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Data Analyst with 5+ years in Customer Analytics & AI
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Assessing your cultural and operational fit
Data Analyst with 5 years of experience in customer analytics and intelligence, specializing in churn reduction, pipeline prediction, and process improvement. Proficient in a wide array of analytics methods including regression, cohort analysis, time-series forecasting, and customer segmentation, utilizing tools like Python, SQL, Tableau, and emerging AI technologies such as OpenAI, Claude, LangChain, and RAG Pipelines. Proven ability to translate complex data into actionable insights and executive-level recommendations, contributing to significant ARR growth and efficiency gains.
Northeastern University
MS · Information Systems
N/A – June 30, 2025
Amrita Vishwa Vidyapeetham
Bachelor of Engineering · Computer Science
N/A – Present
Onyva Solutions
Data Analyst, Customer Analytics
January 1, 2021 – December 31, 2023
Boston, Massachusetts, United States
Cognizant Technology Solutions
Data Analyst, Customer Intelligence
January 1, 2020 – December 31, 2021
India
Flight Delay Prediction
June 25, 2026 – Present
Improved prediction reliability by building end-to-end classification models on 98,000+ flight records with full feature engineering and model evaluation (Accuracy, Precision, Recall, F1-Score), reducing misclassification on the highest-risk flight segments.
Madison Agent
June 25, 2026 – Present
Built an autonomous AI agent with a FAISS-backed RAG pipeline using LangGraph and FastAPI, enabling natural language querying over large document corpora and demonstrating applied knowledge of AI-powered data pipelines and semantic search for unstructured data.
HealthPulse Analytics
June 25, 2026 – Present
Quantified a $8.1M revenue gap across 7 payer types via cohort and leakage analysis, flagging Medicaid at 36.7% gap rate and surfacing Orthopedics (9.3%) and Emergency (9.2%) as highest denial departments through 48-month time-series forecasting. Predicted 30-day readmission risk by training 3 classification models on 18K+ claims and deployed a 6-chart Plotly Dash executive dashboard tracking collection rate (76.9%), denial rate (8.2%), and readmission trends for non-technical stakeholders.
Generative AI for Developers
Pearson / Coursera
June 1, 2026 – Present
AZ-900 Azure Fundamentals
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from healthcare analytics to AI agents and flight prediction, shows a broad interest and adaptability. Their experience in customer analytics roles aligns well with typical data analyst functions, and the inclusion of AI/ML projects suggests a forward-thinking approach. The certifications in Generative AI and Azure Fundamentals further indicate a commitment to continuous learning and staying current with industry trends, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through their ability to present complex data to C-suite and non-technical stakeholders. Their project descriptions highlight a results-oriented approach and the capacity to independently own workstreams, indicating good operational fit. The focus on business impact (e.g., reducing churn, improving prediction accuracy) suggests a pragmatic and value-driven mindset.