Jul 2022 – Present · 3 yrs 10 mos · On-site

Jul 2021 – Jun 2022 · 11 mos · On-site

• I exhibited my agility by seamlessly transitioning from Python APIs to Node.js within a span of just two weeks, showcasing my ability to quickly adapt and learn. My adept utilization of Azure Application Insights, Logic Apps, and other tools not only facilitated robust alerting mechanisms but also empowered in-depth analysis of customer behavior, driving valuable business insights. A pivotal achievement was achieved by replacing the Microsoft Azure Search Engine with Elasticsearch and seamlessly integrating it with MySQL through Kafka pipelines. This strategic move led to substantial cost optimization and a remarkable 50% enhancement in performance, further reinforced by the effective implementation of Elastic Query DSL. This experience underscores my commitment to delivering impactful solutions that blend technical prowess with business objectives.

Jun 2020 – Jun 2021 · 1 yr · On-site

• As a proactive Data Science Intern, I spearheaded the resolution of intricate data discrepancies across multiple systems, leveraging the power of Python scripts, automated schedulers, and Azure pipelines. This comprehensive approach led to an exceptional 65% reduction in failure rates, highlighting my commitment to robust data management. In addition, I championed optimization efforts by replacing the Microsoft Azure Search Engine with cutting-edge Django-based Search APIs on the frontend. This strategic move not only lightened the application load by 50%, but also empowered users with enhanced search capabilities, elevating their overall experience. Furthermore, my hands-on involvement in migrating to FastAPI resulted in a remarkable 22% boost in application performance, further solidifying my dedication to elevating app efficiency.