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Data Scientist, Business Intelligence, Analytics Manager, Intern

Chicago, IL
January 08, 2020

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Vikalp Mehta 312-***-**** –


4.5+ years of Strategy and Analytics experience with Market leaders like Samsung has inspired me Designs, develop, and implement innovative analytical solutions and communicating data driven insights to top management with using visualization and building reports. Development and execution of strategical analytics with collaboration.


University of Illinois at Chicago (UIC) Aug 2019 - Present

Master of Science in Business Analytics- Data Science and Business Intelligence Expected Dec 2020

Courses: Data Mining, Statistics, Business Programming with Python, Machine Learning

FORE School of Management June 2013 – May 2015

MBA Marketing GPA (7.78/10)

National Institute of Technology Bhopal July 2007-May 2011

Bachelor of Technology GPA (8.86/10)

Languages and Skills

Soft: Strategy, Business Development, Quality Business Analysis, Team Management, Sales Operations, fact based Data Decisions, Business Intelligence, Data Driven Insights, Communication, Data Analytics

Machine Learning: Regression, Forecasting, Modelling Techniques, Bagging, Data Visualization, Hypothesis testing, Support Vector Machines, Multiclass Classification, Evaluation Matrix, Web Scrapping

Languages and Tools: Python, R, SQL joins, Query writing, Tableau, Jupyter Notebook, Advance Excel


Samsung India Electronics Limited Feb 2018 – July-2019

Area Business Manager-Strategy and Analytics

Lead strategy project for assigned territory to solve a business development Problem. Implemented Market Analytics Insights from Statistical Modelling and Advanced Analytics to identify growth opportunities and associate market analysis. This resulted in 6% share gain in first half of year and 32% revenue growth over last year

Collaborated with internal and external teams to handling escalations, delivering business objectives and deliver training program for use of reporting tools. Creating gateways for team using analytical and Modelling techniques using 12 key features. Proactively Identified opportunities from competitor information with strength and weaknesses.

Lava International Limited Aug 2016 – Jan- 2018

Distribution Manager-Strategy and Analytics

Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations. It Grew revenue by 40% by integrating solutions in Business with organizational goals.


VMware Customer engagement through analytics November-2019

Employed Feature Selection to 100 from 700 features using large and highly Imbalanced Data Set.

Used Random forest, boosting and Resampling techniques to predict 7 level classification problem.

Prediction of Net promoter Score for Manipal Hospital November-2019

Converted customer satisfaction into a tangible matric of 0 and 1 to predict word of mouth.

Executed Data Transforming, Step wise feature selection, Quasi Complete variable removal and Orthogonal polynomial coding for Collinearity removal with accuracy of 60% improved from 46%

Prediction of Credit Default German Credit Data using Python November-2019

Exploratory Analysis and Data Cleaning using Pandas and Numpy. Introduction to Machine Learning Algorithms using Scikit, Sklearn. Feature Selection, Evaluation Matrix Determination with 60% Recall and 80% accuracy.

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