About Adith Prabukumar

  • Are you open to working remotely? Yes
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    United States.
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About me

I have worked on Deep Learning models such as object detection during my undergrad. During my role as a Data Analyst at AINQA group, I created an NLP chatbot for hospitals, and have also contributed to data extraction and pipeline projects. Besides this, I have done several data visualization projects from structured data gathered from online sources.

Currently pursuing a Master’s Degree in Data Science at the University at Buffalo (expected graduation date: February 2023). I’m eager to learn more by taking on projects in the domain of Machine Learning.

Languages: Python, R, Golang, C

Big Data: AWS S3, AWS RedShift, Hadoop, Spark, Airflow, ETL, Google cloud Platform

Python Packages: Pandas, Numpy, TensorFlow, Pytorch,Pyspark, BERT, GPT-3

Data Science: Statistics, A/B Testing, Linear Algebra, Probability, Experimental design

Other: PostgreSQL, REST API, Selenium, Tableau, Git Bash, Ubuntu Shell Scripting

Education

  • 2021 - 2023
    University at Buffalo

    Masters Degree

    Master of Science in Data Science (MSDS) Cumulative GPA: 3.7/4.0 Expected Graduation: February 2023

  • 2017 - 2021
    Anna University

    Bachelors Degree

    Bachelor of Engineering Cumulative GPA: 3.52/4.0

Experience

  • 2021 - 2021
    AINQA GROUP

    Data Scientist

    Developed and Deployed an in-house ETL pipeline for data migration. Prototyped in python and version controlled in git helped save time by 2 months.

    Built applications and user forms in VBA allowing non-technical users to input data in Excel and send it to project databases for storage and analysis. Also enabled users to perform ad hoc modeling and calculation.

    Developed an RNN model to build a chat box, which was used to reply to customer queries, improving customer satisfaction by 38%.

  • 2020 - 2021
    Specrom Analystics

    Data Science Intern

    Developed an end-to-end pipeline that scrapes product reviews from Amazon.

    Scripted model on Amazon user reviews that indicates the probability that the user would purchase any other item from the same vendor.

    Scraped Walmart product reviews on watches to analyze purchase patterns and to understand the behavior of user feedback

Skills

Big Data c Data Science Git Bash Golang PostgreSQL python Python Packages R REST API Selenium Tableau Ubuntu Shell Scripting
 
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