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Location Intelligence in Financial Services

Speakers

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Suchi Agrawal

As a Chief Data Officer with over 20 years of experience, I am passionate about harnessing the power of data and technology to drive innovation and business transformation. My career spans across data governance, AI/ML integration, cloud computing, and IT strategy, where I have successfully led large-scale digital transformation initiatives for organizations in diverse industries.

Currently leading Data Provisioning and Governance at Citibank, I specialize in creating data-driven strategies that improve efficiency, reduce operational costs, and enable smarter decision-making. I have a proven track record in building Data Visualization Centers of Excellence that empower teams with self-service analytics, accelerating insights and operational improvements. My expertise also extends to automating business processes, reducing data access time by 90%, and improving data quality through robust API solutions.

Che Guan

Naresh Dulam

Naresh Dulam is a visionary technology leader with deep expertise in data analytics, cloud computing, and artificial intelligence. With a career spanning influential roles across Healthcare, Telecom, and Financial sectors, he has led transformative analytical platforms that deliver sustainable and impactful solutions to address evolving industry needs. As a forward-thinking innovator, Naresh combines technical expertise with a passion for knowledge-sharing, mentoring aspiring professionals, and fostering ethical practices. His commitment to driving innovation and creating meaningful impact is matched by his vision of inspiring the next generation of technologists. Beyond his professional achievements, Naresh enjoys exploring nature on adventurous expeditions and empowering others to achieve their full potential

Dr. Shireesh Mishra

Senior Business Leader with nearly 20 years of multi-disciplinary experience, skilled in optimizing product performance, enhancing customer experiences, and creating competitive advantage through data, analytics, AI, and technology platforms. With a techno-functional approach, I balance analytical skills, industry expertise, commercial acumen, and leadership to drive a data-centric culture and foster innovation.

Praneeth Reddy Puchakayala

Data Scientist with 5+ years of experience in academic and industrial settings, delivering valuable insights via machine learning, data science, and analytics to increase efficiency by automating tasks. Proficient in predictive modeling, time-series forecasting, and data mining algorithms. Capable of developing, validating, deploying, and monitoring models. Hands-on experience in performing text analysis and developing NLP models. Always interested in exploring data and identifying cost-saving and efficient business opportunities through advanced insights and machine learning algorithms.

Rahul Zende

Currently focused on building language model capabilities to capture insights at NFCU - Enterprise AI Strategy

Akhil Khunger

Quantitative Modeling Specialist with over 10 years of industry experience.

Experience with statistical modeling, time series modeling, Balance sheet and PPNR modeling, PD modeling.


Extensive experience with CCAR, BOE, PRA Stress testing. Experience with Basel III and Basel IV. Passionate about utilizing technology to address business problems and devise new strategies.

Hamed

As a Senior Data Scientist at Manulife, I lead a team of data scientists while remaining hands-on in developing advanced Machine Learning and Artificial Intelligence solutions that drive business impact for the business. My leadership bridges technical execution and strategic vision, guiding the team from ideation to deployment of predictive models that directly influence decision-making.

Previously, I collaborated with the University Health Network and Princess Margaret Cancer Centre to develop AI-driven tools for survival prediction in bone marrow and liver transplant patients. My research at the University of Toronto resulted in the development of the CASE framework - a novel approach that reimagines survival analysis as a classification problem, significantly improving accuracy and interpretability.

Combining deep technical expertise with people management and stakeholder engagement, I build scalable, explainable, and business-aligned solutions that improve outcomes.