I’m a data scientist and machine learning engineer with a strong foundation in statistics, optimization, and applied AI, focused on building production-ready ML systems and quantitative models.
My work spans end-to-end ML pipelines — data engineering → modeling → evaluation → deployment — with special interest in AI + finance, alternative data, and intelligent decision platforms.
FortuneFlow is an AI-driven personal finance and investment planning platform focused on helping people:
- build healthy financial habits early,
- avoid high-interest debt traps,
- maintain a safety net, and
- make smarter, long-term investment decisions.
Current focus areas
- Personal finance insights + goal-based planning
- Clean UX dashboards and decision flows
- Scalable backend + analytics foundations
➡️ Website: https://fortuneflow.net/
Machine Learning & AI
- Supervised / Unsupervised Learning, Deep Learning (CNNs/Transformers)
- NLP (NER, Relation Extraction, Embeddings), Multi-Task Learning
- Model evaluation, interpretability (SHAP), experiment tracking
Data & Systems
- ETL pipelines, feature stores (concepts), APIs (FastAPI/Django)
- Docker, CI/CD patterns, cloud ML workflows (Vertex AI / AWS / Azure)
Quant & Finance
- Time series modeling, optimization, strategy research & backtesting
- Alternative data signals, risk-aware evaluation
🔹 Gold Trading Strategy
Quantitative research project evaluating multiple gold trading strategies using Google Trends (PyTrends), technical indicators (RSI, MACD, Bollinger Bands, SMA/EMA), and hybrid approaches. Includes signal generation, backtesting, and comparative performance analysis.
🔹 Multi-BioNER (Multi-Task Learning)
A multi-task learning framework for Biomedical Named Entity Recognition (BioNER), leveraging shared representations and cross-task knowledge transfer to improve entity recognition performance across biomedical datasets.
🔹 Recommender System
End-to-end recommender system implementation in Python, focusing on user–item interactions, similarity metrics, and ranking logic. Designed to demonstrate core recommendation algorithms and evaluation strategies.
🔹 Alpha Research
Exploratory quantitative research repository focused on alpha signal discovery, statistical analysis, and experimental trading ideas using market and alternative data.
🔹 Banking GenAI Assistant
A generative AI–powered assistant for banking and financial use cases, showcasing LLM integration, prompt engineering, and practical applications of GenAI in finance.
- LinkedIn: https://www.linkedin.com/in/ronit-gandhi-5a65941aa/
- Portfolio: https://ronitgandhi.com/
- FortuneFlow: https://fortuneflow.net/
⭐ If you find my work useful, feel free to star a repo — it helps!