Tech Risk Strategy, Operational Resilience & Resilience Analytics | Capital Planning | AI & Automation for Operational Risk | Georgia Tech | BITS Pilani
Pune, MH, India
About
I bridge the gap between technology risk, strategic planning, and the execution of high-stakes risk decisions. With an MS in Computer Science from Georgia Tech and a foundation from BITS Pilani, I specialize in architecting the data-driven frameworks that drive global technology risk and resilience strategy. My work is inherently multi-disciplinary, centered on three core pillars: Data-Driven Risk & Capital Planning, Operational Resilience Intelligence and AI & Automation Innovation which all tie into making the organization more resilient and secure.
Skills
Technology risk, capital planning and operational resilience with expertise in data engineering, BI/analytics and generative/agentic AI.
Skills
5+ years of professional experience as a Data, Analytics and Risk professional in the operational resilience and technology risk space.
Work Experience
HSBCMLPythonTensorflowPowerBIDagsterStakeholder Management
Consultant Specialist (Data Science & Analytics Engineering)
- Lead the design of risk frameworks for the Service Sustainability Program that efficiently drive $100mil+ global budget annually and improve service resilience.
- Proposed and lead the design and implementation of automated Dagster pipelines and PowerBI dashboards for Wealth & Personal Banking Risk & Resilience, automating reporting and reducing time to reporting by 80%.
- Lead developer for new Jira data maintenance tooling, empowering data owners to actively maintain data, reducing data maintenance effort by 70%.
- Pioneered the usage of advanced data practices across teams, reducing data process and reporting times by 25%.
- Mentored new graduates with hands-on guidance to build up data talent within the team.
HSBC
Senior Software Engineer (Data & Machine Learning)
- Joined as part of Global Graduate Programme.
- Worked on a Self-service Analytics platform offering multiple advanced analytics options such as Time-series Forecasting, Topic Analysis and Exploratory Analysis Reporting, increasing adoption of advanced analytics in teams by 60%.
- Supported the development of machine learning models for the CARE ecosystem for change risk prediction, reducing failed changes and downtime in teams by 40%.
- Lead the development of incident and outage forecasting models for the HOOP platform, reducing outages in teams by 30%.
Reflexis SystemsPythonDeep LearningTensorflowNLP
Data Science Intern
- Prototyped a new NLP usecase for improving retail campaigning efficiency which was showcased to executive stakeholders.
- Aided in development of deep learning models using GRUs and ResNets for aiding in better workforce management.
A strong academic background with a Master of Science in Computer Science from Georgia Tech and a Bachelor of Engineering from BITS Pilani.
Education
Georgia Tech
Master's Degree in Computer Science
Birla Institute of Technology and Science, Pilani
Bachelor's Degree in Electronics & Communications Engineering
Projects
Personal and community projects showcasing software engineering, data applications, and general development work.
Projects
Academic and research collaborations focused on predictive modeling, audio analysis, and ML-based monitoring dashboards.
Research Projects
Prof Sudha Radhika: Web/ML-based Machine Fault Monitoring
Uses machine learning to identify early-stage wind turbine faults, reducing maintenance costs and downtime. Real-time data is accessible via a web dashboard and Android app for convenient remote monitoring.
Dr Jabez Christopher: ML-based Audio Event Identification
Utilizes digital signal processing to extract audio features, applying supervised machine learning to predict and classify specific events within an audio signal.
Prof David Joyner: Student Course Feedback Prediction
Predicts student reception of course changes before they are finalized by analyzing data from previous cohorts. This allows instructors to evaluate potential impacts, choose the best modifications, and improve the overall learning experience.
Hobbies
A collection of personal interests and recreation activities to unwind.