Avinash Raj

Lead AI Engineer | Building AI-Native FinTech @ Freecharge | LLMs & Agentic Systems | M.Tech, BITS Pilani | Ex-Flipkart, CarDekho, Paisabazaar

Gurgaon, Haryana, India

About

Results-driven professional with extensive expertise in Data Science, Business Analytics, Business Intelligence, Project Management, Python Development, Third-Party Integrations, and Dashboard Development. Proven track record of solving complex data challenges and delivering scalable, data-driven solutions across FinTech, E-Commerce, and Online Automotive Marketplaces. Skilled in driving strategic decision-making through actionable insights and advanced analytics. Passionate about leveraging AI and data science to solve business problems, uncover hidden opportunities, and drive innovation. Focused on applying Data Science techniques to optimize decision-making and enhance operational efficiency across diverse domains. Specialties : Data Science | Generative AI | RAGs | LLM | Data Engineering | ETL | Python Development | Business and Data Strategies | Data Analytics | Problem Solving | Critical Thinking | Business Intelligence & Data Visualisation | Cross-functional Collaboration | SQL | Python | Power BI | Google Cloud | Cloud Function | AWS | SAS

Experience

  • Lead Software Development Engineer at Freecharge
    Sep 2024 - Present · 1 yr 11 mos

  • Manager Data Science & Analytics at ANS Commerce
    Jun 2022 - Sep 2024 · 2 yrs 4 mos

  • Analytics Manager at Flipkart Group (ANS-Commerce)
    Jun 2022 - Aug 2024 · 2 yrs 3 mos

    Led data science, GenAI, and analytics initiatives for 100+ enterprise e-commerce clients spanning marketplaces, supply chain, and digital marketing.

  • Data Scientist at Cardekho (Girnarsoft)
    Oct 2019 - Jun 2022 · 2 yrs 9 mos

  • Data Scientist at CarDekho Group
    Sep 2019 - Jun 2022 · 2 yrs 10 mos

    Used Car Procurement Price Prediction using Hybrid Data Science Model Engineered a hybrid data science model for accurate used car price predictions, achieving a 10% accuracy range. Streamlined the auction process through automation, reducing turnaround time and enhancing conversion rates, ultimately driving revenue growth.