Data Scientist

Collected and analyzed over 10,000+ product and pricing data points from various marketplace platforms to support strategic planning. Conducted web scraping that increased data acquisition efficiency by 40%, enabling faster competitor and market analysis. Created data visualizations that improved stakeholder understanding of market trends by 60%, leading to more informed product decisions. Generated insights that contributed to a 15% improvement in product positioning and pricing strategies across target segments. Developed predictive models with an initial accuracy rate of 85%, forecasting demand patterns and customer preferences. Collaborated with marketing and product teams, resulting in a 20% boost in campaign targeting effectiveness through data-informed adjustments.

Built automated data pipelines using Python & SQL, improving reporting efficiency by 35% and reducing manual data processing time. Conducted in-depth exploratory analysis that identified hidden trends and anomalies, contributing to a 12% improvement in business process optimization. Collaborated with cross-functional teams (Product, Marketing, Engineering) to align data requirements and ensure data accuracy, resulting in a 25% reduction in reporting errors. Built predictive analytics models (regression / time-series) with initial accuracy of 80%+, used for forecasting sales, customer growth, and market demand. Delivered data-driven recommendations that enhanced campaign effectiveness and increased ROI by 18% across multiple marketing initiatives.

Improved business process efficiency by identifying bottlenecks, increasing production efficiency by 30%. Implemented quality standards and testing procedures, reducing product defects by 25% within a year. Developed performance metrics and conducted in-depth analysis to drive process improvements. Applied Six Sigma and Total Quality Management (TQM) to reduce operational costs and enhance efficiency by 20% using MySQL.

Managed and optimized inventory, reducing excess stock by 20% while ensuring operational needs. Improved production planning efficiency, increasing process smoothness by 95%. Developed an automated inventory monitoring system, minimizing stock counting errors. Coordinated with teams and suppliers, reducing lead times by 15%.

Managed daily financial transactions, ensuring 98% accuracy in monthly reports. Optimized financial document filing, improving search efficiency by 40% through digitalization. Prepared and analyzed cash flow, income, and expense reports. Verified and reconciled branch financial reports for compliance with company standards.

Created detailed reports per city and region, improving data accuracy by 35%. Reported directly on collection and drop point issues, reducing issue resolution time by 40%. Generated monthly performance and data reports, enhancing managerial decision-making efficiency by 30%. Handled daily data entry tasks for multiple cities, increasing processing accuracy by 98%.

Prepared comprehensive data recaps for tender submissions, improving submission accuracy by 95%. Collaborated with internal teams and governmental entities, streamlining documentation processes by 50%. Drafted and managed budgets using MS Office and Google Sheets, optimizing financial planning by 20%. Developed and maintained daily reports for inventory tracking, reducing discrepancies by 40%. Managed financial data recording and prepared reports, increasing reporting efficiency by 25%. Ensured all data requirements were met, maintaining compliance and reducing administrative errors by 30%.