Managed the daily operations of a windshield distribution warehouse, including: accounts receivable and payable, inventory management, cycle counts, damage claims, payroll, scheduling, hiring and interviewing new employees, and reporting performance to the regional manager.

Directed the material handling, billing of customer invoices. Completed daily tasks with the use of Microsoft Office applications and AS400 .
Ensured timely deliveries, and maintained professional relationships with suppliers
Supervised a team of warehouse employees and ensured accountability.

Performance Awards & Bonus Received:
- Top Regional Performance (2019)
- Best Regional ISP Prime Unit Sales (2019)

Tools: Python, API requests, Data scraping.
Algorithm: Logistic regression, LSTM, Random Forest Classifier
Goal: Build a predictive model that can forecast revenue for the year and build model that will predict hotel cancellations.
Dataset: Hotel bookings transactions. API weather data.
Results: Final model was Random Forest Classifier which was able to accurately predict the cancellations from hotel bookings.

Tools: Python, Matplotlib
Algorithm: Classification & Regression Models
Goal: To predict arrival delays of commercial flights in Jan 2020.
Dataset: Departure and arrival information about flights in the US for 2018 and 2019; over 600K data points.
Results: Final model was Random Forest Regressor and improved upon the base model accuracy.