Aman Yevge

Built and maintained data ingestion and validation pipelines using Talend, DBeaver, and PostgreSQL to ensure data accuracy and integrity across multiple business units — including compliance, demand, supply, and employee reporting. Developed Power BI dashboards with optimised data workflows, cutting reporting time by 67% and enabling faster, data-driven business decisions across multiple stakeholders. Automated end-to-end reporting processes using SQL and Excel for complex data extraction and analysis, wi

Performed in-depth data analysis using statistical techniques and data mining methods to extract actionable insights on user behaviour and engagement patterns. Designed and tested recommender systems using both collaborative and content-based filtering approaches, improving product relevance and personalisation for users. Developed cohort analysis and interactive Tableau dashboards to track user retention, visualise trends, and support data-driven decision-making across the team.

Engineered machine learning solutions across 5+ business problem statements in Python, applying both supervised and unsupervised techniques including Decision Trees, Random Forest, K-Means, and Apriori to segment data and uncover meaningful patterns. Conducted rigorous data cleaning and preprocessing using Pandas and R, ensuring high-quality inputs for modelling and statistical analysis across diverse datasets.