Gagan Thakkar www.linkedin.com/in/gaganth/

**** *. ****** **. **** #212, Tempe, AZ 85281 480-***-**** ac5wla@r.postjobfree.com

Summary

Graduate Business Analytics student with over two years of experience in healthcare industry seeking a position in the field of data science that can drive innovative decision making.

Education

W. P. Carey School of Business at Arizona State University, Tempe, AZ May 2018

Master of Science in Business Analytics (MSBA) GPA : 4

Delhi Technological University (Formerly DCE), Delhi, India May 2015

Bachelor of Technology in Engineering Physics

Professional Qualifications

Data Management

Data Mining

Data Analysis

Data Visualization

Optimization Modeling

Predictive Analytics

Unsupervised Learning

Problem Solving

Software: SQL, SAS, Hadoop, R, HIVE, MS-Excel, MS-PowerPoint. Tableau, Python, Azure ML, IBM Watson Analytics.

Business Intelligence

Professional Experience

ESIS – Predictive Analyst (Capstone Project) January 2018 – May 2018

Developed a predictive claim analysis model (Linear regression) that outputs severity score based on the amount incurred

Improved claim handling activities and reduce cost by working on factors causing severity

Associate Data Scientist June 2015 – July 2017

UnitedHealth Group, Noida, India

Responsible for implementing a Predictive Model using advanced modeling methodologies (Logistic regression) to recognize claims having high risk of appeals filing and reprocessing them to save the cost of appeal processing by $200k

Conducted analysis to identify the bottlenecks in appeals processing using mining tools like ProM and Celonis to help make the process more efficient

Built inventory prioritization tool by identifying areas causing delay in claim processing which increased the timely processing of claims from 96.2% to 98.1%

Aggregated and combined from multiple data sources and automated the complete claim lifecycle to be used directly for process mining

Communicated and collaborated with a cross functional team to effectively establish a single claim database for analytical purposes that substantially increased efficiency

Projects

ASU Art Museum September 2017 – November 2017

Provided a framework to track the attendance of the visitors

Modeled an automated way of analyzing the attendance to improve the marketing strategy

Other Achievements

Two research papers got selected in international conferences (Kyoto and Bangkok) and one of them got published in IJARSE (Volume No 04, Special Issue (01), March 2015, ICERTESM-15).

Supervised the event Radix at one the biggest Technical-Management fest (TROIKA – DTU) of India

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