Aniruddha Tapas

Experience

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  Mage Technologies

  Sept 2015 - Mar 2016

  Co-Founder

  • Built an Heads-Up-Display for automobiles which is able to provide analysed automobile data and assistance in steering. • Implemented the software in C++ and Python to analyze automobile data using On-board diagnostics.

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  AppliedProgramming.net

  Mar 2016 - Mar 2018

  Founder

  • Developed the website www.appliedprogramming.net to provide hands-on knowledge about implementing Machine Learning algorithms, Computer Vision and Natural Language Processing techniques, Artificial Intelligence Problems and building applications using different programming languages.• Released all my projects and source code with tutorial explanations on the website for users to learn and implement.

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  InfoCepts

  May 2016 - Aug 2016

  Data Analyst Intern

  • Received training on Data Warehousing, Database Management and Business Intelligence.• Led a team of 5 to craft a real-time dashboard for data analysis in the field of E-Commerce analysis titled ‘ECom-Meter' using MicroStrategy Business Intelligence tool and Microsoft SQL Server.• Being the group leader, collaborated with my teammates, assigned individual tasks, kept track of the deadlines and co-ordinated with the mentors on the progress of the project.

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  InfoCepts

  Jan 2017 - Apr 2017

  Data Analyst Intern

  • Attended the inaugural Tableau development training module at InfoCepts.• Built a BI dashboard as the final project titled ‘US Traffic Analysis’ using Tableau tool.• Designed web-scrapers to fetch and parse US transit data and analyzed traffic volume trends across different states

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  Northeastern University

  Jan 2018 - May 2018

  Graduate Research Assistant

  • Conducted research under the supervision of Prof. Haris Koutsopoulos for the Civil and Environmental Engineering department.• Built a visualization tool for the Hong Kong Mass Transit Railway system using D3.js library and Python for analysis of transit data.• Analyzed station crowding, link congestions, station accessibility, and Origin-Destination flows from the MTR data.• Developed interactive visualizations to help people in Hong Kong better understand the trains, how people use the trains, and how the people and trains interact with each other. Show less

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  Northeastern University

  Sept 2018 - Dec 2018

  Graduate Teaching Assistant

  Conducted lab sessions, code walkthroughs and doubt-clearing sessions for the course Program Design Paradigms at Khoury College of Computer Sciences, under the supervision of Prof. Amit Shesh

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  WarnerMedia

  Jan 2019 - Aug 2019

  Data Scientist Co-op

  Worked on multiple projects to help divisions like Warner Brothers, HBO and TNT/TBS gain audience insights and improve market reach. Some of the projects are described below:Survey - Interest Segment Optimization• Developed a survey-based propensity modelling tool to optimize WB campaigns towards audiences with predicted interest segments• Modelled relationship between latent representations of Facebook audiences and answers to strategic survey questions• Introduced segment-level cross-validation with probability-estimates calibration using Logistic Regression and Random Forests and performed respondent-level Monte Carlo simulation to construct confidence intervals around probability estimates• Identified and proposed measures to optimize survey costs by 30% based on the model evaluationTNT/TBS TV-Ratings Prediction• Developed a predictive model for TV ratings based on the media spend, show-reviews information and social media statistics• Improved the model's MAE by 6% to drive budget planning decisions and evaluate effects of lead-in and time-slot performance• Designed scrapers to poll ratings, page-views & cast popularity for feature-engineeringAuto-Trailer-Creator• Won internal hackathon with a team of 4 and a project that created a trailer from a feature-length film• Clustered significant frames using ensemble models that detect properties like scenes, celebrity faces and sound-peaksTwitter Ethnicity Inference• Rectified the legacy twitter-ethnicity-prediction tool with a 9% accuracy bump by training a character-level LSTM from scratchPySharePoint• Created an internal python library for programmatically accessing Microsoft SharePoint files to reduce incumbent manual effortYouTube-API-Scoping• Explored YouTube data for gaining market insights, clustering comments and analyzing video trailer featuresAmazon MTurk API• Built an R package on top of PyMTurkR to support MTurk API operations required in the internal survey workflow Show less

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  Northeastern University

  Sept 2019 - Dec 2019

  Graduate Teaching Assistant

  • Mentored a graduate class of 150 students for Program Design Paradigms in the Fall 2019 semester under the supervision of Prof. Amit Shesh• Conducted weekly lab sessions, code walkthroughs, assignment grading and doubt-clearing sessions for the graduate students

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  Northeastern University

  Mar 2020 - Aug 2020

  Research Associate

  Estimating behavioral responses to promotion-based public transport system for analyzing and improving demand management.

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  CCS Global Tech

  Feb 2021 - Mar 2022

  Data Analyst

  • Designed OLAP database systems for client law-firms to store and analyze historical data related to legal matters, finance, and billing• Replaced traditional data processing with integrated ETL pipeline to expedite data ingestion and detailed profiling for data quality• Utilized SSIS and SSAS to create packages for data profiling, validation and transformations to consolidate non-homogeneous data• Optimized advanced SQL queries to reduce processing time by 20% and migrated the on-premise systems to Azure cloud• Created PowerBI reports for quick insights delivery to cross-functional teams by evaluating KPIs that depict business growth Show less

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  Amazon

  Oct 2022 - now

  Software Engineer