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
Analyzed sales data using Python (Pandas, NumPy, Prophet) and SQL to identify trends and forecast sales for inventory/marketing optimization.
Performed time-series analysis and analyzed customer demographics/campaign effectiveness.
Provided actionable insights to optimize inventory management and marketing strategies.
Achieved a 10% reduction in excess inventory costs and a 5% increase in sales conversion rates.
Customer Plan Optimization and Feature Usage Analysis
Analyzed customer usage patterns with SQL and Python to optimize plan recommendations and predict plans for targeted marketing.
Developed and implemented K-means clustering and machine learning models (e.g., logistic regression) to predict optimal plans.
Visualized insights using Tableau/Power BI to inform data-driven decisions.
Contributed to a 15% reduction in customer churn and a 10% improvement in customer satisfaction scores.