SarthakJindal.
CS Student · Data Scientist · Future ML Engineer
Building intelligent systems that actually do something useful — from AI agents that answer questions to models that predict markets.
The person behind the projects.
I'm Sarthak — a third-year Computer Science student at Toronto Metropolitan University who got hooked on AI the moment a model I trained actually worked. That was it. No going back.
I build things at the intersection of data, machine learning, and real-world problems. Whether it's an AI agent that turns plain English into SQL, a churn predictor that helps businesses hold onto their customers, or a pipeline that survived genuinely terrible real estate data — I care about making models that ship, not just models that score well on paper.
When I'm not building, I'm learning. Currently down a rabbit hole of RAG systems, AI agents, and what it actually takes to deploy ML that doesn't fall apart in production. Based in Toronto. Dean's List. Perpetually curious.
Experience
Data Science Intern
June – August 2025 · Remote
- Built an end-to-end real estate price prediction pipeline using XGBoost with GridSearchCV hyperparameter tuning, achieving R² = 0.77 and measurable MAE improvements through geospatial feature engineering.
- Designed a robust preprocessing and validation pipeline in Python (pandas, scikit-learn) handling missing values, outliers, categorical encoding, and automated data leakage prevention.
- Benchmarked and evaluated regression models (XGBoost, ElasticNet, Dummy Regressor) using MAE, RMSE, and R² with repeated k-fold cross-validation to support data-driven model selection.
Projects
AI Agent for Data Analytics
Conversational AI agent that queries databases, generates Python code, and delivers insights via natural language.
View on GitHub
Customer Churn Predictor
End-to-end ML pipeline predicting customer churn with Random Forest, served via FastAPI.
View on GitHub
ServicePulse: Toronto 311 Analytics
City-scale analytics dashboard analyzing 400k+ Toronto 311 service requests by ward and response time.
View on GitHubSkills & Tools
The technologies I use to build data pipelines, analyze complex datasets, and deploy modern applications.
Languages
ML & Data Science
Frameworks
Databases & BI
DevOps & Tools
What I'm Exploring
Curiosity drives everything.
NLP
Extracting meaning and structure from raw text data.
Deep Learning
Training multi-layered networks to solve complex problems.
Neural Networks
Architecting models inspired by biological systems.
Cloud Computing
Deploying and scaling applications globally.
MLFlow
Tracking ML experiments and managing model lifecycles.
AI Agents
Building autonomous systems that execute tasks.
RAG Systems
Augmenting generation with external knowledge retrieval.
Reinforcement Learning
Teaching agents through reward-driven environments.
Leadership & Extracurriculars
Building community beyond the classroom.
Social Media Manager
PACS Club, TMU · July 2024 – June 2025
- ●Crafted and executed strategic social media content plans for the club.
- ●Managed online community engagement and analyzed performance metrics.
- ●Increased awareness and participation within the university community.
Volunteer
UofT Hacks · January 2026
- ●Supported event operations and participant coordination at a large-scale hackathon.
- ●Ensured smooth logistics and a positive experience for hackers and sponsors.
Community Ambassador
TMU Basketball Society · Fall 2024
- ●Spread awareness about the club across the university community.
- ●Actively organized engaging and fun events with the team throughout the semester.
Orientation Crew Member
TMU SLLC · August 2024
- ●Guided new students during campus tours to familiarize them with university resources.
- ●Supported the organization of orientation events to create a welcoming atmosphere.
- ●Addressed student inquiries to ensure a smooth first-year transition.
Let's build something great.
Open to internships, research, and collaboration.