Bhuvaneshwari L
@bhuvaneshwaril
I analyze business data to uncover profit leaks, improve retention, and forecast demand.
What I'm looking for
I analyzed 947K+ quick-commerce transactions to trace ₹4.22M in losses to low order values, then built a Power BI dashboard for profit, discount, and delivery-time reporting across eight platforms and 12 cities.
Through Deloitte's Forage Data Analytics Job Simulation, I built a Tableau dashboard for forensic technology datasets, classified raw data in Excel, and translated fraud-risk findings into recommendations for business stakeholders. I've also analyzed customer revenue and churn, identifying regional and category growth opportunities and using cohort analysis to inform a strategy associated with 15% improved retention over 12 months.
For retail inventory forecasting, I compared SARIMA and XGBoost models on 21,930 daily sales records, achieving 6.1% MAPE and identifying holidays and promotions as key demand drivers. I'm looking to apply SQL, Python, Power BI, and analytical problem-solving to real business decisions.
Experience
Work history, roles, and key accomplishments
Built an interactive Tableau dashboard to analyze forensic technology datasets, identifying transaction-level patterns for business stakeholders. Applied Excel-based data classification techniques to structure raw forensic data and support fraud-risk business insights.
Education
Degrees, certifications, and relevant coursework
East Point College of Engineering and Technology
Bachelor of Engineering, Electronics and Communication Engineering
Grade: 7.5/10
Pursuing a Bachelor of Engineering in Electronics and Communication Engineering, with a CGPA of 7.5/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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