Designed an automated skill management system to track individual performance across all production lines using data-driven approaches.
Developed a model to centralize employee data management and facilitated seamless data entry and maintenance, ensuring data integrity and accessibility
Created a data pipeline to integrate this model into the Bobcat app
Achieved 80% reduction in time taken to record performance and 20% reduction in reworks resulting in $100,000 in cost savings per year
Developed automated dashboards using PowerBI to track different key performance indicators(KPI) of facilities worldwide
Data Analyst, Bobcat, NC, USA
Stock Price Direction Prediction Using LSTM
Developed Machine Learning models forecasting directional stock price movements using Python; optimized features and model hyperparameters
Enabled profitable trading strategies by predicting whether the closing price would exceed the opening day price based on pre-pandemic data
Results demonstrate an accuracy of about 69% using Long Short-Term Memory(LSTM)
Crime Rate Analysis In the US
The purpose of the visualization is to enable agencies to strategically allocate resources, identify variations and trends in crime rates over time, and make informed decisions to optimize law enforcement efforts
User-friendly dashboards and interactive charts, empowers stakeholders to explore specific crime categories, regions, or periods enhancing data engagement and informed decision-making.
Developed optimized logistics plan lowering costs ($34K) for 600+ shipments from Illinois to Northwest US destinations
Built a dynamic model comparing transportation modes (intermodal, TL, LTL) incorporating delivery window constraints
Analyzed shipment feasibility analysis and designed routing solution minimizing total logistics spend