Bhanu Pratap Singh

Deployed end-to-end Azure and Databricks pipelines for large-scale data ingestion, transformation, and modeling, improving data accuracy by 8% and optimizing process efficiency across enterprise teams.

Pioneered diagnostic models using statistical analysis, identifying and resolving three critical data integrity issues in sales forecasting, increasing overall forecasting accuracy by 8%.

Improved LLM and RAG pipelines through optimized chunking and vector store retrieval, boosting response relevance by 22%.

Deployed scalable FastAPI microservices for automated data processing, reducing manual workload by 40%.

Utilized MLflow and Fabric to track experiments, version models, and support rapid iteration for new product features.

Utilized SQL, Excel, and Python to analyze customer data, identifying key marketing and revenue opportunities.

Developed segmentation and scoring models, significantly improving user targeting strategies.

Cleaned data, engineered features, and generated comprehensive KPI reports, providing actionable insights for business teams.

Mentored over 300 students in Python, Machine Learning, and Data Analysis, significantly enhancing their understanding and practical skills.

Developed and delivered comprehensive learning modules, improving student engagement and knowledge retention.

Provided personalized guidance and support, contributing to the academic success and career readiness of mentees.

Organized and executed data and AI workshops, hackathons, and technical events, engaging over 1000 participants.

Managed logistics and coordination for multiple large-scale technical events, ensuring seamless execution and positive participant experience.

Collaborated with various college clubs and external partners to secure resources and promote events, expanding reach and impact.