ML · AI · Data Science · FOSS
GGSIPU · IIT Guwahati
Tooshar Avatar

Based in Noida, India  /  Open to collabs

Walking
Dead

Turning data into meaning, and imagination into intelligent systems. A relentless learner — undergrad aspiring to be a Data Scientist & ML Engineer.

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01 — About
Tooshar
aka WalkingDead

I'm someone who loves turning data into meaningful insights and imagination into intelligent systems. Currently pursuing B.Tech in CSE from GGSIPU and B.Sc (Hons.) in DSAI from IIT Guwahati.

I've grown increasingly fascinated by the way Machine Learning and AI shape the world around us. I enjoy exploring how data-driven systems transform industries and enhance decision-making.

I thrive in environments that encourage experimentation, innovation, and collaborative problem-solving. Motivated by curiosity, creativity, and real-world impact.

Machine Learning Deep Learning Data Analytics Predictive Modelling AI Systems Automation FOSS
Google Developer Groups Role

GDG Tech Associate

Club Membership

Member @ The FOSS Club

Primary Degree
B.Tech CSE — GGSIPU
Secondary Degree
B.Sc DSAI — IIT Guwahati
Focus Areas
ML · AI · Data Science · FOSS
Currently Into
Unsupervised Learning & New Languages
02 — Projects
001
Livabl
A Data-Driven Quality of Life Index for Smarter Home Decisions.
React + TypeScript Python + FastAPI OpenStreetMap
002
Password Manager
A password manager with ML integration (work in progress TwT).
Python MySQL Pyotp
003
Sudoku
Well... it's a Sudoku. Built it, loved it.
Python Tkinter
004
Ridepool
A ride-pooling mobile app for sharing rides and splitting transport costs.
Flutter Firebase C
03 — Events
18th January 2026
Open Community Call
Hosted an Open Community Call on Machine Learning, simplifying core concepts and creating an engaging space for beginners. Led a session under The FOSS Club covering ML basics, supervised learning, and linear regression, along with discussions on Linux, AI, and game development.
28-29th March 2026
FOSS Hack 2026
Built LivaBl-—an open-source platform to simplify locality decisions using data-driven insights. We aggregated urban datasets to create a 0–100 Quality of Life score for every ward.
25th January 2026
GDG BoB
Volunteer
04 — Contact
Let's build something
meaningful.