Madhu Siddharth Suthagar / Data Scientist
I develop scalable models that drive real-world impact.
As a Data Scientist, I design and build end-to-end data systems that turn large, complex datasets into actionable insights and predictive models. My work spans data engineering, exploratory analysis, and applied machine learning, with a focus on reliability and real-world impact. I enjoy uncovering patterns at scale, optimizing analytical workflows, and translating technical results into clear, decision-ready insights for both technical and non-technical stakeholders.
→ For analyst-focused roles, a tailored Data Analyst resume is available. View Data Analyst résumé
- 0M+
- Gaia DR3 stars rendered
- 0M+
- e-commerce events processed
- ~0K
- tweets classified & studied
- 0
- in-depth case studies
Things I've built
All 15 projects →End-to-end systems spanning data engineering, applied machine learning, and agentic AI. Hover a row for a preview — open it for the full field report.
- 01PulseTradeReal-time streaming · Agentic AIApache Kafka / Apache Airflow / Databricks
- 02Galaxy Explorer3D visualization · 557M+ starsPolars / Apache Spark / FastAPI
- 03Growth & RetentionExperimentation · 20M+ eventsPython / dbt / FastAPI
- 04Alzheimer's ProgressionMedical imaging · GANsPyTorch / Pandas / Matplotlib
- 05AI-counsellingMultimodal AI · WellbeingFastAPI / GCP / MongoDB
- 06Crypto Tweet ImpactEvent study · NLPR
The toolbox
Languages, frameworks, and platforms I reach for across the data and ML lifecycle — grouped by where they live in the stack.
Languages & Query
10
Python
R
C
C++
Java
SQL
PostgreSQL
JavaScript
HTML
CSS
ML / Data Science
12
Pandas
NumPy
PyTorch
TensorFlow
scikit-learn
Matplotlib
Plotly
OpenCV- NLP
- Time Series Analysis
- Agentic AI
LangChain
Data & Cloud Infra
8
Apache Airflow
Apache Kafka
Apache Spark
Docker
GCP
AWS
Snowflake
Databricks
Serving & BI
4
FastAPI
Streamlit
Tableau
Power BI
04 Next steps?
Don't be a Stranger!
Feel free to drop me an email if you believe we'd make a great team and would like to collaborate. Let's make our work together not only productive but also enjoyable!



