May 2025 – Jul 2025 · 2 mos · On-site

• Strategy Consulting for a Swiss-based global private equity player in the infrastructure and real estate space

May 2024 – Jul 2024 · 2 mos · Riyadh, Saudi Arabia

• Implemented credit policy for the SMEs and created a scorecard for the identification of high value customers
• Developed a customised credit rating system for 100+ SME clients with 75% greater accuracy than the conventional Wiserfunding model
• Created a decision engine using Logistic Regression models and applied LIME for explaining the variables used in decision making
• Achieved a net accuracy of 85% and F1-score of 0.81 by building a dashboard using streamlit and a scorecard UI for the decision engine

Jan 2024 – Mar 2024 · 2 mos

• Performed RWA optimization of portfolio of diverse assets worth Saudi Riyal 7.5 Million in collaboration with SAB (Saudi Awwal Bank)
• Reduced compliance risks by over 40% by enacting attribution analysis on Model Management Standards of Central Bank of the UAE
• Developed and validated credit risk models like PD, PIT- PD, B-score with mean residual error <3%, post due diligence and back testing

Oct 2023 – Dec 2023 · 2 mos

Sep 2023 – Present · 2 yrs 6 mos

• Established a society and spearheaded its expansion to 100+ members to increase awareness of Governance issues within IIT Kharagpur
• Organized 9 public policy events with 15,000+ footfall, secured sponsorship worth INR 110K and initiated Diplomatic Discourse Podcast
• Interacted with foreign Consuls and ex-Ambassadors with digital impressions of the blogs exceeding 10k, improving SEO rating by 100%

Aug 2023 – Present · 2 yrs 7 mos

Jul 2023 – Jan 2024 · 6 mos

• Co-founded a one of its kind Trading Club at IIT Kharagpur for all Trading Enthuasiasts and Fin-Geeks
• Currently preparing a full-fledged course on Trading and Equity Management for all students.
• Specializing in introducing Futures and Derivatives-based contests in college

Jul 2023 – Oct 2023 · 3 mos

• Data Science and Analytics for Business Research | A. B. Freeman School of Business, Tulane University, U.S.A.
• Quantifying the impact of the departure or placement of a top performer on organizational dynamics by examining the Intrafirm Network Structure and Resilience
• Implemented Python libraries like Pandas to construct datasets, performed Wrangling and EDA to clean and organize data and to generate insights
• Employed Python's NetworkX library and Graph Theory to establish a network between inventors of 30k+ firms, finding the density and inter-dependence on stars in a firm

May 2023 – Aug 2023 · 3 mos

• Outreach to Food Processing Micro-entrepreneurs as a part of the GoI PM FME Scheme under Prof. Jaideep Prabhu
• Co-ordinated with State Management Units of the Ministry of Food Processing Industries to support micro-food processing enterprises
• Single-handedly built 8 different channels at ground level to develop awareness and a large funnel of interested and eligible entrepreneurs
• Enabled 100+ micro-entrepreneurs, a 124.49% YOY to launch or scale up their micro food-processing units in Delhi via PM-FME scheme

May 2023 – Aug 2023 · 3 mos

• Maternal and Child Health monitoring (MCH) in low and middle-income countries under Prof. Pascal Geldsetzer
• Conducted Exploratory Data Analysis to visualize data, understand co-relation between features and identify the outliers among them
• Utilized XGBoost, CATboost and Random Forest Regressor models to predict values of 6+ independent labels with 93.50% accuracy
• Improved the RMSE of validation data by 63.75% by applying PCA to extract important components out of nearly 10k+ features in dataset

Feb 2023 – Mar 2023 · 1 mo

• Supervised a team of 30+ students and initiated multiple events as Vice-President of Youth India Foundation, West Bengal Chapter

Feb 2023 – Feb 2023 · 0 mo

• Engineer's Conclave (Event Gold) | Inter-IIT Tech Meet 11.0 | IIT Kanpur
• Represented IIT Kharagpur at Engineer’s Conclave Conference, clinching Gold (150 points) with project report declared among the top 17
• Presented a report on a unique 4-wheeled Soft Robot and its disruptive use in Industry 4.0 before 4 esteemed academicians and judges

Jan 2023 – Jan 2023 · 0 mo

• Speaking and Comedic Arts Cup (Gold) | Inter-IIT Cultural Meet 4.0 | IIT Madras
• Represented IIT Kharagpur at the Cultural Meet in the Gold-winning Contingent in 2 events- Just a Minute and STEW, winning Gold overall
• Achieved an Institute-best position among the top 5 speakers in JAM and the only participant from IIT Kharagpur to reach finals in STEW

Oct 2022 – Present · 3 yrs 5 mos · IIT Kharagpur

• Media Head | Mekanika | Department of Mechanical Engineering
• Procured and managed a department fund of 3,00,000+ INR (150.00% YOY) during the tenure for 8 varied Intra-departmental activities
• Organized impactful and fun events such as Farewell for outgoing batch, Freshers Induction and Mentorship session for the sophomores
• Selected as one of the 4 Heads for the upcoming session, based on performance and leadership skills demonstrated during the tenure

Oct 2022 – Jun 2023 · 8 mos

• Nominated as one of the 21 Core Team Members by 8+ Co-ordinators.
• Contacted Sponsors and Industrial partners for the flagship TEDx event
• Initiated talks for an event offering academic researchers to sell their patents to Industry heavyweights, thus bridging the
• gap between Academic research and Industrial Requirements

Sep 2022 – Jul 2023 · 10 mos

• Entrusted with responsibility to grow & manage the startup by Sponsored Research and Industrial Consultancy, IIT KGP
• The first-of-its-kind body to bring out research and tech stories from PAN IIT Ecosystem, promoting research and startup
• Involved in its expansion beyond 10 IITs, setting up independent sub-teams and expanding membership of company to 200+
• people
• Led the expansion efforts of the team and on boarded members at a PAN-IIT level, increasing the reach of the magazine

Aug 2022 – Jul 2023 · 11 mos

• Designing a unique all-terrain, autonomous RoboVehicle for use in Shipbuilding Industries to detect welding defects on ships
• Performed literature review to design chasis of the vehicle, reducing cost by 125.67% and maximizing payload capacity upto 15.50 kg
• Simulated a unique design on SolidWorks and Ansys and assembled a prototype with 80.00% efficiency post fabrication and grafting
• Currently leading testing of prototype to design magnetically powered, 8-wheeled final model with predicted 95.50% efficacy by Nov '23

Jun 2022 – Aug 2022 · 2 mos

• Developing an algorithm to predict adverse drug effect without active follow-up from patients, using machine learning predictive
• models and its efficacy in real-time scenarios
• Single-handedly conducted extensive surveys and gauged potential pifalls in conventional prediction techniques through numerous
• interactions to identify features which needed to be added in the new model
• Utilised several Data Mining Techniques on the collected dataset to refine it for model deployment