Umesh Babu Chithaluri
London,NWM
Summary
Data Scientist and Machine Learning Specialist with a Master’s in AI & Data Science. Proven expertise in building high-quality data applications, including Generative AI, Causal Inference Dashboards, and Churn Prediction models. Adept at ingesting data from multiple sources to drive supply chain optimization and customer segmentation.
Overview
2
2
years of professional experience
Work History
Teaching & Research Assistant
University of East London
10.2024 - 07.2025
- Subject Matter Expert in ML and AI, building real-time text/speech models and delivering workshops on ethical AI best practices.
- Managed classroom behavior effectively, creating a positive and focused learning environment for all students.
- Provided support to students with special needs, ensuring an inclusive and supportive learning environment.
- Developed curriculum materials for a variety of courses, enhancing the overall educational experience.
- Monitored student progress to identify weaknesses and provide recommendations for improvement.
- Assisted professors in conducting research projects, contributing to published articles and conference presentations.
Data Analyst Intern
Hirextra
01.2024 - 03.2025
- Leveraged SQL to manage structured datasets in the cloud and built data pipelines for emotional pattern prediction.
- Converted raw datasets into meaningful formats by performing extensive pre-processing activities such as normalization and transformation.
- Completed data cleaning and data validation of existing spreadsheets to promote robust data management platform, resulting in accurate data analysis and entry.
- Enhanced data visualization capabilities for better decision-making with the use of advanced BI tools.
- Conducted thorough data validation and cleanup, ensuring accuracy and reliability of datasets used for analysis.
- Developed custom algorithms to optimize and automate data analysis processes, resulting in improved efficiency.
- Monitored and controlled data upload, checking for successful data import and quality.
- Utilized various professional statistical techniques and maintained large databases to collect and analyze data from partners and customers.
- Optimized SQL queries for faster processing times, increasing overall productivity within the team.
Operational Foundation
Sainsbury's & H&T Pawnbrokers
10.2023 - 05.2024
- Analyzed stock/waste data to drive reductions in operational losses and ensured compliance with financial regulations.
- Proven ability to learn quickly and adapt to new situations.
- Skilled at working independently and collaboratively in a team environment.
- Worked well in a team setting, providing support and guidance.
- Passionate about learning and committed to continual improvement.
- Managed time efficiently in order to complete all tasks within deadlines.
- Worked effectively in fast-paced environments.
- Assisted with day-to-day operations, working efficiently and productively with all team members.
- Strengthened communication skills through regular interactions with others.
Education
MSc - Artificial Intelligence & Data Science
University of East London
London, United Kingdom01-2025
B.Tech - Mechanical Engineering
Vel Tech University
India01-2023
Skills
Data manipulation with SQL
Python programming
Data cleaning
Excel functions
Machine learning
ETL processes
Big data analytics
Predictive modeling
Natural language processing
Optimization techniques
Data screening
Deep learning
Time series analysis
Decision-making
KPI tracking
Market analysis
Data visualization and presentations
Adaptability
Selected Data Science Projects
Marketing A/B Testing Dashboard (Causal Decision Signal)
- Developed a Streamlit dashboard to analyze conversion lift and uncertainty, providing stakeholders with real-time decision signals for marketing spend., Implemented Data Quality checks including Sample Ratio Mismatch (SRM) using Chi-square tests to ensure experiment integrity and identify 'wrong variant' contamination., Visualized Incremental Profit per User via Bootstrap 95% Confidence Intervals, translating statistical p-values into clear business revenue metrics.
Customer Churn & Revenue Impact Simulation
- Engineered an end-to-end churn prediction pipeline using XGBoost to identify high-risk customers based on demographics and billing data., Performed Root Cause Analysis using SHAP explainability to identify top churn drivers (contract type and tenure), enabling targeted retention strategies., Simulated Revenue Savings to demonstrate the ROI of ML-driven targeting versus random campaigns, directly supporting strategic financial decision-making.
Financial Fraud & Anomaly Detection (Large Scale Data)
- Analyzed 1,000,000+ financial records to detect fraudulent patterns, benchmarking Random Forest against Clustering models., Executed Hyperparameter Tuning to achieve high-precision detection, focusing on model explainability and reducing false positives in sensitive banking data.
Hugging Face LLM: Personalized Information Summarizer
- Created a custom NLP agent using Hugging Face Transformers to ingest and tokenize large-scale movie and sports commentary datasets., Optimized for precision by training the model to generate concise, relevant summaries rather than verbose output, significantly improving information retrieval efficiency.
Fruit Quality Classification (MATLAB & Python)
- Developed a Computer Vision pipeline using MATLAB for image preprocessing (resizing/pixel normalization) to create a 'viable dataset'., Automated quality assessment using CNNs and Random Forest, reducing manual sorting waste and improving classification accuracy.
Timeline
Teaching & Research Assistant
University of East London
10.2024 - 07.2025
Data Analyst Intern
Hirextra
01.2024 - 03.2025
Operational Foundation
Sainsbury's & H&T Pawnbrokers
10.2023 - 05.2024
B.Tech - Mechanical Engineering
Vel Tech University
MSc - Artificial Intelligence & Data Science
University of East London