Location Intelligence in Financial Services
Speakers
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Shuchi Agrawal
Global Head of Data Tooling Adoption, Metrics Provisioning, Automation
Citi

Che Guan
Principal Data Scientist
Alliance Bernstein

Naresh Dulam
VP Software Engineer
JP Morgan

Dr. Shireesh Mishra
Director Head of Portfolio Analytics
Citi

Praneeth Reddy Amudala Puchakayala
Data Scientist
Regions Bank

Rahul Zende
Principal Data Scientist
Navy Federal Credit Union

Akhil Khunger
VP Quantitative Analytics
Barclays

Hamed Shourabizadeh
Senior Data Scientist
Manulife
Suchi Agrawal
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.
Naresh Dulam
Dr. Shireesh Mishra
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.
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.