Build a Logistic Regression Machine Learning model using PyTorch to predict trends in data reports
Automate data reports using Pandas in Python saving 200 hours of manual work annually
Lead weekly meetings for the Chief Customer Officer and senior leadership to present data findings
Create dynamic dashboards using Power BI to visualize and present data efficiently
Extract data from Microsoft SQL Server to analyze and manage large datasets in Excel
Fixed broken client data feed script in Python to help traders identify under/over-valued stocks
Set the client-side web application to display a graph that automatically updates as it gets data from the client side
Generated a live graph that displays the data feed in a clear and visually appealing way to monitor trading strategies
Architected and implemented a custom authentication service for REST APIs in SpringBoot with a SQL database integration
Streamlined API flow by eliminating redundant checks via the authentication service, improving operational efficiency by ∼15%
Generated and updated swagger documentation using Python Flask RESTx facilitating easier API endpoint manipulation and testing in Postman
Implemented a config based user experience website in JavaScript and CSS to display ticket pricing depending on the venue of events
Managed a small-scale local online bakery independently to deliver hand-made desserts
Delivered 10 orders a week on an average alongside managing school and swimming practice
Responded to high pressure situations and 24-hour order deadlines with patience and composure
Improved people-skills by interacting with 8-10 customers daily to deliver orders
Increased the profit margin from 4% to a 4.8% margin by September 2021