Kaif Ansari

Data Scientist

• Job Details:Engineered python-based data pipelines to process 100k+ row datasets from excel and APIs, ensuring 99% accuracy for downstream reporting. Built real-time dashboards in Tableau, Looker Studio, and Power BI, improving executive decision-making by 25% with sales and performance insights. Developed classification models using scikit-learn and pandas in Google Colab, increasing customer retention forecast accuracy by 20%. Automated data workflows, saving 10+ hours weekly and reducing reporting errors by 4%. Analyzed vendor performance data with statistical methods, optimizing lead assignments and boosting operational efficiency by 30%. Tested dashboard-supporting web applications, resolving 100+ bugs to maintain 99.5% data accuracy. Collaborated with engineering teams to integrate pipelines, enabling standardized reporting across 5 departments. Designed 10+ live dashboards in Tableau, Looker Studio, and Power BI, boosting decision-making efficiency by 25% across 3 departments. Automated data collection and cleaning, cutting manual effort by 10+ hours weekly and accelerating analysis by 40%. Resolved 100+ bugs via systematic web app testing, improving system uptime from 92% to 99.5%. Optimized lead assignment with algorithms, increasing operational efficiency by 30%. Boosted predictive model accuracy by 20% using machine learning and statistical methods. Introduced automated reporting systems, slashing manual tracking by 70% and enhancing team data access.