

Dedicated and detail-oriented professional with 1.5 years of pertinent experience, actively seeking a challenging position in Business Analytics. Eager to apply my skills in presentation and information methodology, business model analysis, and day-to-day operational analysis. Committed to delivering comprehensive business reports and fostering data-driven decision-making within an organizational context. Excellent quantitative and critical thinking abilities paired with expert knowledge of SQL and Python.
Tableau Visualization
JMP software
SQL Proficiency
PowerBi
Advanced Excel
Machine Learning
Stop-loss reporting tools
Python Programming
Data Interpretation
Stress testing
Risk Mitigation
Awarded: Best idea presented for "Developing a model to predict rice crop yield and price in Karnataka region using machine learning at 2022 Asian society for innovation and policy .
Hosted by: Korea Institute of science and Technology & daejon Institute of science and Technology.
Developing a model to predict rice crop yield and price in Karnataka region using machine learning
Task Handled: Predicting future crop yield by using historical data and chosen machine learning algorithms like XGbooster and Random forest to find accuracy & price. (Language used Python)
Analysis of First Aid Medicine vending machine for accident zones in Bangalore City
Tasks handled: Identity and Locating Total accidents in the city, People Perspective, Analyzing Accident Data Across the city using SPSS tool & Interpretation of Data.