Responsibilities:- Aide university departments in optimizing their business operations, improve customer service, and reduce costs in order to improve the student experience on campus.- Assist with data acquisition, cleaning, and transformation.- Build and train machine learning models focusing on tasks like regression, classification, and forecasting.- Experiment with different algorithms and techniques to optimize model performance, analyzing results and providing insights.

Insurance Client• Assisted clients in migrating from legacy systems to cloud-based solutions, ensuring a seamless transition and improved system performance.• Designed and developed an end-to-end ETL pipeline to onboard a new source system, extracting policy data from XML files. This enabled the business to analyze data from over 320 attributes across 20+ tables.• Maintained and enhanced data systems to ensure accurate and reliable data reporting for business analysis.• Automated internal processes using Python, reducing error margins and increasing efficiency by saving 4-6 hours per task.• Developed an accelerator specializing in rule-based code generation, cutting ETL pipeline development time by 40%.• Conducted training sessions on Python and data engineering concepts, accelerating the onboarding process for new team members.

Quick Service Restaurant Client• Implemented a price recommendation strategy anticipated to generate a profit increase of $1M-3M across 17 market regions, encompassing over 5000 stores, while ensuring guest count loss remains below 1%.• Collaborated in the development of a machine learning model to predict price elasticity of items, enhancing pricing accuracy and strategic decision-making.• Presented key insights and strategic recommendations to clients using Tableau, effectively communicating complex data in a clear and actionable manner.• Improved the process efficiency by 30% by streamlining the code pipeline.

• Developed an algorithm to enhance night sky photographs captured by mobile phone cameras, significantly increasing the signal-to-noise ratio using advanced image processing and computer vision techniques.• Awarded the "Excellence" award and a $300 reward for outstanding contributions during the Samsung PRISM internship program.• Published a research paper titled "Star Identification in Night Sky Images Using Mobile Phone Cameras" in an IEEE journal, showcasing the innovative work conducted during the internship.

Provided software-based products and solutions to clients on a freelance basis. Served over five countries.Notable Projects: Discord Sneaker Notification Service• Developed a Discord bot to track multiple sites and send notifications for rare and premium sneakers.• Utilized BeautifulSoup and Scrapy to scrape over seven websites, ensuring timely updates and alerts.University Assistant ChatBot • Developed a chatbot using Python to answer FAQs related to the university.• Created a custom dataset and employed various NLP models and techniques to train the chatbot for optimal performance and accuracy.