Waleed Imran Hashmi

Contributed to a pan-European Informix-to-Snowflake Data Vault migration across 9 countries: refactored reconciliation pipelines (days→minutes via PySpark), standardized 100+ dbt transformation models, built distributed data quality testing, flagged and resolved pre-production logic flaws, and developed Power BI/Streamlit dashboards for cross-regional quality tracking.

Built end-to-end ML pipelines for an EU Telecom client (feature engineering, training, production scoring), driving €2M+/month in revenue optimization. Engineered Bayesian models with Python transformation pipelines, achieving 10% revenue lift vs. 6.5% target. Built Power BI dashboards for KPI monitoring and led a 4-person team as the DS-to-business liaison.

Built feature engineering and real-time AI scoring pipelines over large-scale time-series data for customer intent prediction and agent-pairing optimization. Maintained production ML systems via root cause analysis on failures and model drift. Automated ingestion, transformation, and reporting workflows in Python, reducing manual overhead.

Focus: Data Science Relevant Coursework: • Artificial Intelligence, Machine Learning, Data Science, Data Mining, Deep Learning, Computer Vision, Speech Processing • Advanced Programming, Data Structures, Algorithms, Databases, Software Engineering