Guruprasad S
Bengaluru
Summary
Dynamic data scientist with a proven track record at Fractal Analytics, specializing in machine learning and risk management. Expert in Python and supply chain analytics, I enhanced conversion rates by 5% through predictive modeling. Passionate about leveraging data-driven insights to drive business success and optimize operational efficiency.
Overview
19
19
years of professional experience
1
1
Certification
Work History
Self Employed
04.2024 - Current
- Building LLM-powered agents using generative AI tools-LLM Apis such as GPT/Gemini, Agno for agent orchestration and Langchain tools for Retrieval Augmented Generation (RAG)
- Built an automated RAG pipeline with targeted prompt design, OpenAI/Hugging face embeddings, FAISS vector search, and SQLite-backed state tracking for fast, grounded retrieval.
- Integrated multi-agent workflow with function-calling tools, session state persistence, and Celery workers to automate the end-to-end agentic flow.
- Check out my GitHub repository - ai-agents/news_podcast_generator at main
- Guruprasad-S-stack/ai-agents
Head Data Scientist
Stantech AI
02.2023 - 03.2024
- Worked on Demand forecasting for a B2B chemical client
- Built Demand forecasting Machine Learning model for our clients where demand showed high elasticity and irregular seasonality to downstream commodity prices
- Engineered lagged commodity price, seasonality, volatility features to model elastic demand patterns, improving forecast stability and business planning accuracy.
- Improved forecasting led to better freight scheduling key to clients’ logistical costs
Senior Data Scientist
Fractal Analytics (Fractal.ai)
Bengaluru
10.2020 - 02.2023
- Built a predictive Machine Learning model to identify credit card customers likely to migrate to higher LTV segments using behavioral, transactional, and engagement features improving the conversion hit rate from 3-5% to 8-10%
- Engineered features from customer demographics, credit score, credit utilization, payment discipline, and spending behavior to capture upgrade potential.
- Labeled customer migration upwards or (Same/downwards) on historical transitions, reframed into binary classification problem. Applied tree-based methods (XGBoost) to estimate upgrade probabilities.
- Performed model validation using ROC-AUC, precision-recall analysis to assess predictive performance and business discriminative power.
- Implemented MLOps to productionize ML models via GitHub CI/CD pipeline with docker deployments on AWS SageMaker and EC2, integrating automated data pipelines for version control and model drift tracking.
- Worked on demand forecasting and inventory planning for a US based consumer packaging client using advanced optimization techniques
- Forecasted Demand using Machine Learning algorithms like XgBoost & benchmarked it against statistical time series models such as ARIMA improving MAPE by ~12%
- Designed inventory-planning algorithms optimizing trade-offs between holding, ordering, and shortage costs under service level, Capacity & MOQ constraints
Analytics Manager
HSBC
Bengaluru
11.2016 - 06.2019
- Designed predictive models for market risk metrics such as VaR and expected shortfall using ARIMA/ GARCH and Machine Learning (XgBoost)
- Implemented backtesting frameworks for regulatory validation, reducing false alerts in daily risk reporting by 15%, thus, freeing up liquidity by reducing internal capital allocation
- Collected and cleaned historical price, yield curve, and volatility data from Bloomberg/Reuters APIs.
- Engineered lag, rolling, and volatility-based features to capture temporal dependencies.
- Used ML models to predict short-term movements in risk factors.
- Conducted backtesting and stress tests to validate model performance under extreme conditions.
- Presented scenario analysis to risk committees to support portfolio risk mitigation strategies.
Quantitative Analyst
Moody’s Analytics Knowledge Services
Bengaluru
08.2015 - 11.2016
- Developed and validated VaR forecasting models for Equity and FX portfolios using time series improving accuracy and stability of daily risk reporting.
- Applied ARIMA based model to capture tail risk, enhancing short-term VaR forecast accuracy by ~18–22%.
- Automated back testing and stress-testing framework, cutting manual reporting effort and improving timeliness of risk insights for trading desk
Associate
Nomura Service India Pvt. Ltd
Mumbai
02.2015 - 07.2015
- Supported credit risk and regulatory compliance activities under IFRS 9 and EU regulatory frameworks for a global banking client.
- Assisted in preparation and validation of credit risk reports and impairment summaries.
- Ensured data accuracy and compliance with internal risk policies and regulatory timelines.
System Analyst (Software developer)
National Stock Exchange of India
Mumbai
11.2006 - 03.2011
- Helped develop the currency derivatives market risk management for the then newly introduced Currency derivative segment in the National Stock Exchange
- Built the historical VaR (Value At risk) using the Black-Scholes model to calculate real time trading margins for the trading members of the stock exchange
Education
Master of Business Administration - Finance
Purdue University
West Lafayette, IN, United States05.2014
Bachelor Of Engineering - Computer Science
Mumbai University
Mumbai, India05.2006
Skills
- Python
- Microsoft Excel/VBA
- Power BI/SQL
- Machine learning/PyTorch
- Financial Statement Analysis & Forecasting
- Supply Chain Analytics
- Risk management
Certification
- CFA Level 1, 06/01/12, Present
- National Institute for Security Markets -NISM Level 2, 04/01/11, 04/30/16
- Machine Learning with Python -Coursera, 02/01/21, Present
- Feature Engineering with Google Cloud, 02/01/21, Present
- Natural Language Processing in TensorFlow, 02/01/21, Present
Timeline
Self Employed
04.2024 - Current
Head Data Scientist
Stantech AI
02.2023 - 03.2024
Senior Data Scientist
Fractal Analytics (Fractal.ai)
10.2020 - 02.2023
Analytics Manager
HSBC
11.2016 - 06.2019
Quantitative Analyst
Moody’s Analytics Knowledge Services
08.2015 - 11.2016
Associate
Nomura Service India Pvt. Ltd
02.2015 - 07.2015
System Analyst (Software developer)
National Stock Exchange of India
11.2006 - 03.2011
Master of Business Administration - Finance
Purdue University
Bachelor Of Engineering - Computer Science
Mumbai University