The person behind the projects.
Data-focused analyst turning raw datasets into clear, actionable insight — from KPI dashboards and statistical analysis to predictive modeling and stakeholder-ready reporting. Comfortable across the full analytics stack, and equally effective explaining findings to technical and non-technical audiences alike. Currently Product and Research Analyst at Ethicent, working across US banking and financial compliance research.
Product and Research Analyst
Ethicent, Bengaluru (Remote/Hybrid)Conduct research and lead structured discussions with subject-matter consultants to synthesize domain insights across compliance topics, producing reports used for internal decision-making. Coordinate and host client-facing webinars end-to-end, translating research into clear, audience-ready content, while building and maintaining client and consultant relationships.
Data and AI Operations Intern
MetaBit (Remote, part-time)Support data and AI operations for an early-stage startup alongside the primary role at Ethicent — processing datasets and running quality and calibration checks on AI-generated outputs to catch inconsistencies before delivery.
Machine Learning Intern
Tripple One Solutions, RemoteSourced, cleaned, and preprocessed datasets from 5+ sources in Python, writing validation checks that improved downstream model accuracy. Developed and unit-tested ML components (TensorFlow, Pandas, NumPy) to surface patterns and debug issues across large datasets — hands-on experience with data mining at scale.
Web Development Intern
Cognifyz Technologies, RemoteEngineered and maintained 3+ client-facing web applications, rapidly learning new frameworks and delivering all milestones on schedule.
Business Development Associate
Intellipaat, RemoteExplained technical course offerings to non-technical leads over calls, translating complex information into clear, goal-relevant insights while pitching and qualifying leads daily.
B.Tech, Computer Science and Engineering
KIIT, Bhubaneswar, OdishaCGPA 7.70/10. Certified in AI by IIT Kanpur; active GitHub portfolio across backend systems, RAG pipelines, and data engineering.
Frame the question
Before touching a dataset: what decision does this change, and for whom? I frame the objective and the metric that actually matters.
Interrogate the data
Profiling, validation checks, distribution checks. Most model and dashboard failures are data failures wearing a disguise.
Analyze and validate
Honest baselines first, statistical rigor throughout. A/B tests, regression, and predictive models — validated, not just fitted.
Report and deliver
An insight nobody understands is not an insight. I build the dashboard, report, or webinar that makes it actionable for the room it's presented to.