Dr. Pooja Chaturvedi Sharmaa is an accomplished academician and Assistant Professor of Finance at Apeejay School of Management, Delhi, with over 13 years of teaching experience. Holding a Ph.D. in Finance, she specializes in behavioral finance, investment decision-making, sustainable finance, and corporate governance. Throughout her career, Dr. Pooja has demonstrated exceptional leadership, serving as Area Chair for Finance and contributing actively to various institutional committees, including International Relations, Alumni Relations, and Outcome-Based Education. She has co-convened national and international conferences, developed innovative teaching pedagogies, and spearheaded collaborations with renowned organizations like FPSB, KPMG, and S&P Global. A lifetime member of several prestigious professional associations, she is also a prolific researcher with 25 published research papers, multiple book chapters, and editorial board memberships for reputed journals like the Journal of Commerce and Accounting Research. Her excellence in academia has been recognized with numerous awards, including Best Paper Awards and the Rashtriya Pratishtha Puraskar. Additionally, Dr. Pooja has served as a resource person for over 50 webinars, workshops, and FDPs, influencing students and professionals alike. Beyond academics, she has contributed to online education through consultancy roles with IIM Bangalore and has chaired sessions at international conferences in Ghana and Turkey. Her passion for nurturing talent is evident in her mentorship of over 500 students and Ph.D. candidates at Amity University Haryana. Committed to continuous learning, she has pursued specialized courses from institutions like IIM Bangalore, IIT Kharagpur, and Erasmus University Rotterdam. Dr. Pooja's career is distinguished by her dedication to excellence in teaching, research, and holistic student development.
Dr. Pooja Chaturvedi Sharmaa’s research interests focus on behavioral finance, investment decision-making, financial markets, and sustainable finance. She is particularly passionate about corporate governance and emerging investment strategies.
Money Meets Machine: How Big Data Is Transforming Investment Strategies
Data has become the ultimate competitive advantage in today’s hyper-connected financial world. “Money Meets Machine: How Big Data Is Transforming Investment Strategies” explores how integrating advanced data analytics, machine learning, and AI is revolutionizing investment decision-making at an unprecedented scale.
Traditional portfolio construction, risk management, and asset allocation methods are being rapidly reshaped. Investors increasingly depend on alternative data — from satellite imagery and social media sentiment to geolocation and consumer transaction data — to gain real-time insights and predict market movements with greater precision. Big Data empowers investment managers to uncover hidden patterns, optimize strategies, and move beyond conventional financial indicators.
The session will explore how machine learning and predictive analytics create a seismic shift in financial services. Algorithms capable of self-learning are not only automating trade execution but also personalizing investment advice at a granular level, leading to the hyper-customization of financial products tailored to individual risk profiles and life goals.
However, the journey is not without challenges. The explosion of data brings concerns of data overload, algorithmic bias, and ethical dilemmas. Misinterpreting complex datasets or over-relying on automated systems could introduce systemic risks. As the financial world becomes more algorithmic, this session will emphasize the critical need to balance automation with ethical considerations and human oversight.
Additionally, the talk will highlight the evolving role of financial professionals. In a world increasingly dominated by machines, the future finance leader must be a hybrid: combining deep financial knowledge with data science literacy, critical thinking, and ethical decision-making skills.
This session aims to provide valuable insights for financial professionals, data scientists, and technology leaders by critically analyzing the opportunities and pitfalls of Big Data-driven finance. Delegates will gain an understanding of how smart data utilization is not only enhancing investment performance but also fundamentally transforming the culture, strategy, and operational frameworks of the financial industry.
As finance and technology continue to converge, it becomes clear: in the near future, success will belong to those who can best leverage both money and machine — using data not just as a tool but as a foundation for innovation, resilience, and sustainable growth.