Taha Baxamusa

Detail-oriented team player with strong organizational skills. Proven ability to effectively manage and prioritize multiple projects simultaneously, ensuring a high degree of accuracy in all tasks. Adept at collaborating with cross-functional teams to achieve common goals and deliver exceptional results. Committed to continuous improvement and staying up-to-date with industry trends and best practices.

• Completed an extensive course on MySQL and Python, focusing on data manipulation, data definition by IBM.
• Achieved certification in Python, demonstrating proficiency in scripting, automation, and data analysis.
• Played an active role in organizing university-level events, including Orators competitions and football tournaments, enhancing teamwork and leadership skills, at NMIMS University.

Profitable App Profiles for the App Store and Google Play Markets, 06/2023, 08/2023

Market Analysis: Conducted a thorough analysis of the App Store and Google Play markets to identify profitable app profiles. 

Data Collection and Cleaning: Utilized Python to collect and clean data from various sources, ensuring accuracy and reliability. 

Model Development: Developed predictive models to identify factors contributing to app success, using regression analysis and machine learning techniques, improving app success rate predictions by 30%.

Insights and Recommendations: Provided actionable insights and recommendations to optimize app development and marketing strategies, resulting in a 20% increase in app profitability.

Data Visualization on Agriculture, 02/2023, 05/2023 

Trend Prediction: Developed a data-driven solution to predict future trends and optimize decision-making in the agriculture industry. 

Advanced Tableau Features: Employed advanced Tableau features to perform data analysis, including trend analysis, correlation studies, and predictive modeling. 

Interactive Dashboards: Created dynamic and interactive dashboards and visualizations to convey insights effectively, increasing user engagement by 40%. 

Real-world Problem Solving: Successfully addressed complex challenges in agriculture, demonstrating the ability to solve real-world problems through data analysis and visualization. 

Reducing Order Processing Time for AJIO, 02/2023, 05/2023 

Process Improvement: Conducted a thorough analysis of order fulfillment processes, implementing Lean and Six Sigma methodologies to reduce order processing delays by 40%.

Efficiency Enhancement: Applied DMAIC tools and Lean principles to eliminate non-value-added steps, improving overall process efficiency by 35%.