👋 Welcome! I'm Sai Lalith Sistla, a Data Scientist and AI/ML Engineer passionate about solving real-world challenges with Machine Learning, Generative AI, and Data Engineering.
I specialize in building full-stack AI solutions that deliver practical and scalable business impact.
- 🎓 Education: Master’s in Data Science, Liverpool John Moores University (LJMU), UK
- 💼 Current Role: Data Scientist | Supply Chain Division | Focused on Data Analytics, ML, Process Optimization, and AI-driven Insights
- 🧠 Interests: Anomaly Detection | Generative AI | Data Distribution Analysis
- 🤝 Open to Collaborations: Model Building | Generative AI Applications | Public Dataset Challenges
- From GenAI to AI-Agents
- MLOps (Experiment Tracking, Model Validation, Deployment Automation)
- Data Science Notes & Notebooks
- includes POC on Hypothesis testing
- includes POC on AutoML
- RFM & Advanced RFM Techniques
- Demand Forecasting
- Promotion and Pricing strategy
Traditional ML Model building
- Lead-Score-Prediction | Logistic regression
- Bike Sharing | Linear regresion
- House Rent | Advanced Regression
- Telecom churn | Feature selection, PCA, Regression
- Stock price prediction | Time Series
Specialisation :- Deeplearning
- Telecom churn | Deep Learning
- Gesture recognition | Deep Learning
- Style Transfer using GANS
Thesis submited for as part of my thesis at LJMU
- PREPROCESSING-TECHNIQUES-FOR-OBFUSCATION-IDENTIFICATION (WIP : Public Repo-Clone of Code used to sypport my thesis.)
- AITAH-gender-bias
(WIP) Influence of gender in being an A$$ H0l3. - Video Processing Automation WIP - Idea phase: a GPU-accelerated script to detect and categorize video clips from an SMB server. helps me sort & delete duplicate clips of video
- Develop a Signature Project
Build a flagship project, showcasing expertise in data engineering, predictive modeling and generative AI. - Publish Research
Submit a research paper to a top-tier journal or conference on a topic like anomaly detection or data distribution dynamics.
Last updated: April 2025