Sabyasachi Mishra

Assistant Manager (Project Finance)

• Structured & managed ₹15,000+ Cr in infrastructure financing, ensuring project viability & risk-adjusted returns.
• Conducted credit risk assessment & developed debt restructuring strategies, reducing potential financial losses by 20%.
• Led due diligence & structured 6+ RTLs, facilitating negotiations & accelerating financial closure.
• Developed a MIS framework tracking 15+ indicators for ₹5,000 Cr+ renewable energy projects, enabling proactive risk monitoring.
• Collaborated with MoP/CEA to implement 10+ SOPs under LPS policy, reducing overdue payments by 60%.

Co-Founder

• Developed & launched a Machine Learning powered learning platform, reducing content delivery costs by 30%.
• Spearheaded the development of an AI-driven adaptive testing platform, used by 400+ CAT aspirants.
• Built an EdTech startup from scratch, driving 50% revenue growth & expanding customer base through multi-channel marketing.
• Led a team of 11 (8 affiliates, 3 managers), overseeing daily operations & ensuring smooth execution.
• Built predictive analytics dashboards using Python (Colab) on Google Ads data, optimizing ad spend & boosting conversions by 60%.

Associate – IT Operations

• Built an AI-driven live class system, enhancing performance tracking & real-time student engagement up to 80%.
• Developed AI models for automated student assessment, reducing manual intervention by 40%.
• Designed a data-driven system to track student performance, enabling real-time feedback and personalized learning.
• Led cross-functional collaboration with educators & engineers to refine ML algorithms & optimize user experience.
• Assisted in business development & investor pitches, contributing to early-stage fundraising success.

Product Analyst - Digital Strategy & Market Intelligence

• Automated competitor analysis workflows, reducing manual data processing time by 30%.
• Applied NLP & sentiment analysis to assess brand perception & patient feedback, improving targeting strategies.
• Developed a BI data-driven market intelligence framework to analyse Levothyroxine market trends & competitor strategies.
• Collaborated with cross-functional teams (Marketing, Sales, Data Science) to integrate data-driven insights into business strategy.
• Used Python and Power BI to build CNN-based predictive dashboards, optimizing campaign performance & market insights.

Software Development Intern (Product Development)

• Developed a job recommendation system using machine learning, improving match accuracy by 45%.
• Designed a blockchain-based gig economy model, ensuring secure transactions & decentralized freelancer verification.
• Implemented NLP algorithms to enhance resume parsing & increase employer-freelancer matchmaking efficiency.
• Integrated smart contracts for automated payments & trust-based engagements in freelance marketplaces.
• Built a MVP combining AI recommendations & blockchain security, boosting user engagement & job placement efficiency.
• Collaborated with product & engineering teams to refine Machine Learning algorithms & optimize system performance.

🔹 LLM Prompt Tuning Interface

✅ Designed and deployed an interactive LLM tuning platform using Streamlit & OpenAI API, allowing real-time text generation adjustments via dynamic sliders.

✅ Bridged AI and user experience by productizing LLM tuning, eliminating the need for manual parameter tweaking and enhancing accessibility for non-technical users.

🔹 FeatureFit: AI-Powered Feature Prioritization Tool

✅ Developed and launched an AI-powered feature prioritization tool that leverages the RICE and SWOT frameworks to empower product managers with data-driven insights.

✅ Managed the end-to-end product lifecycle, integrating real-time analytics and actionable recommendations to optimize product strategy.

🔹 Reddit Trend Analysis using Graph Neural Networks (GNNs)

✅ Built a real-time Reddit trend analysis tool integrating Graph Neural Networks (PyTorch Geometric) & NLP, enabling sentiment tracking and discussion propagation insights.

✅ Developed a product-focused analytics dashboard, allowing users to explore topic virality, sentiment evolution, and influencer impact through an intuitive interface.