Biography

I’m a passionate Data Science and Data Engineering professional with 3+ years of experience, currently pursuing Masters in Business Analytics at University of Illinois at Chicago. I enjoy working with data to derive business insights and build predictive models. I am interested in working on efficient data engineering solutions for AI/ML applications.

I love working on innovative projects and developing applications for business use. I enjoy watching Formula 1, reading books and watching TV shows in my free time.

Interests

Data Engineering
Health Care Analytics
Artificial Intelligence
Machine Learning

Education

MS in Business Analytics, 2021
University of Illinois, Chicago
B.Eng in Mechanical Engineering, 2016
Visvesvaraya Technological University

Experience

Data Science - Intern (Capstone Project)

Real Time Risk Solutions

Feb 2021 – Present Chicago

• Collaborated with domain experts and explored the concept of risk assessment at construction sites.
• Designed the project plan for implementing image captioning system to detect accident prone areas.

Data Science - Intern (Co-op)

Oncocare Analytics LLC (Former Bluerock Healthcare)

Oct 2020 – Present Chicago

• Spearheaded the development of predictive models and analytical platforms for healthcare providers to improve patient experience with value-based care.
• Built end-to-end pipelines for data transformations using Alteryx. Performed visualization of patient claims using Tableau. Analyzed for trends in expenditure of drugs and hospitalization.
• Developed predictive models to identify candidates with high resource utilization based on patient claims. Built cox regression model to predict mortality based on disease characteristics.
• Provided analytical consulting for best practices, tools, and technologies.

Research Assistant

University of Illinois, Chicago

May 2020 – Aug 2020 Chicago

• Assisted Professor Ranganathan Chandrasekaran at UIC in pioneering the concept of “Analyzing linguistic depression markers using Social Media”.
• Orchestrated data pipelines to extract Twitter data of self-declared depression candidates. Deployed Azure Face API and M3 instance into the pipeline for extracting user attributes like age and gender.
• Performed feature selection by extracting Latent Variables using Anchored-Corex algorithm. Built the model using Conditional logistic regression to depict the difference in depression characteristics over time.

Software Engineer (Date Engineering)

Tata Consultancy Services Ltd

Mar 2018 – Aug 2019 Bangalore, India

• Collaborated closely with the Voice Utility Team of American Express. Developed and maintained Data warehouse for customer contact management centers.
• Delivered business insights on performance of predictive dialers. Built interactive reporting dashboards for analyzing KPIs.
• Developed ETL jobs using SSIS and loaded the data mart with data from source systems in heterogenous formats. Built data pipelines using python for monitoring business intelligence systems. • Provided on-call support for deployments and production outages.

Assistant Software Engineer

Tata Consultancy Services Ltd

Feb 2017 – Mar 2018 Bangalore, India

• Designed and implemented business intelligence platforms. Developed the schema for fact & dimension tables and loaded the data using IBM DataStage from the source systems.
• optimized the runtime of complex SQL queries and worked on appropriate indexing methods.
• Designed interactive Cognos decision dashboards for understanding the customer churn of the Telecom Products. Identified factors influencing salses worth $1.6 billion dollars.

Projects

Kannada to English Translator

REST API to convert Kannada sentences to English using Seq2Seq Nueral Network model. Implemented attention mechanism. Deployed the transalation model on Google Cloud using cloud functions. The transaltion model is implemented using PyTorch.

Reviewed Based Recommendation System

Web application for product recommendations to customers based on their reviews at the online grocery store. The web application is a prototype to mimic a real time application where the recommendations are rendered with product images for a given input string as a review.