Musa Dildar Ahmed Cheema

Tech Business Management Consultant

• Providing tech business management consulting as a personal venture.
• Working on strategic initiatives for a Fortune 10 company.

Professional Data Scientist

• Worked on AI ASK SQL Model training and SQL generation.
• Developed Agentic inDB Workflow Generation.
• Benchmarked Teradata VectorStore and generated inDB ONNX Embeddings.
• Implemented inDB Intent Classification and Multi-Entity Tagging.

Graduate Associate Data Science

• Outstanding performance on the Wells Fargo project led to double promotion.
• Developed a SQLMR function to tokenize input text into meaningful n-grams, enhancing sentiment analysis, topic identification, and document classification.
• Engineered a function for precise text tagging and improved NLP outcomes.
• Developed TD_GenAI functions for advanced text analytics within Teradata.
• Implemented an in-database BYO-LLM solution and a system to convert unstructured data into JSON.
• Initiated projects for in-database training (BYOM-LLM) and a parallel Torch NN-like library for ANN/CNN inference.
• Worked on a Document QA system and defect detection (Wafer in DB) using ML and extensive feature engineering.

Data Scientist (Part-time)

• Developed data visualization dashboards for the admin portal to bolster data-driven decision-making.
• Created an automated data pipeline for the Payment & Services division, reducing manual processing time by 80%.

Research Assistant

• Developed ViLanOCR – a state-of-the-art method for extracting handwritten bilingual text from medical prescriptions.
• Addressed challenges in extracting handwritten Urdu by leveraging advanced ML techniques.

Research Assistant (Part-time)

• Contributed to a NCAI-funded project to re-design e-recruitment using AI for temporal analysis.
• Developed a novel resume ranking algorithm and optimized real-time entity enrichment from resumes.