Jun 2024 – Aug 2024 · 2 mos · Riyadh, Saudi Arabia

May 2024 – Aug 2024 · 3 mos · Bengaluru, Karnataka, India · Remote

Nov 2023 – Aug 2024 · 9 mos

Jun 2023 – Dec 2023 · 6 mos · Baltimore, Maryland, United States

• Employed efficient web scraping techniques to retrieve and extract over 1 million Datasets of Government of India from online sources
• Leveraged the power of geospatial data analysis to meticulously examine Gazette Notifications, unearthing insightful spatial patterns
• Developed a unique and innovative quantitative dataset by leveraging text mining, natural language processing and machine learning

May 2023 – Dec 2023 · 7 mos

• Achieved a 15% reduction in potential losses for Liquidity Providers by conducting an analysis of impermanent losses within Uniswap pools
• Performed a thorough analysis of stablecoin pegging strategies and developed a model to anticipate potential de-pegging events
• Created a robust solvency ranking framework for protocols by studying their liquidation strategies and analysing other financial metrics

May 2023 – Jun 2023 · 1 mo · Bengaluru, Karnataka, India

• Achieved a 12% reduction in Return to Origin (RTO) rates through data-driven pattern identification and improving customer satisfaction
• Developed and implemented a robust predictive model to accurately forecast demand, enabling proactive inventory management
• Optimised real inventory utilization, increasing its contribution to 45% from 30% of total sales reducing average delivery time of products

Nov 2022 – May 2023 · 6 mos

• Conducted extensive research and analysis on companies across various industries, utilizing natural language processing (NLP) techniques to evaluate financial risks faced by each company.
• Developed and implemented cutting-edge NLP algorithms and models to extract critical information from large volumes of textual data, including annual reports, financial statements, and industry news.
• Utilized the McDonald and Loughran analysis framework to enhance the accuracy and effectiveness of financial rating models, incorporating relevant risk factors into mathematical models.•

Aug 2022 – May 2023 · 9 mos

• Successfully organized Spring Fest 2023, the annual Social & Cultural Fest of IIT Kharagpur, in a completely offline mode with a team of 16 Core Organising Team Heads, 41 Core Organising Team Members, and 44 Associate Members.
• Spearheaded Sponsorship Drive in Bangalore raising INR 9 Lac+, a 170% YoY increase
• Individually garnered funds & and sponsorships worth INR 8 Lac+ INR through alumni contributions &
• and corporate deals.
• Led a team of 44 Associate Members for conducting publicity drives, and dedicated seminars throughout the nation in 200+ colleges which led to a 46% YOY increase in participation.
• Spearheaded publicity in the state of UP which saw a 230% YOY increase in participation from these regions.
• Conducted Nationwide Prelims in Bangalore with the participation of 10+ Colleges.
• Conducted WILDFIRE - The Rock Band Event at Delhi with the participation of 10+ Bands.
• Managed SF CAFE setup from construction, kiosk selling, and events conduction, managing a budget
• of INR 2 Lac+.

Jan 2022 – May 2023 · 1 yr 4 mos · Kharagpur, West Bengal, India