Hi there, I'm

Sanjan Vijayakumar

Data Scientist
About me
Sanjan Vijayakumar
About Me
Hi, I’m Sanjan!
I’m a Data Scientist pursuing my Master’s degree in Data Science at Northeastern University, Boston.

I’ve worked as a Data Science Intern at LabCorp and a Data Science co-op at eMotionRx, Inc.
I’m extremely interested in turning concepts of Data Science and Machine Learning into meaningful insights, especially in the field of healthcare.

RESUME

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Skills
Python
SQL
Machine Learning/Deep Learning
AWS
Google Cloud Platform
Experience

  1. LabCorp - Data Science Intern

    May 2021 - August 2021
    • Created an installable data-platform package reducing data pre-processing time by 40%.
    • Built and deployed a recommendation system to recommend tests to users.
    • Devised a framework for storage and retrieval of test reference ranges in AWS.

  2. eMotionRx - Data Science co-op

    May 2020 - Dec 2020
    • Orchestrated the migration of on-prem sensor data onto Google Cloud Platform.
    • Streamlined ETL jobs using Cloud Dataproc reducing pre-processing runtime by 30%.
    • Designed a random forest model with 94% accuracy for pressure distribution on a sole.

  3. VI-Solutions - Data Science Intern

    June 2018 - Sept 2018
    • Accelerated run-time on an Object detection application by 30% using OpenCV.
    • Deployed an image classification model using ImageNet with 87% accuracy.
LabCorp - Data Science Intern
May 2021 - August 2021
  • Created an installable data-platform package reducing data pre-processing time by 40%.
  • Built and deployed a recommendation system to recommend tests to users.
  • Devised a framework for storage and retrieval of test reference ranges in AWS.
eMotionRx - Data Science co-op
May 2020 - Dec 2020
  • Orchestrated the migration of on-prem sensor data onto Google Cloud Platform.
  • Streamlined ETL jobs using Cloud Dataproc reducing pre-processing runtime by 30%.
  • Designed a random forest model with 94% accuracy for pressure distribution on a sole.
VI-Solutions - Data Science Intern
June 2018 - Sept 2018
  • Accelerated run-time on an Object detection application by 30% using OpenCV.
  • Deployed an image classification model using ImageNet with 87% accuracy.
Education
  • Master of Science - Data Science
    Northeastern University
    2019 - 2021
  • Bachelor of Engineering - Electronics and Communication
    Visvesvaraya Technological University
    2015 - 2019
Projects
Attention based image captioning system

Attention based image captioning system

An image caption generator that uses a local attention model on top of a VGG-16 model as an application of NLP and deep learning

Yelp restaurant business analysis

Yelp restaurant business analysis

A project which aims at gaining insights and helping restaurants objectively interpret their reviews.

Energy consumption time-series forecasting

Energy consumption time-series forecasting

A project to predict energy consumption in buildings with time-series hourly meter readings for one year.

CycleGANs

CycleGANs

A project to understand the operation of CycleGANs with a few examples.

Achievements

Semi-finalist - EY Data Science challenge 2021

Selected in the top 8 teams for the 2021 Better working world data challenge by EY.

Breast cancer classification using data mining

Published a paper with IJRES on breast cancer classification techniques.

Sequential and parallel Alpha-Beta pruning algorithm

Published a paper on the working of the Alpha-Beta pruning algorithm.

Northeastern cricket club sports

Captained the Northeastern Cricket team in various regional and national tournaments in the US.
Get In Touch
My inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!
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