Experienced Data Scientist with an MS in Data Science from Pace University, proficient in statistical analysis, machine learning, and data visualization. Skilled in Python, R, SQL, and diverse data science technologies, …
Experienced Data Scientist with an MS in Data Science from Pace University, proficient in statistical analysis, machine learning, and data visualization. Skilled in Python, R, SQL, and diverse data science technologies, including deep learning and AI. Demonstrated success at Speedoz Ltd. in leveraging predictive modeling, data wrangling, and advanced analytics to fuel business growth, enhance operational efficiency, and deliver actionable insights. Committed to pioneering algorithmic advancements and tackling intricate data processing challenges to push the boundaries of data science.
• Conducted product research and targeted marketing leading to a 20% increase in sales for the Keeway motorcycle within six months.
• Developed a customer recommendation system enhancing target marketing strategies and boosting conversion rates by 15%.
• Built a model that helped the company identify which products are performing better in which region.
• Prepared growth and sales chart to help business development team derive insights from sales data.
• Built dashboards of expenditure, sales, reviews, and website visitation.
• Optimized real-time fraud detection with machine learning reducing fraud incidents by 35% and enhancing overall business security.
• Executed a comprehensive analytics pipeline from data extraction to visualization improving stakeholder reporting and decision-making
processes.
• Applied predictive modeling to forecast trends and anomalies informing strategic product positioning and market analysis.
• Developed and validated sophisticated algorithms for pattern recognition contributing to the company’s data-driven strategy in product
development and regional sales performance.
Conducted product research and targeted marketing leading to a 20% increase in sales for the Keeway motorcycle within six months.
Developed a customer recommendation system enhancing target marketing strategies and boosting conversion rates by 15%.
Optimized real-time fraud detection with machine learning reducing fraud incidents by 35% and enhancing overall business security.
Built a model that helped the company identify which products are performing better in which region.
Prepared growth and sales chart to help business development team derive insights from sales data.
Built dashboards of expenditure, sales, reviews, and website visitation.
Executed a comprehensive analytics pipeline from data extraction to visualization improving stakeholder reporting and decision-making processes.
Applied predictive modeling to forecast trends and anomalies informing strategic product positioning and market analysis.
Developed and validated sophisticated algorithms for pattern recognition contributing to the company’s data-driven strategy in product development and regional sales performance.
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