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
undefinedAwarded: 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.