Rahul Pednekar
Data Science Manager, Generative Ai Aig @AIG
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WORK HISTORY
Data Science Manager, Generative Ai Aig @AIG
London, GB
EDUCATION
PTVA's Sathaye College
HSC, Science
Father Agnel Engineering College
Bachelor of Engineering (B.E.), Computer Engineering
SKILLS
ABOUT RAHUL PEDNEKAR
Data-driven decision making is the key ingredient to long-term success in today’s cut-throat digital age, it is a pursuit, every modern business should place at the heart of their culture.My focus is leveraging Data Science & Gen AI to enable high quality decision making across the company, critically evaluating product strategies and leading a team of talented Data Scientists.The ‘gold’ that we ‘mine’, comes in two distinctive types: Qualitative and Quantitative, and both are critical to making a data driven decision. The digital world is in a constant state of flux, and to move with the ever-changing landscape around us, me and my team leverage data to make more informed business decisions.I believe that - How good Humans and Technology can work together to positively impact people & Planet- How Data Science, ML & Gen AI can make the world a better place.My expertise lie in- Retrieval-Augmented Generation (RAG), prompting or fine-tuning- Create, Scale, Optimize & Deploy Machine Learning Solutions on Cloud- Designing, architecting and developing solutions leveraging Bigdata Technology (Spark, Azure Cloud, Palantir Foundry)- Decision making based on data that leads to the discovery of new innovations & exciting business opportunities- Bridging the gap between Analytics & Business by articulating the Business Problem across different domains- Having a deep Understanding of what is the minimum that has the maximum impact.I have Curiosity about Data & Passion for the Domain. Data Science is a pursuit of Curiosity & I love teaching Data Science & have published various Data Science articles on medium.Reach out if you want to talk about Gen AI, Emerging Tech in Data Science & Purpose Driven Storytelling.Specialities : Gen AI | Business Analytics | Explainable AI | Statistics | Big Data (Spark)| Data Lake | Data Warehouse | Data Lab | Predictive Analytics | Azure-Cloud | Algorithmic Design | Insurance- Underwriting, pricing, costing models |Palantir Foundry | Experiment - Learn - Adapt
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