About Me
Data Scientist/Analyst with a strong foundation in statistical analysis, machine learning, and data manipulation developed through a Master of Science in Data Science and hands-on projects. Proven ability to extract acti…
Data Scientist/Analyst with a strong foundation in statistical analysis, machine learning, and data manipulation developed through a Master of Science in Data Science and hands-on projects. Proven ability to extract actionable insights from complex datasets, driving impactful results in project settings. Expertise in developing and implementing data-driven solutions in e-commerce and telecommunications domains. Proficient in Python, SQL, and data visualization tools, with excellent communication skills to effectively convey technical findings.
Experience
Sales Data Analysis and Forecasting for Inventory Optimization
<p>Analyzed sales data using Python (Pandas, NumPy, Prophet) and SQL to identify trends and forecast sales for inventory/marketing optimization.<br>
Performed time-series analysis and analyzed customer demographics/campaign effectiveness.<br>
Provided actionable insights to optimize inventory management and marketing strategies.<br>
Achieved a 10% reduction in excess inventory costs and a 5% increase in sales conversion rates.</p>
Customer Plan Optimization and Feature Usage Analysis
<p>Analyzed customer usage patterns with SQL and Python to optimize plan recommendations and predict plans for targeted marketing.<br>
Developed and implemented K-means clustering and machine learning models (e.g., logistic regression) to predict optimal plans.<br>
Visualized insights using Tableau/Power BI to inform data-driven decisions.<br>
Contributed to a 15% reduction in customer churn and a 10% improvement in customer satisfaction scores.</p>