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Data Scientist/Data Analyst

Chantilly, Virginia, United States
November 12, 2017

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202-***-**** **** Virginia Avenue NW, #D204, Washington, DC 20037


THE GEORGE WASHINGTON UNIVERSITY, School of Business Washington, DC Master of Science, Business Analytics, GPA – 3.78 December 2017

• Tuition Fellowship - The George Washington University

• Areas of focus: Predictive Modelling, Forecasting, Social Media Analytics and Visualization

• Courses: Data Mining, Time Series Analysis, Programming for Analytics, Statistics, Optimization, Digital Analytics, Data Management and Probability

ANNA UNIVERSITY, College of Engineering, Guindy Chennai, India Bachelors of Engineering, Electronics and Communication, GPA – 3.48 April 2014

• Relevant courses: UNIX, Data Structures and Object Oriented Programming, Java and Web Technology

• Head, Workshop Portfolio - Kurukshetra 2014 - annual Techno-Management symposium of CEG, patronaged by UNESCO RELEVANT PROJECTS

• Fatality and Diseases Analyzation – GWU Practicum: Worked with Center for Disease Control and Prevention (CDC) to identify co-occurring fatal diseases and injuries by analyzing mortality data using SAS

• Kaggle - House Price Prediction: Built an XGBoost model in Python to predict selling prices of residential properties in Iowa

• Predicting a Movie’s Success: Built a logistic regression in R to predict 2017 Oscars Best Picture nominations using Twitter sentiment scores and scraping data from IMDB and Rotten Tomatoes websites

• Analysis of Austin’s Government Spending: Wrangled open census data, developed a star schema and analyzed the spending trends for FY 2014 – FY 2016 using PostgreSQL


Certifications: Google Analytics, Python specialization – Coursera, R programming – edX, Data Science and ML essentials - edX Tools/Software: R Programming, Python, SQL, Splunk, SAS, JMP, Tableau, Google Analytics, Excel, UNIX, HTML and Github EXPERIENCE


Data Analyst Intern May 2017 – Present

• Analyzed Salesforce and SDE ticket data in Splunk to generate insights and assist operations team in monitoring satellite network

• Automated SLA report generation using Splunk, enhanced the visuals and reduced SLA reporting error by 10%

• Intern Hackathon: Built a Neural Network model to analyze quarterly customer survey responses and predict customer churn, projected to save approximately $2.3M over a period of 3 years GEORGE WASHINGTON UNIVERSITY Washington, DC, USA

Student Programmer – Scholarly Technology Group March 2017 – May 2017

• Developed software for an open source project, Social Feed Manager(SFM) - a web application that allows users to collect social media data from platforms like Twitter, Flickr and Tumblr

• Used Python, Django, Docker and Git to build SFM INFOSYS LIMITED Bangalore, India

India’s second largest MNC IT service provider dealing with business consulting and outsourcing Senior Associate Analyst - Analytics Delivery May 2014 – June 2016

• Forecasted and evaluated Starbucks retail products sales and brand market share across the retail stores in USA using Time Series Analysis and R programming, supporting the planning team executives on decision making process, ultimately improving annual sales by 5%

• Developed interactive Tableau dashboards to visualize insights of coffee products’ market competitor analysis, led to strategy that increased market share by 1.5% annually

• Reported KPIs on a weekly, monthly and a quarterly basis, liaising with the Category Development team to understand and evaluate key business metrics

• Conducted availability analysis, improving the Starbucks product stock accessibility by 8% across top 25 retailers

• Performed sentiment analysis on Starbucks products, analyzed tweets to evaluate customer opinion, contributing to the development of a consumer need oriented strategy


Awards: Recipient of Dean’s Appreciation Letter for commendable role as a workshop head for Kurukshetra 2014

Leadership: Led a team of 150 juniors as head of workshop portfolio - Kurukshetra 2014; Student Director, CEG Tech Forum - Anna University- 2014

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