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Top 29 Financial Analysis Freelancers on 20 Jul 2019 on Toogit. Financial Analysis Freelancers on Toogit are highly skilled and talented. Hiring Financial Analysis Freelancers on Toogit is quite affordable as compared to a full-time employee and you can save upto 50% in business cost by hiring Financial Analysis Freelancers on Toogit. Hiring Financial Analysis Freelancers on Toogit is 100% safe as the money is released to the Freelancer only after you are 100% satisfied with the work.

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Armstrong M.Program and Software Developer, Kenya
$25 /hr
0 Years Exp.
0 Followers
My life turned around immediately after my MSc in Software Engineering. I quickly discovered that the practical perspectives and activities in the maj...Read More
Saleem M.Finance Officer, Pakistan
$10 /hr
4 Years Exp.
0 Followers
I would like to introduce myself as an ACCA Member who had also obtained BSc Honors in Applied Accounting from Oxford Brookes University. My courses i...Read More
Mohammed Anfas Senior Accountant, Qatar
$22 /hr
7 Years Exp.
0 Followers
I am currently working as a Full time senior accountant at a Holding company in Doha Qatar. I can offer - 7 years of Financial Accounting, Business...Read More
Sasi M.Financial Analyst, India
$10 /hr
12 Years Exp.
0 Followers
I am an MBA graduate with 12 years of experience in Financial Management and Analysis.
Marium Financial analysts , Pakistan
$10 /hr
0 Years Exp.
0 Followers
I am an Acca affiliate with entrepreneurial experience in running my own small business setups..I am proficient in English writing and translation tas...Read More
I am qualified Chartered Accountant (Level 2) and bachelor in commerce with more than 3 year experience in providing support services in audit and ass...Read More
Md Saiful Islam Khan Financial Analyst, Bangladesh
$20 /hr
8 Years Exp.
0 Followers
I am Chartered Certified Accountant with 8+ years experience in Financial Planning and management.
I am a qualified Chartered Accountant who has been working in the finance /Accounting Field for last 7 years. I have extensive experience on auditing,...Read More
Manaswi Financial Analyst, India
$10 /hr
5 Years Exp.
0 Followers
I am semi qualified CA with 5+ years of experience into Financial Accounting, Analysis, Auditing, SAP Hana, Quick Books, Accounts Receivables and Reve...Read More
Melody Rabanal Certified Public Accountant, Philippines
$11 /hr
16 Years Exp.
0 Followers
I am a Certified Public Accountant with 16+ years of experience in general accounting and bookkeeping. I am currently employed as a Financial Secret...Read More
Piush Financial Analyst, India
$15 /hr
8 Years Exp.
0 Followers
I am a financial analyst and worked with top 5 Global Investment Banks . I have been also working as a consultant for few venture funds to provide in...Read More
Akash Tolani Financial Technology Consultant, India
$30 /hr
6 Years Exp.
0 Followers
Well-qualified financial technology professional with 6 years of experience in industry and management consultancy with expertise in consumer products...Read More
Estrella A.Senior Accountant, Philippines
$15 /hr
23 Years Exp.
0 Followers
I am a Senior Accountant with extensive experience in General Accounting. I have worked with several companies local and overseas with different indus...Read More
Gaurav Data & Financial Analyst, India
$16 /hr
12 Years Exp.
0 Followers
I have worked with banks and different financial organisations as a Manager Finance, Data Manager. Excel and Excel Pivot is my excellence. Data filter...Read More
Remedios Cabigao tax accountant, Philippines
$20 /hr
15 Years Exp.
0 Followers
I'm proficient in Philippine Tax Audit, Tax Assesment , BIR Filing and FS preparation.
Jehanzeb Financial Accountant , Pakistan
$8 /hr
3 Years Exp.
0 Followers
I am a professional financial accountant. I have worked in the areas of financial accounting and planning and maintaining, updating books, preparing f...Read More
George Mechanical engineering specialist , Kenya
$6 /hr
0 Years Exp.
0 Followers
Am determined to technical appearance
John W.Forex Trader and MArket Analyst, Kenya
$25 /hr
0 Years Exp.
0 Followers
My name is John Mbugua, I am a forex trader and market analyst. I have been in this industry for the past 5 years where I've been in able to grow...Read More
Esther Nderitu Business Analyst, Kenya
$10 /hr
4 Years Exp.
0 Followers
I am a University graduate, Bachelor of Commerce-finance option finalist. An ongoing student pursuing Certified Public Accountants course (CPA). Havin...Read More
Emad K.Freelance translator English into Arabic, Kenya
$25 /hr
25 Years Exp.
0 Followers
My experience is over than 25 years covers a wide scope of areas including Veterinary fields, Websites, Marketing materials, Environment, Legal, user...Read More
Peer Abdul Mannan Financial analyst, Pakistan
$10 /hr
10 Years Exp.
0 Followers
• MSc (Economics),CA (Foundation) • Over 10 years’ experience in Admin/Finance/ Acc...Read More
Qasim Anwar Technical analyst, Pakistan
$100 /hr
15 Years Exp.
0 Followers
I am a CMT (chartered market technician). I am prfessional trader. Have 15 years of experience analyzing stocks, commodities & currencies. I have...Read More
Rajneesh CFA with 10 years of work experience , India
$22 /hr
10 Years Exp.
0 Followers
I have over 10 years of rich experience in creating financial models (DCF) from scratch. My prior work experience includes a long stint in the investm...Read More
Arturo Amparado Account Examiner, Philippines
$20 /hr
15 Years Exp.
0 Followers
I am a non-CPA Accountant with a background in Law/Legal Matters. I am also an Analysts acquired with years of experienced in the field of accountanc...Read More
Olayinka Business Analyst, Nigeria
$20 /hr
2 Years Exp.
0 Followers
Focused and driven business and financial advisory professional with proficient analytical and communication skills. I currently work in one of th...Read More
Muhammad Arslan Teacher , Pakistan
$11 /hr
2 Years Exp.
0 Followers
Mr. MUHAMMAD ARSLAN is currently doing Master of Science (Management Sciences) Degree from Capital University of Science and Technology, Islamabad. He...Read More
Rowell L.Business Analyst, Philippines
$20 /hr
12 Years Exp.
0 Followers
I have an MBA degree from the Ateneo Graduate School of Business.
Lydiah W.Certified Public Accountant, Kenya
$40 /hr
5 Years Exp.
0 Followers
I am a certified Public Accountant with well experience for a long time
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Skills related to Financial Analysis

Articles Related To Financial Analysis


The global demand for data Science professionals is extremely high because of increasing relevance across various sectors. Data Science has become the most-sought skill because the data is piling along with a surge in different tech fields like Artificial Intelligence, machine learning and data Analytics. Hiring data scientist is being carried across numerous domains like e-commerce, education, retail, telecommunication and much more.

 

In the past years, analysts used excel tools to analyze data. Things are changing now! In this modern world, data-driven decision making is sparkling and technology is advanced in the data industry. The tools and technologies that modern Data Scientists employ are a combination of statistical and Machine Learning algorithms. They are used to discover patterns using predictive models. The future of Data Science is bright and the options for its implementation are extensive.

 

Data Scientists must consistently evolve at the edge of innovation and creativity. They must be aware of the types of models they create. These innovations will allow them to spend time discovering new things that may be of value. Subsequently, the advances in Data Science tools will help leverage existing Data Science talent to a greater extent.

 

So what does a Data Scientist do?

Data Scientists influence a pile of data in an innovative way to discover valuable trends and insights. This approach helps to identify opportunities by implementing research and management tools to optimize business processes by reducing the risks. Data Scientists are also responsible for designing and implementing processes for data mining, research and modeling purposes.

 

Data scientist performs research and analyses data and help companies flourish by predicting growth, trends and business insights based on a large amount of data. Basically, data scientists are massive data wranglers. They take a vast data and use their skills in mathematics, statistics and programming to scrub and organize the information. All their analysis combined with industrial knowledge helps to uncover hidden solutions to business challenges.

 

Generally, a data scientist needs to know what could be the output of the big data he/she is analyzing. He/she also needs to have a clearly defined plan on how the output can be achieved with the available resources and time. Most of all the data scientists must know the reason behind his attempt to analyze the big data.

 

To achieve all of the above, a data scientist may be required to:

 

Every organization has unique data problems with its own complexities. Solving different Data Science problems requires different skill sets. Data Science teams are groups of professionals with varied skill sets. They, as a team, solve some of the hardest data problems an organization might face. Each member contributes distinctive skill set required to complete a Data Science project from start to finish.

 

The Career Opportunities:

The careers associated with data science are generally categorized into five.

 

  1. Statisticians: Statisticians work usually for national governments, marketing research firms and research institutes. Extracting information from massive databases through numerous statistical procedures is what they do.
  2. Data Analyst: Telecommunication companies, manufacturing companies, financial companies etc. hire data scientists to analyze their data. A data analyst keeps track of various factors affecting company operation and make visual graphics.
  3. Big Data and Data Mining Engineer: Tech companies, retail companies and recreation companies use data scientists as data mining engineers. They have to gather and analyze huge amounts of data, typically from unstructured information.
  4. Business Intelligence Reporting Professional: They work for tech companies, financial companies, and consulting companies etc. Market research is the primary objective of this job. They also generate various reports from the structured data to improve the business.
  5. Project Manager: A project manager evaluates data and insights fetched from the operational departments and influences the business decisions. They have to plan the work and make sure everything goes in accordance with the plan.

Python is one of the fastest growing programming languages. It has undergone more than 28 years of the successful span. Python itself reveals its success story and a promising future ahead. Python programming language is presently being used by a number of high traffic websites including Google, Yahoo Groups, Yahoo Maps, Shopzilla, Web Therapy, Facebook, NASA, Nokia, IBM, SGI Inc, Quora, Dropbox, Instagram and Youtube. Similarly, Python also discovers a countless use for creating gaming, financial, scientific and instructive applications.

 

Python is a fast, flexible, and powerful programing language that's freely available and used in many application domains. Python is known for its clear syntax, concise code, fast process, and cross-platform compatibility.

 

Python is considered to be in the first place in the list of all AI and machine learning development languages due to the simplicity. The syntaxes belonging to python are terribly easy and can be easily learn. Therefore, several AI algorithms will be easily implemented in it. Python takes short development time as compared to different languages like Java, C++ or Ruby. Python supports object oriented, functional as well as procedure oriented styles of programming. There are lots of libraries in python that make our tasks easier.

 

Some technologies relying on python:

Python has become the core language as far as the success of following technologies is concerned. Let’s dive into the technologies which use python as a core element for research, production and further developments.

 

  1. Networking: Networking is another field in which python has a brighter scope in the future. Python programming language is used to read, write and configure routers and switches and perform other networking automation tasks in a cost-effective and secure manner.
  2. Big Data: The future scope of python programming language can also be predicted by the way it has helped big data technology to grow. Python has been successfully contributing in analyzing a large number of data sets across computer clusters through its high-performance toolkits and libraries.
  3. Artificial Intelligence (AI): There are plenty of python frameworks, libraries, and tools that are specifically developed to direct Artificial Intelligence to reduce human efforts with increased accuracy and efficiency for various development purposes. It is only the Artificial Intelligence that has made it possible to develop speech recognition system, interpreting data like images, videos etc.

 

Why Choose Python for Artificial Intelligence and Machine Learning?

Whether a startup or associate MNC, Python provides a large list of benefits to all. The usage of Python is specified it cannot be restricted to only one activity. Its growing popularity has allowed it to enter into some of the most popular and complicated processes like artificial intelligence (AI), Machine Learning (ML), natural language process, data science etc. The question is why Python is gaining such momentum in AI? And therefore the answer lies below:

 

Flexibility: Flexibility is one of the core advantages of Python. With the option to choose between OOPs approach and scripting, Python is suitable for every purpose. It works as a perfect backend and it also suitable for linking different data structures together.

 

Platform agnostic: Python provides developer with the flexibility to provide an API from the existing programming language. Python is also platform independent, with just minor changes in the source codes, you can get your project or application up and running on different operating systems.

 

Support: Python is a completely open source with a great community. There is a host of resources available which can get any developer up to speed in no time. Not to forget, there is a huge community of active coders willing to help programmers in every stage of developing cycle.

 

Prebuilt Libraries: Python has a lot of libraries for every need of your AI project. Few names include Numpy for scientific computation, Scipy for advanced computing and Pybrain for machine learning.

 

Less Code: Python provides ease of testing - one of the best among competitors. Python helps in easy writing and execution of codes. Python can implement the same logic with as much as 1/5th code as compared to other OOPs languages.

 

Applications of Python:

There are so many applications of Python in the real world. But over time we’ve seen that there are three main applications for Python

Web Development: Web frameworks that are based on Python like Django and Flask have recently become very popular for web development.

Data Science (including Machine Learning): Machine Learning with Python has made it possible to recognize images, videos, speech recognition and much more.

Data Analysis/Visualization: Python is also better for data manipulation and repeated tasks. Python helps in the analysis of a large amount of data through its high-performance libraries and tools. One of the most popular Python libraries for the data visualization is Matplotlib.

 

What is a web scraping?

Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. Web scraping software may access the World Wide Web directly using the Hypertext Transfer Protocol, or through a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a bot or web crawler. It is a form of copying, in which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis.

Web scraping a web page involves fetching it and extracting from it. Fetching is the downloading of a page (which a browser does when you view the page). Therefore, web crawling is a main component of web scraping, to fetch pages for later processing. Once fetched, then extraction can take place. The content of a page may be parsed, searched, reformatted, its data copied into a spreadsheet, and so on. Web scrapers typically take something out of a page, to make use of it for another purpose somewhere else. An example would be to find and copy names and phone numbers, or companies and their URLs, to a list (contact scraping).

 

What you can do with data scraping?

Web scraping is used for content scraping, and as a component of applications used for web indexing, web mining and data mining, online price change monitoring and price comparison, product review scraping (to watch the competition), gathering real estate listings, weather data monitoring, website change detection, research, tracking online presence and reputation, web mashup and, web data integration.

Using data scraping you can build sitemaps that will navigate the site and extract the data. Using different type selectors you will navigate the site and extract multiple types of data - text, tables, images, links and more.

 

What role scraper should play for you?

Web scraping is the process of automatically mining data or collecting information from the World Wide Web. It is a field with active developments sharing a common goal with the semantic web vision, an ambitious initiative that still requires breakthroughs in text processing, semantic understanding, artificial intelligence and human-computer interactions. Current web scraping solutions range from the ad-hoc, requiring human effort, to fully automated systems that are able to convert entire web sites into structured information, with limitations.

 

Below are the ways for scraping data:

  • Human Copy Paste : Sometimes even the best web-scraping technology cannot replace a human’s manual examination and copy-and-paste, and sometimes this may be the only workable solution when the websites for scraping explicitly set up barriers to prevent machine automation.
  • Text Pattern Matching : A simple yet powerful approach to extract information from web pages can be based on the UNIX grep command or regular expression-matching facilities of programming languages
  • HTTP programming : Static and dynamic web pages can be retrieved by posting HTTP requests to the remote web server using socket programming.
  • HTML parsing : Many websites have large collections of pages generated dynamically from an underlying structured source like a database. Data of the same category are typically encoded into similar pages by a common script or template. In data mining, a program that detects such templates in a particular information source, extracts its content and translates it into a relational form, is called a wrapper. Wrapper generation algorithms assume that input pages of a wrapper induction system conform to a common template and that they can be easily identified in terms of a URL common scheme.Moreover, some semi-structured data query languages, such as Xquery and the HTQL, can be used to parse HTML pages and to retrieve and transform page content.
  • DOM parsing: By embedding a full-fledged web browser, such as the Internet Explorer or the Mozilla browser control, programs can retrieve the dynamic content generated by client-side scripts. These browser controls also parse web pages into a DOM tree, based on which programs can retrieve parts of the pages.
  • Vertical aggregation : There are several companies that have developed vertical specific harvesting platforms. These platforms create and monitor a multitude of “bots” for specific verticals with no "man in the loop" (no direct human involvement), and no work related to a specific target site. The preparation involves establishing the knowledge base for the entire vertical and then the platform creates the bots automatically. The platform's robustness is measured by the quality of the information it retrieves (usually number of fields) and its scalability (how quick it can scale up to hundreds or thousands of sites). This scalability is mostly used to target the Long Tail of sites that common aggregators find complicated or too labor-intensive to harvest content from.
  • Semantic annotation recognizing : The pages being scraped may embrace metadata or semantic markups and annotations, which can be used to locate specific data snippets. If the annotations are embedded in the pages, as Microformat does, this technique can be viewed as a special case of DOM parsing. In another case, the annotations, organized into a semantic layer,are stored and managed separately from the web pages, so the scrapers can retrieve data schema and instructions from this layer before scraping the pages.
  • Computer vision web-page analysis : There are efforts using machine learning and computer vision that attempt to identify and extract information from web pages by interpreting pages visually as a human being would.

 

Key Features of Web Scraping

In order to remain competitive, businesses must be able to act quickly and assuredly in the markets. Web Scraping plays a big role in the development of various business organizations that use the services. 

The benefits of these services are: 

  1. Low Cost: Web Scraping service saves hundreds of thousands of man-hours and money as the use of scraping service completely avoids manual work.
  2. Less Time: Scraping solution not only helps to lower the cost, it also reduces the time involved in data extraction task. This tool ensures and gathers fast results required by people.
  3. Accurate Results: Web Scraping solutions help to get the most accurate and fast results that cannot be collected by human beings. It generates correct product pricing data, sales leads, duplication of online database, captures real estate data, financial data, job postings, auction information and many more.
  4. Time to Market Advantage: Fast and accurate results help businesses to save time, money and labor and get an obvious time-tomarket advantage over the competitors.
  5. High Quality: A Web Scraping solution provides access to clean, structured and high quality data through scraping APIs so that the fresh data can be integrated into the systems.

Finding and hiring expert scraper/crawler

It’s important to note that not all scraper will be ideal fits for every project. For example, those with highly analytical backgrounds in software engineering would be ideal for developing algorithms but may not be the right fit for a data scraping project. That’s why it’s so important to understand what type of scraping expert will bring the most benefit to your company and business goals.

Here are some questions to consider:

What is the overall learning you hope to find? 

By including your goal in the project description, it allows professionals to better understand what type of work is required.

 

What core skills will scraping experts need to complete the project? 

The answer will revolve around your current data infrastructure and the processes used to extract information.

 

Would you benefit from someone with highly specialized skills in a few areas of data scraping, or would a well-rounded expert serve you better?

 

Are there any time constraints to consider with this project?

Let professionals know the amount of hours of work that might be involved.

 

What kind of budget will this project have? 

The more experience and expertise a data scraper has, the higher they expect to be compensated. Higher budgets will more likely give top-tier experts a reason to submit a proposal.

 

Web scraping project template

Below is a sample of how a project description may look. Keep in mind that many people use the term “job description,” but a full job description is only needed for employees. When engaging a freelancer as an independent contractor, you typically just need a statement of work, job post, or any other document that describes the work to be done.

<Job/Project Title>

ABC Company is looking for a web scraping expert to help us study our website traffic patterns and find areas of improvement. This project is estimated to require approximately 20-25 hours per week for the next few months to achieve the following goals

  • Reporting findings in a weekly summary
  • Split testing underperforming pages and recording results
  • Discovering which pages currently perform best
  • Organizing site data into spreadsheets

The following skills are required:

The ideal freelancer will be a creative problem solver with an excellent work history on Toogit. To submit a proposal, please send a short summary of similar projects you’ve completed and why we should consider you for this project.

  • Excellent technical abilities
  • Knowledge of quantitative split testing
  • Experience with WordPress and Google Analytics
  • A thorough understanding of MySQL databases
  • Expertise or extensive experience with Python

 

Hiring the right Web Scraping talent

Remember that technical ability is only a small portion of what makes an excellent web scraper. Great web scrapers are inquisitive—they want to ensure that they’re seeking the right types of answers, plus they’ll take an interest in your business to better understand it. The ideal professional will also be able to advise you on additional metrics to analyze and compare in order to help you meet your goals.

Also, keep in mind that communication is always a key consideration in the data science field. A brief interview can allow you to gauge how strong each professional is in expressing ideas and explaining their process. The more you speak to each professional by phone, email, or chat, the better you’ll be able to gauge their professionalism and communication skills and determine whether they’re right for your project.

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