Churn Analysis Project – Banking Sector
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Summary
Developed and validated churn prediction models for the banking sector, achieving high accuracy and precision in identifying at-risk customers to inform retention strategies.
Highly analytical MBA graduate specializing in Business Analytics and Marketing, currently transitioning from a Relationship Management background at HDFC Bank. Possesses a proven ability to leverage advanced data analytics tools and techniques, including Python, SQL, and Power BI, to drive business outcomes and enhance strategic decision-making. Eager to apply strong quantitative skills, data modeling expertise, and a track record of delivering actionable insights to a challenging Data Analytics role.
Data Analytics Intern
Bangalore, Karnataka, India
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Summary
As a Data Analytics Intern at Vetogen Animal Health, designed and implemented Power BI dashboards and conducted data cleaning, significantly reducing manual reporting time by 30% and enhancing data reliability.
Highlights
Designed and implemented interactive Power BI dashboards for sales, inventory, and operational KPIs, reducing manual reporting time by 30%.
Cleaned and transformed raw veterinary and sales data using Python (Pandas) and Excel, enhancing data reliability and reporting accuracy for critical business insights.
Collaborated with product and marketing teams to define key business KPIs, enabling real-time performance tracking and data-driven strategic decision-making.
Relationship Manager
Bangalore, Karnataka, India
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Summary
As a Relationship Manager at HDFC Bank, cultivated strong client relationships and optimized financial product offerings, directly driving a 15% improvement in customer retention and achieving a 30% lead-to-sale conversion rate.
Highlights
Cultivated and managed strategic relationships with retail and SME clients, increasing customer retention by 15% through tailored financial product offerings and proactive engagement.
Exceeded sales objectives by achieving a 30% lead-to-sale conversion rate through targeted financial advice and customized loan solutions.
Collaborated cross-functionally with product, credit, and operations teams to consistently achieve monthly sales targets and streamline customer onboarding processes.
Utilized market insights and client feedback to identify opportunities for product enhancement and service improvement, contributing to a competitive advantage.
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Master of Business Administration (MBA)
Business Analytics and Marketing
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Bachelor of Technology
Technology
Issued By
Coursera
Issued By
Coursera (Macquarie University)
Issued By
Coursera
Issued By
Coursera (Stanford University)
Python (Pandas, NumPy, Seaborn, scikit-learn), SQL.
Power BI, Tableau, Matplotlib, Excel.
Data Cleaning, Exploratory Data Analysis (EDA), Data Modeling, Time Series Forecasting, Statistical Analysis, ETL.
MySQL, SQL Server, PostgreSQL.
KPI Analysis, Dashboard Reporting, Stakeholder Reporting.
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Summary
Developed and validated churn prediction models for the banking sector, achieving high accuracy and precision in identifying at-risk customers to inform retention strategies.
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Summary
Created a dynamic Power BI dashboard for sales analysis, incorporating YoY trends and time series forecasting to identify seasonal uplifts and provide actionable profit insights.
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Summary
Developed a comprehensive MySQL relational database and ETL workflow for retail sales analysis, integrating diverse data points to identify key sales trends and top-performing entities.