Monalisa Mondal Email & Phone Number

New York, Ny, Us

Menlo Park, Ca, Us

During my Meta Micro-Internship, I joined a cross-functional team tasked with processing and analyzing 1TB of data to improve machine learning pipeline efficiency. Our common goal was to enhance the accuracy and efficiency of the ML models within a tight timeline of one month.My role was to collaborate with the team to identify bottlenecks in the data pipeline, clean and prepare the data, and test the models to improve their performance.Actively participated in team discussions to understand the pipeline’s existing issues and suggested solutions based on my experience with Python and SQL. I worked with the data engineering team to clean and preprocess the data, reducing noise and ensuring data integrity. Collaborated with the ML specialists to implement metric evaluations and improve model accuracy by 20%. My focus on thorough testing also ensured a 30% reduction in processing time. I ensured open communication by updating the team on my progress and helping others troubleshoot issues.Our collective efforts achieved a 60% improvement in pipeline efficiency, and the final models aligned closely with the project’s goals. My proactive collaboration and technical contributions received positive feedback from the team and mentors.

Chicago, Illinois, Us

Led a team in Banking, Financial Services, and Insurance sector initiatives with Kotak Mahindra Bank (India) and TRUIST(USA), boosted project efficiency by 25% and aligned with client objectives.• Developed Java-based automation scripts for Calypso assets in BFSI, achieving 100% automation, and reducing manual effort by90%, and ensuring 99% accuracy using Unified Functional Testing using VBScript.• Managed Calypso trades across six financial products, including Forex, Equity, Derivatives, Repo, Loan-Deposit andCommodities.• Created a Python-based smart comparison tool for version upgrades, use in over 3 upgrade project and 5 data migrationprojects to ensure accurate data comparison and reduce validation time by 70%.• Improved team productivity by 30% and accelerated project timelines through the effective use of both Waterfall and Agile methodologies.

Chicago, Illinois, Us

During my initial training at Kotak Bank, I received hands-on experience in Java and Calypso, where I developed a strong foundation in automation coding. As an Automation Developer, I contributed to projects independently, focusing on streamlining processes for the bank's operations. Additionally, I gained a solid understanding of capital markets, investment banking, and Robotic Process Automation (RPA), which allowed me to effectively implement automation solutions that enhanced efficiency within the organization.

Master Of Science - Ms, Computer Science

Bachelor'S Degree, Information Technology