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Project Engineer

Chicago, Illinois, United States
January 03, 2019

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Highly motivated, enthusiastic and detail oriented Analyst, with 4 years in Analytics and overall 12 years of progressive experience in IT, business strategy. Accustomed to analyze very large datasets (using SQL, Hive, and SAS Enterprise Miner), uncover trends and patterns, prepare and deliver insights, recommend strategic business decisions through Quantitative modeling techniques using R, Python. Proficient in identifying KPIs and designing Visualizations using Tableau. Capable of interacting with functional experts, understand challenges and identify new opportunities. Knowledge of Ab Initio and ETL. Technical Skills: SAS, R, Python, SQL, Spark, Tableau, Alteryx Certifications: Tableau Desktop Specialist, SAS BA, Google Analytics EDUCATION

M.S. in Business Analytics & Project Management, University Of Connecticut, Hartford, CT, GPA: 3.81/4.00 May 2017 Bachelor of Technology in Electronics and Communications, Acharya Nagarjuna University, India June 2005 EXPERIENCE

TRANSUNION LLC July 2017 - Present

Senior Analyst, Financial Services

Created Retrospective Analysis, Market Sizing Analysis, Portfolio Analysis, Fraud Analysis and Propensity Reports using bureau data for multiple clients on different lines of business.

Investigated anomalies in the data reported to bureau and resolved discrepancies which saved about 5M to the company.

Leveraged the statistic models like gradient boosting, random forest and logistic regression to create quantitative models to predict response, risk and attrition of consumers and presented the results to the stakeholders, sales and product teams.

Created Dashboards for Mortgage, Credit Card, and Consumer Loans modules to visualize the KPIs.

Presented Data Strategies to match In-house property data to 3rd party data and created opportunity to 3 new projects.

Articulated Process Mapping diagrams using Visio and created the project life cycle using Agile Central which improved deliverable cycle up to 30%.

TATA CONSULTANCY SERVICES, HYDERABAD, INDIA 2006 - 2015 Project Lead / IT Analyst, Vodafone, Western Union Feb 2014 - Dec 2015

Lead a team of 10 to validate Western Union fraudulent alert investigation system software and created metrics for the investigations performed and provided inputs for optimizing the investigation process which saved the company up to 2M.

Created Dashboards for Vodafone global customer complaints/requests, refined the SLAs, by tracking the number of incoming TRs (Trouble Requests), their severity and the availability of personnel. Reduced service execution time by 20%. Senior IT Engineer, Ansaldo STS, Pittsburgh, USA April 2006 – Jan 2014

Led a team of 8 in onsite/offshore model, managed all phases of project lifecycle (SDLC) for 4 different Railway Projects.

Created Business Requirement (BRD), Functional Requirement and Requirement Traceability Matrix (RTM) related documents.

Successfully delivered complex $3M project serving as SME, collaborating with cross-functional teams and various vendors.

Created process workflows, use cases, user stories, test plans, impact analysis, regression test strategies and presided scrum sessions, weekly team and monthly meetings to review progress.

Involved in design, development and testing of the software products using VC++. ACADEMICS

COURSE WORK : Statistical Testing using parametric and non-parametric methods, Predictive Modeling, Linear/Logistic Regression, Data Mining, Segmentation, Regularization, Support Vector Machines, Principal Components Analysis, Clustering, Text Mining, A/B Testing, Natural Language Processing, Survival Analytics, Optimization, Business Decision Modeling. PROJECTS:

Capstone Project – Analyzed LAZ parking occupancy data to find trends and patterns using time series. Implemented competitor Analysis, advocated resource optimization, dynamic pricing models which boosts revenue by 4-6%. TechCrunch Twitter Data- Performed Social Network Analysis to analyze Eigenvectors of TechCrunch using Gephi tool. Provided recommendations to enhance reach to eventually result in more sponsors, recognition and revenue for the platform. Trip Advisor Customer Reviews and Ratings: Analyzed 5322 hotel ratings and 1048574 reviews and identified top 10 best, worst, most reviewed hotel issues through Topic nodes using SAS Enterprise Miner. Built forecasting models (Linear Trend + Seasonal Dummy + ARMA) to forecast the future rating of the hotel and provided insights to Trip advisor recommendation systems.

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