Arpit A.

ABOUT ME

I love to draw insights from data involving Variety, Volume, Velocity and converting into tailor made business strategies to quantify KPIs for data driven decision making. Over the time, gained knowledge on business processes, agile methodologies and expertise in machine learning.
Statistical Analysis:
Descriptive, Inferential and Prescriptive Statistics and Exploratory Data Analysis.
Machine Learning:
Regression Models - Simple, Multiple and Logistic Regression
Classification Problems using KNN, Decision Trees, Naive Bayes and Support Vector Machines Models, Artificial Neural Networks
Unsupervised Learning: Principal Component Analysis, Factor Analysis, K-means & Hierarchical Clustering on real world business problems.
Associate Rule Mining: Market Basket Analysis
Model Building: R & Python
Visualization/BI: Tableau
No SQL Databases: MongoDB
Version Control: GIT
Career Interests: Artificial Intelligence, Neural Networks and Deep Learning
I firmly believes in my strong diagnostic skills and relentless desire to learn cutting edge technologies always put challenges in front and conquer targets by being adaptive to the transforming digital world.

SKILLS