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Information Technology Data

Chicago, Illinois, United States
November 15, 2017

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Illinois Institute of Technology Masters in Information Technology Management (GPA-4.0/4.0) 2016 – 2018 College of Engineering Guindy Bachelor’s Information Technology (GPA-3.67/4.0) 2011 – 2015 EXPERIENCE

ITM Department, IIT, Chicago – Graduate Teaching Assistant Sep 2017 – present

• Guided students by teaching them T-SQL and relational models.

• Assisted professor by tutoring for the topic Business Intelligence and Data analytics. IIT, Chicago - Technology Assistant to Associate VP of International Affairs Apr 2017 – Sep 2017

• Created and documented flow for agreement and admission process for research students at IIT.

• Generated reports and dashboard to compare international check-in students in salesforce. Temenos India Private Limited, Chennai, India – Data Analyst Jul 2015 - Aug 2016 Customer and Market Research team of a large software company

• Predicted market shares of software products using time series forecasting. Global Marketing Operations team of a large software company

• Predicted the increase of customer base using logistic regression model upon release of new version of software.

• Build time series models for customer migration rates from older to newer version of the product. National Informatic Center – Data Science Intern Jan 2015 - Jun 2015

• Performed space utilization and prioritized products in shelf space which increased profits by 7%.

• Segmented the stores of a Fortune 30 home improvement retailer using K Means clustering and optimized the pricing strategy by analyzing market elasticity across segments.

• Developed an interactive dashboard using Tableau to analyses the competitive performance of a product for a pharmaceutical manufacturer and identified underperforming markets SKILLS

• Analytic Tools: Python, SAS, R, SQL.

• Big Data Tools: Hadoop, Spark.

• Techniques: Machine Learning, Hypothesis Testing, Statistical Modeling, Classification and Regression, Predictive Analytics, Association Rules, Topic Modeling, Clustering, Time Series Analysis

• Visualization: Tableau.


Shopping Application – Advanced Database Management System

• Designed data model as per the project specification and performed analysis by running SQL queries.

• Created dashboards in targeting profitable revenue market through analyzing data on client purchases in Tableau. Chipotle Mexican Grill – Data analysis with Excel

• Suggested chipotle for areas to expand and recommended alteration of menu to attract customer’s and increase profitability.

• Visualized frequency distribution of chipotle market chain to conclude areas of market expansion.

• Analyzed data by creating pivot tables to endorse most selling starters in the menu and discourage the least preferred. Titanic Survivors – Data Mining in R

• Handling missing data and cleaning the TITANIC dataset using predictive modelling techniques.

• Implemented KNN means algorithm to predict what sort of people are likely to survive on the TITANIC. CTA vs Metra in Chicago – Hypothesis Testing in Excel and R

• Performed two sample dependent hypothesis testing to determine ascertain if the cost of CTA and metra are identical.

• Visualized and analyzed normal probability plot, residual and line fit plot to conclude cost between CTA & metra are alike. Retail Computer Store – Linear Regression in R

• Built a multiple regression model for computer sales data considering feature selection techniques and seasonal variation.

• Evaluated the model by performing residual analysis. Dealt with influential points, dummy variables and overfitting problem. Gymnasium Membership - Python & R

• Performed feature selection on variables and segmented customers into clusters by using K-means clustering algorithm.

• Recommended target customers for the gym.


Information Technology Infrastructure Library December 2016

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