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Abhinav Chanda



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About Me

4+ years of experience in technology consulting - solving machine learning and business analytics challenges. I work end-to-end on developing business cases and solving them through data in the B2C and B2B sectors. In 2020, I earned a Master's degree in Business Analytics from Purdue University with a concentration in Data Science. Additionally, I have led and collaborated with cross-functional teams across the globe. As an avid sports and tech fan, I try keeping up to date about the latest in data science, soccer, basketball and martial arts.

Experience

Tredence Inc.

Associate - Machine Learning & Business Analytics

  • Worked with the Customer Insights team for the world's leading retailer to identify custom audiences for 3rd party campaigns and provide custom descriptive & predictive insights around various retail use cases, boosting quarterly contract utilization rates by 67% along with a 55% increase in the client base.
  • Led a team of 7 analysts in conceptualizing and designing a machine learning pipeline to predict product activation propensities and analyze customer level features impacting the propensity in the B2B space for the world's leading telecommunications firm - resulting in a 30% improvement in product activations.
  • Received 2 quarterly performance-based awards in the first 3 quarters of my tenure.

Biz Analytics Lab, LLC

Data Science Intern

  • Developed the firm's website highlighting the company mission, objectives & offerings along with a eCommerce platform to purchase courses.
  • Worked on creating an Azure ML course for end-to-end data science on the cloud.

Confidential

Data Science Intern

  • Designed an end-to-end pipeline to detect ADA compliance of products listed on the digital platform leading to potential savings of up to $7.5 Mn due to a reduction in manual effort and audit findings.
  • Utilized Tensor Flow for label detection and Tesseract OCR for text parsing from images.
  • Implemented a validation Framework using OOP to create a scalable, configurable and customer-centric tool.
  • Created a reporting dashboard using Tableau for monitoring category-wise product compliance.

Deloitte Consulting

Business Analyst

  • Formulated cohesive BI solutions for dashboard reporting and measuring KPIs by interfacing with US and Canadian business teams; ensured delivery commitments were met, improved client’s resource utilization by 15%.
  • Automated 12 financial procedures for streamlining strategy execution, generating savings of $1 Mn each year.
  • Coordinated with cross-functional teams in Australia to refine organizational strategy for material management and scheduling, saving 60 hours per week.
  • Spearheaded an initiative to digitize consumer complaint logging and onboarding for a major US energy services provider saving over 15 hours of manual effort per week.
  • Supervised team of five analysts in developing an ETL architecture for sensor data using Hive/SQL and Tableau for enabling predictive maintenance leading to system downtime reduction by 20%.
  • Recipient of 5 performance based awards for exceptional work done in BI development. Additionally, Led primary research on application customizations for new markets; white papers published on global SAP platforms.

Education

Purdue University

June 2019 - May 2020

Master of Science in Business Analytics and Information Management

KIIT University

August 2012 - April 2016

Bachelor of Technology in Electronics and Telecommunications Engineering

Projects

A Novel Application of OCR for Product Compliance

An application of web crawling, image processing, optical character recognition and object oriented programming to determine product compliance for a major US retailer.

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NFL Big Data Bowl

Predicting rushing yards gained or lost by an offensive team on a given play in the NFL. Yards predicted through a combination of feature engineering and selection, deep learning, ensemble modeling and Bayesian hyperparameter tuning.

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Portfolio Optimization & Predicting Stock Price

Predicting quarterly returns and generating efficient portfolios on user-selected stocks, through the use of Long Short Term Memory models and parallel processing.

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Automated Ad classification

Correctly classifying ads into appropriate categories on Craigslist, using text mining, text manipulation and Natural Language Processing.

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NBA Player Performance Prediction & Roster Generation

Predict player performance for the 2019-20 season, and recommend trades based on player positions, performance and user-entered budget cap.

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Financial Portfolio Management

A portfolio management dashboard built on RShiny for visualization, prediction and optimization of investor portfolios.

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Bankruptcy Prediction

Predict whether a firm goes bankrupt in the upcoming year based on historical data for 5 years, using ensemble modeling.

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Certifications

Skills