In this episode of Scaler Pod, the CXO and Sr. VP of Technology at Simpl delve deeper into how checkout solutions like Simpl offer postpaid services, improving consumer experience and building trust through distributed internet-based ledgers. They discuss how advanced Data Science Models and heuristic-based Analytics are employed to assess and manage risks and identify fraudulent transactions. Arnav and the guests discuss how the tech stack for Simpl includes deep machine-learning models and real-time processing, facilitating smooth software touchpoints. They also discussed the tech behind how Simpl is a “Khata facility” on the internet, in collaboration with other e-commerce platforms like Zomato, Swiggy, Blinkit, Zepto, MakeMyTrip, Myntra, JioMart, etc. With their vast experience in engineering and core tech over the years, the guests also shed light on the importance of deep tech knowledge, Large Language Models (LLMs), problem-solving skills and an engineering mindset to thrive. This podcast will be very insightful for anyone enthusiastic about Data Science, Cloud Computing, the Fintech industry, and much more. Here is the detailed list of topics they all had a discussion about in this new Scaler Pod podcast:- 0:00 - Trailer 1:27 - Introduction 2:29 - Personal and professional journey of the guests 8:35 - Technology Development Now Vs Before 14:45 - Approach towards India-specific Problems 20:30 - Fraud control measures at Simpl 25:33 - The credit purchase mindset of users 34:32 - Data Science models for assessing risk 45:15 - Building the tech team at Simpl 55:55 - How does working in the US tech market add to skills 1:06:14 - Culture at Simpl 1:10:22 - Advice for engineers to move to product management 1:23:29 - The importance of staying close to practical application 1:31:00 - How MBA helped Vivek in his journey 1:38:20 - Managing and investing in startups