Jessenth Ebenezer Sankar

Data Scientist | Engineer | Entrepreneur | Artist

Building AI-driven software to solve challenges in healthcare, media and business.

About Me

I am a multifaceted individual, currently pursuing my MS in Computer Science at New York University while juggling my passion for both tech and music. My experience spans from working with Indian and US-based startups to major industry players like TVS Motor Company.

As a music producer, I was the first Indian to land on the Spotify Top 50 Viral charts in 15+ countries, ultimately amassing over 50 million streams and 250 million impressions worldwide.

I am also a hobbyist game developer and filmmaker with over a decade of experience in Unity and other creative tools. Currently, my primary focus is on building Wunderkind Group, my startup, and its associated verticals in media and software.

Core Competencies

Data Analytics & AI

End-to-end ML pipelines, from data to deployment.

Scikit-learn PyTorch TensorFlow Hugging Face Polars Databricks ClickHouse MySQL

Software & Dev Tools

Web, game dev, and cloud ops. AZ-900 Certified.

Python Unity3D C# JavaScript Ren'Py Azure Git Jira Trello

Entrepreneurship & Product

Building and scaling ventures. Google PM Certified.

Product Management Operations A&R Market Research Business Analytics

Creative Media & Design

Audio, visual, and interactive art.

Music Production Sound Design Mix Engineering Game Design FL Studio Davinci Resolve Figma Blender

Featured Projects

Medvisor VR Surgical Planning

Medvisor - VR Surgical Planning

Bachelors Thesis (Patent Pending)

Developed an advanced medical visualization tool for surgical planning and patient education. Implemented Direct Volume Rendering, Raymarching, and MIP algorithms for high-fidelity MRI segmentation, achieving 90+ FPS on Meta Quest 2 with 2GB+ datasets.

Unity XR Toolkit Medical Viz Raymarching DICOM
Web Audio Plugin Suite

Comprehensive Web Audio Plugin Suite

Personal Project (Tech + Art)

Built a suite of browser-based audio tools, including a polyphonic subtractive synthesizer, a seed-based kick drum generator, a real-time slicing sampler, and a rule-based procedural sequencer for generative music.

JavaScript Web Audio API Tone.js DSP
NYC Accident Risk Prediction

Real-Time Accident Risk Prediction Using Spatiotemporal Data

Ongoing Research Project

Building a binary classification model to predict next-hour vehicle collision risk by zone, using 2M+ entries from NYC Open Data. Involves engineering 60+ spatiotemporal features (traffic, weather, crash density) and developing a Folium/GeoPandas heatmap.

Python Scikit-learn GeoPandas XGBoost
M.A.Z.E Runner VR Project

M.A.Z.E Runner: Behavioral Analysis on Spatial Cognition

Ongoing VR Project

Developing a VR Maze system for Meta Quest with 6 modes where users navigate via haptics and spatial audio. Collecting detailed behavioral metrics (time to first step, backtracking, collisions) to inform assistive XR design and HCI studies.

Unity VR HCI Spatial Audio Haptics
Assistive Navigation Cane

Assistive Navigation Cane for Visually Impaired Users

Group Project (CSE1901)

Built a prototype smart cane using Arduino, IR and Ultrasonic sensors. Integrated a companion Android app delivering real-time text-to-speech distance feedback with customizable thresholds. Conducted user testing to refine usability.

Arduino IoT Android Studio Text-to-Speech
Breast Cancer Detection ML

Comparative Analysis of ML Classifiers in Breast Cancer Detection

Research Project (UCI ML Repository)

Performed classification on the Wisconsin Diagnostic Dataset (UCI). Evaluated Logistic Regression, K-Nearest Neighbors, and SVM classifiers, achieving a peak accuracy of 96.5% in detecting malignancy from cell nuclei features.

Python Scikit-learn SVM Healthcare AI

Entrepreneurial Ventures

Founder

Wunderkind Group

Present

Currently building Wunderkind, a startup venture encompassing a record label, digital media house, and software development services, all built on a foundation of data-driven insights.

Co-Founder

Spectron Technologies

Jun 2016 - May 2018

Built by high-school teens working to build websites and digital transformation solutions to local communities and businesses in Chennai, India.

Professional Experience

Data Scientist I

TVS Motor Company Ltd.

Aug 2023 - Feb 2025 | Bangalore, IN

  • Developed ML pipelines for EV range prediction, achieving 95% accuracy using XGBoost.
  • Built real-time data ingestion pipelines for 7000+ connected vehicles using Kafka, ClickHouse, and Azure.
  • Designed a driver behavior analytics engine and scoring system from urban telemetry.

Operations Manager

Seiromem / Eonity Records

Aug 2020 - Apr 2022 | Verona, IT (Remote)

  • Managed discography catalogue and scheduling for a global roster of 17+ artists and 40+ releases.
  • Led A&R outreach, submission pipelines, and coordinated digital distribution and PR campaigns.
  • Oversaw social media scheduling, artist onboarding, and managed a team of 5.

Education

MS Computer Science

New York University

Aug 2025 - Present

B. Tech Computer Science

Vellore Institute of Technology

Jun 2019 - May 2023

Publication

Learning Analytics: Virtual Reality for Programming Course in Higher Education

Elsevier: Procedia Computer Science Journal

Jan 2020 | Cited by 45+