Skilled in data analysis, visualization, and process optimization, with expertise in tools like SQL, Python, Power BI, and Excel. Adept at delivering actionable insights, identifying business needs, and driving strategic decisions to improve efficiency and performance. Passionate about leveraging data to create value for organizations.
Customer Segmentation
Aim: To segment customers based on their purchasing behavior using clustering techniques, enabling personalized marketing strategies and improving customer retention.
Outcome: Successfully identified distinct customer segments, which helped in creating targeted campaign.
Attrition Classification
Aim: To predict employee attrition using Machine Learning
Skills/Tools: Data cleaning | Data Pre-Processing | EDA | ML | NumPy | Pandas | Data Preparation | Matplotlib | Seaborn | Statistical Analysis
Power BI & Data Analytics Implementation
Responsibilities: Delivered comprehensive sessions on Power BI and Advanced Excel to BBA/BCom students and faculty members.
Covered key areas such as data transformation, modelling, and visualization.