Data Science Salon Podcast

Empowering Change: Neha Mehta’s Vision for FinTech, Sustainability & Financial Inclusion

DSS Podcast Episode 53: Empowering Change: Neha Mehta’s Vision for FinTech, Sustainability & Financial Inclusion In this episode of the Data Science Salon Podcast, we sit down with Neha Mehta, a globally recognized FinTech leader, AI expert, and sustainability advocate. As the Founder and CEO of FemTech Partners, Neha has spent over 19 years transforming the financial landscape, focusing on financial inclusion, women’s empowerment, and sustainable development. She is also the author of One Stop, a bestselling book that explores the potential of Super Apps in reshaping financial services for underserved populations. In this conversation, Neha shares her journey from pioneering FinTech solutions to advancing Sustainable Development Goals (SDGs), her work in ClimateTech, and how AI can drive financial inclusivity. She also discusses her vision for the future of sustainable finance, her work with blue economy initiatives, and the impact of technology on climate action. Key Highlights: -AI for Financial Inclusion: Neha discusses how Super Apps are bridging the financial divide, enabling better access to financial services in underserved markets, and empowering women entrepreneurs. -Building Sustainable Financial Ecosystems: Learn about Neha’s approach to integrating Sustainable Development Goals (SDGs) into financial ecosystems, especially focusing on climate finance and the blue economy. -Leadership in FinTech & Sustainability: Neha shares her leadership journey and how she’s shaping a more inclusive, equitable future in FinTech and sustainable finance. -Global Impact & Mentorship: Insight into Neha’s mentorship and advocacy for fostering diversity in the tech and finance industries, and how she’s helping the next generation of leaders rise in these fields. Whether you’re an entrepreneur, FinTech innovator, or passionate about sustainability, this episode offers valuable insights into how technology is driving inclusive growth, transforming financial services, and powering climate solutions. 🎧 Tune in to Episode 53 to hear how Neha is creating impactful change at the intersection of FinTech, sustainability, and empowerment! Be sure to mark your calendars for DSS MIA on September 17, where we will focus on THE FUTURE OF APPLIED AI IN THE ENTERPRISE. Join us to hear from experts on how AI is shaping the future of applied AI. https://www.datascience.salon/miami/

Agentic AI and the Future of Compliance: Revolutionizing Decision-Making and Risk Management in FinTech

In this episode of the Data Science Salon Podcast, we sit down with Kalpan Dharamshi, VP at JP Morgan Chase, and a leader in Machine Learning and Cloud Architecture. Kalpan shares his journey from cloud architecture to AI-driven compliance solutions and how his work is transforming decision-making processes in the FinTech industry. Kalpan’s focus on Agentic AI—autonomous systems that can handle compliance, risk management, and real-time decision-making—has reshaped the way financial institutions manage compliance. He discusses how large language models (LLMs) and AI agents can automate and scale compliance procedures, making them proactive, accurate, and cost-effective. Key Highlights: -Agentic AI in FinTech: How Agentic AI is automating continuous monitoring and compliance in the financial services industry. -Machine Learning for Compliance: How AI can interpret unstructured data and ensure real-time policy adherence in highly dynamic industries. -The Future of AI in Decision-Making: Kalpan’s vision for the future of AI-driven decision-making and automated risk management. -Make sure to catch Kalpan at the https://appliedaisummit.org/ for free 🎧 Tune in to Episode 52 to hear how Kalpan Dharamshi is shaping the future of AI and compliance in the FinTech industry! Be sure to mark your calendars for DSS NYC on December 11, where we will focus on finance and banking—exploring the latest trends in AI and financial regulation. Join us to hear from experts on how AI is shaping the future of finance. https://www.datascience.salon/newyork/

Beyond the Model: Engineering Trust, Scale & Speed in AI-Powered Systems

In this episode of the Data Science Salon Podcast, we sit down with Anusha Nerella, a seasoned technology leader and Senior Principal Software Engineer at State Street Corporation. With over a decade of experience across top-tier institutions like Barclaycard, Citibank, and USPTO, Anusha brings deep technical expertise in AI/ML automation, enterprise engineering, and scalable financial systems. In this conversation, Anusha shares her journey from software development to leading enterprise-scale AI initiatives, her work in high-frequency trading and automation frameworks, and her passion for mentoring and advancing the next generation of tech talent. Key Highlights: Engineering with Purpose: Anusha walks us through how she’s building intelligent, AI-powered automation frameworks to optimize performance and reliability in financial systems at scale. Bridging Code & Vision: A look at how her work integrates AI, DevOps, and big data architecture to deliver long-lasting, strategic impact within complex enterprise environments. Leading with Intention: Anusha discusses the role of mentorship, community involvement, and advocacy in shaping a more inclusive and innovative future in tech. The Future of AI Automation: Insight into where the industry is heading—from operationalizing machine learning to driving cross-industry transformation with intelligent systems. Whether you’re a technical founder, enterprise leader, or aspiring AI engineer, this episode offers a deep dive into how real-world AI systems are built, scaled, and delivered with precision and purpose. 🎧 Tune in to Episode 51 and get inspired by how Anusha is redefining enterprise innovation through applied AI and automation! Be sure to mark your calendars for DSS NYC on December 11, where we will focus on finance and banking—exploring the latest trends in AI and financial regulation. Join us to hear from experts on how AI is shaping the future of finance. https://www.datascience.salon/newyork/

Architecting AI-Driven Financial Systems: Innovation at the Intersection of Fintech and Emerging Tech

In this episode of the Data Science Salon Podcast, we sit down with Sasibhushan Rao Chanthati, AVP and Senior Software Engineer at T. Rowe Price, where he’s building the future of finance through intelligent, scalable technologies. Sasi specializes in creating secure digital ecosystems and real-time analytics platforms that power AI-driven decision making at scale. With a background that spans research, software engineering, and cloud architecture, he’s pushing the boundaries of what’s possible at the intersection of fintech, automation, and enterprise AI. In this episode, Sasi shares insights from over a decade of experience building next-gen systems across the financial sector, his passion for ethical innovation, and what it really takes to build future-ready, inclusive AI infrastructure. Key Highlights: Sasibhushan walks us through the technical backbone of modern financial infrastructure and how AI is redefining intelligent automation. Real-world examples of building decision support systems using ServiceNow, AWS, and LLMs. Thoughts on balancing academic research with enterprise-scale engineering—and why that blend drives better innovation. Insights on the ethics and governance challenges facing enterprise AI adoption. Advice for up-and-coming engineers and researchers entering today’s fast-evolving AI landscape. This episode is a must-listen for data scientists, engineers, technical leaders, and anyone interested in how automation, AI, and cloud technologies are transforming the global financial ecosystem. 🎧 Tune in to Episode 50 to hear how Sasibhushan is shaping the future of financial systems with applied AI and inclusive innovation.

Proactive by Design: How AI Predicts and Prevents Failures

In this episode of the Data Science Salon Podcast, we sit down with Vishnupriya Devarajulu, a Software Engineer specializing in AI- and ML-driven performance optimization for large-scale enterprise systems. With deep expertise in backend engineering, system diagnostics, and intelligent test automation, Priya is redefining how organizations build systems that don’t just respond—they anticipate. Priya walks us through her work designing adaptive frameworks that use machine learning to forecast system bottlenecks, improve latency, and optimize performance in high-stakes environments like finance. Key Highlights: Priya explains how she transforms traditional automation into self-learning, AI-powered frameworks using models like Random Forest to proactively identify and solve system issues. A deep dive into building ML-integrated performance pipelines that can adapt over time, dynamically suggest test scenarios, and drive smarter, faster, and more resilient systems. Insights into how predictive performance engineering is being applied in domains where speed and reliability are non-negotiable—and how to architect systems for it. Priya shares her perspective as a speaker and published researcher, and where she sees the future of intelligent infrastructure and AI-powered diagnostics heading next. Whether you're a systems engineer, ML practitioner, or enterprise leader exploring how AI can boost operational efficiency, this episode offers a powerful look at what happens when machine learning meets performance engineering. 🎧 Tune in to Episode 49 and discover how Priya is building the future of intelligent systems—one prediction at a time.