Leveraged PyTorch to develop a proprietary machine learning algorithm capable of predicting stock market movements, enhancing the accuracy of investment decisions
Designed and implemented an end-to-end system that seamlessly fetches data, processes it, and feeds it into the machine learning algorithm
Integrated various APIs to automate the process of data acquisition, ensuring real-time updates of stock market data
Software Engineer Intern
FinStrat Management Inc
05.2023 - 08.2023
Updated legacy code bases to adhere to modern development standards, resulting in improved functionality and maintainability
Utilized a diverse tech stack including Python, Java, and JavaScript along with frameworks such as Django and React to develop and adjust software solutions
Spearheaded the creation of a company-wide application, akin to Power BI and Tableau, that democratized data access and facilitated easy understanding of complex datasets for employees
Data Engineer Intern
WelSpot
01.2023 - 03.2023
Enhanced data processing speed by optimizing ETL pipelines for efficient data ingestion and transformation
Reduced data discrepancies by implementing rigorous data validation techniques and automated error detection
Facilitated seamless integration between disparate systems by developing robust APIs for efficient data exchange between applications