Rishabh Singh — Data Scientist & AI Engineer, IIT Madras
Data Scientist | AI Engineer | IIT Madras
I'm all about that magic!
Data Scientist with hands-on experience delivering end-to-end analytics solutions — from data wrangling and modeling to building dashboards, APIs, and deployable prototypes. Worked on forecasting, mixed-effects sizing, MMM, and time-series pipelines with stakeholder-ready insight delivery.
Strong in Python, SQL, Streamlit, Flask, Figma, and cloud exposure (Azure/AWS), with experience mentoring junior analysts and collaborating across Forecasting, Product, and I&A teams.
Featuring an interactive CI-vs-PI regression simulator and merged contributions to CPython, conda-build & librosa.
IIT Madras BS student? I've put together notes, resources & guidance from my own journey.
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About Me
I'm Rishabh Singh
Data Scientist & AI EngineerRishabh Singh is a Data Scientist and AI Engineer at Chryselys, building end-to-end analytics solutions — forecasting pipelines, mixed-effects models, Marketing Mix Modeling, and time-series systems with stakeholder-ready delivery. He graduated from IIT Madras with a B.S. in Data Science and Applications (2021–2025) and a Minor in Economics & Finance.
His open-source contributions include merged pull requests to CPython (Python's core interpreter), conda-build, and librosa — demonstrating systems-level Python expertise alongside applied ML work. Technical stack: Python, pandas, scikit-learn, Streamlit, Flask, FastAPI, SQL, Azure, AWS, Databricks, Dataiku, Redis, and MLOps. He has built and deployed full-stack ML applications including a live parking management system and an LLM YouTube metadata pipeline, and writes about AI and machine learning on Medium with 23 published technical articles.
- Degree:Data Science and Applications
- Location:Delhi, India
- Leadership:oneArena Flask / Machine Learning Trainer
- Competition:Rank-3 Codechef Competition
Skills
Languages
ML & Analytics
Frameworks & Tools
Cloud & Infra
Education
B.S. Data Science and Applications
Indian Institute of Technology, Madras (IITM)
CGPA: 7.89
Minor in Economics & Finance
Indian Institute of Technology, Madras (IITM)
Experience
ML Intern @ iNeuron.ai | Cybersecurity, ML Model
- •scikit-learn, restAPI, Azure
- •Predicts whether domains are real or malicious
- •Enhancing cyber-security.
- •Machine Learning.
Data Scientist @ Chryselys | Data Science & ML
- •Machine Learning and AWS
- •Insight-Driven Analysis
- •Product Development
- •APLD Data Expertise
Services
What I'm Doing?
Back-end Development
Specialized in architecting, developing, and deploying robust and scalable back-end systems using Flask and Django frameworks.
Machine Learning Apps
Proficient in creating interactive Machine Learning Applications and visualizations. Using scikit-learn, PyTorch and other famous ML Tools.
Research in Machine Learning
Passionate about exploring advanced topics and staying updated with the latest methodologies in Machine Learning research.
Self-learning
Self-learner in reading Machine/Deep Learning Research Paper for better understanding. Driven by curiosity to improve skills & know latest trends.
Mentorship and Guidance
Mentoring ML, dev & version control, empowering with guidance. Inspiring enthusiasts, sharing knowledge at Medium & Live Class.
Featured Projects
Projects
LLM YouTube Metadata Connector
End-to-end LLM pipeline using Claude Desktop + YouTube Data API v3 to automate SEO-optimised title & description writing, keyword tagging, and content optimisation for 500+ YouTube videos. Prompt engineering, deterministic validation, human-in-the-loop review.
Phishing Domain Detection
ML pipeline to classify URLs as legitimate or malicious using a Random Forest trained on URL, domain, page, and content features. Served via Flask REST API with Cassandra logging every prediction. Deployed to Azure during iNeuron ML internship.
Mixed-Effects Marketing Modeling
Hierarchical mixed-effects regression (LME) to quantify marketing campaign elasticity. Decomposed global vs. channel-level effects to support data-driven budget allocation and ROI optimisation using Marketing Mix Modeling.
Contributing to Major Python Ecosystem Projects
Open Source Contributions
Librosa
Documentation improvement fixing broken SciPy conference paper links
Awaiting stable SciPy proceedings URL
Writing on AI, ML & System Design
Blog
In a Minute
Dense, visual breakdowns of complex ML concepts — Transformers, SVMs, CNNs, Forecasting, Bayesian Learning & more. Built to understand the big picture in a single read.
Web Development
Practical web development — HTTP methods, CORS, lazy loading for UX, and Flask session-based authentication. All with working code examples.
Python
Python fundamentals, tools, and data science implementations — virtual environments, packaging, matrix operations, and performance deep dives.
Do You Have Any Questions?
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