Aug 2024 – Present · 1 yr 9 mos · San Diego, California, United States · On-site

• Enhanced data processing efficiency by building end-to-end data pipelines for handbag data, consolidating information from more than 15 sources using Python and PySpark leading to improved data quality and faster analysis.
• Automated data collection processes with web scraping, AWS Lambda, and S3, saving over 20 hours per week.
• Achieved 80% accuracy in detecting scratches and faded colors on handbags by implementing Meta AI’s Detectron-2 model.
• Streamlined fetching form 10-K annual reports for various companies using Python libraries, cutting time by ∼60%.

Feb 2023 – Jul 2024 · 1 yr 5 mos

• Implemented a common standardized reporting library in Python Pandas to create customized tabular reports and diverse charts in PDF format using the report lab library reducing manual work by ∼35%.
• Conducted test-driven development and created prototypes for the InsightMidsection project, accelerating decision-making processes and enhancing UI design efficiency by ∼80%.
• Developed a web application in ReactJS using Redux and Context API that saved 25 labor hours per week.
• Managed a team of 3 in the Investor Economics project; Played a pivotal role in designing the database architecture leading to 2x faster decision-making.
• Migrated monolithic python based pipelines to a microservices based architecture, significantly reducing maintenance efforts and enhancing system scalability. Also, containerized microservices using Docker & Docker-compose, configured Gitlab-ci pipelines to build & push docker images to artifactory.
• Upgraded major business applications to newer Java 17, Spring 3.2.3 Framework and React 18, analyzing the impact and correcting deprecation, boosting web migration journey by 40%.

Jul 2022 – Feb 2023 · 7 mos

• Accelerated process execution from a 30-minute wait time to an immediate response by replacing scheduled Python jobs with an event-driven architecture using Redis streams as a message queue, thereby eliminating user latency.
• Contributed to all stages of application development, including analyzing requirements, creating over 5 proofs of concepts, and collaborating with cross-functional teams while following Agile methodologies.
• Collaborated with business teams to design and implement a responsive web interface, using ReactJS components and custom hooks along with a FastAPI backend, improving web application performance by 20%
• Built event-driven microservices and scheduled ETL pipelines in Python, to seamlessly load financial data from different excel format and API endpoints into SQL server applying custom business logic.
• Practiced Agile for continuous delivery and efficiently resolved Jira issues with an average turnaround time of 24 hours.

Jan 2022 – Jul 2022 · 6 mos

• Analysed and automated a monthly data process, and replaced manual procedures which enhanced efficiency by 35%.
• Implemented SQL stored procedures to streamline and accelerate the execution of 10 data pipelines.
• Over 30 Python-based data processing services were launched, ensuring seamless data handling to meet critical requirements and optimizing pipeline efficiency by 20%.
• Designed and built comprehensive business intelligence reports using SSRS, enabling informed decision-making.