Jahnwi

As a Data Analyst at VTY Consulting LLP, Jahnwi develops and deploys advanced Python-based data solutions to optimize financial operations and enhance strategic decision-making for algorithmic trading.

• Developed and deployed a Python-based allocation verification system, ensuring 100% accuracy for fund allocations across 400+ algorithmic trading accounts and preventing misallocations valued up to 5 Cr.
• Automated daily generation and compilation of 50+ MTM reports, Orderbook, and Gridlog files using Python, Pandas, and Google Drive API, resulting in savings of over 20 operator hours per week.
• Designed and implemented robust validation checks to proactively detect and flag operator errors in daily files, significantly reducing manual reporting mistakes by 95%.
• Implemented a MySQL database backend for storing daily compiled data, which improved data retrieval time by 60% and enabled seamless querying for in-depth analysis.
• Collaborated with the Team Lead to create 5+ dynamic Power BI dashboards, visualizing AUM, P&L trends, server-wise returns, and win/loss patterns for enhanced monitoring of 400+ trading accounts.
• Utilized Regex, Pandas, and automation libraries to efficiently extract, clean, and transform raw financial files into accurate, business-ready datasets.

As AI & ML Lead at GDSC ACEIT, Jahnwi spearheaded community initiatives, workshops, and learning events, fostering skill development for over 200 students in AI, ML, and cloud technologies.

• Led AI & ML community initiatives for 200+ students, planning and conducting workshops and hands-on sessions.
• Organized Web 3 Meetups, Google Cloud Study Jam, and Google Cloud Graduation Day for over 500 participants.
• Facilitated peer-to-peer learning and mentored junior students on AI, ML, and cloud tools.

Engineered a Python-based automated system to cross-check daily allocations for 400+ trading accounts, preventing allocation mismatches up to 5 Cr.

Developed Python scripts to automate daily Users MTM, Orderbook, and Gridlog file compilation, efficiently processing over 20 files daily.

Designed and published 5+ interactive Power BI dashboards to visualize key trading metrics: daily MTM, AUM, return %, win/loss days, server, and algo performance.

Achieved first place in the Chess competition at the SITE National Level Youth Fest, demonstrating strategic thinking and competitive excellence.

Secured second position in the Music Mania event, showcasing creative talent and performance skills.

Authored a research paper for ICACEBD-24, focusing on the advancements and applications of Power BI in driving business intelligence, contributing to academic discourse in the field.