SQL · Python · Power BI · Predictive Analytics · Data Engineering
I turn complex data into accurate, accessible, and actionable business insights through analytics, automation, data modeling, and business-intelligence reporting.
- 📍 St. Louis, Missouri
- 💼 Data Analyst at Honeywell
- 🎓 M.S. in Information Systems, Saint Louis University
An end-to-end Python analytics case study using 800 synthetic customer records to demonstrate data-quality assessment, customer segmentation, visualization, and interpretable churn modeling.
Highlights: 20.38% observed churn rate, segment-level churn analysis, reproducible preprocessing pipeline, logistic regression, and 0.8237 ROC AUC.
Skills: Python pandas Matplotlib scikit-learn Data Cleaning EDA Classification Model Evaluation
A complete SQLite analytics project demonstrating relational schema design, synthetic data generation, data-quality validation, KPI development, profitability analysis, and executive reporting.
Highlights: 17 completed orders, $7,622.33 net revenue, $3,090.33 gross profit, 40.54% gross margin, and 41.67% repeat-customer rate.
Skills: SQL SQLite Data Quality CTEs Joins KPI Analysis Business Insights
A documented Express.js REST API that serves structured product data from JSON and demonstrates backend routing, API fundamentals, and organized project documentation.
Skills: Node.js Express REST API JavaScript JSON
My work spans the analytics lifecycle, including data extraction, transformation, validation, modeling, reporting, and stakeholder communication.
I have experience with:
- Building analytical workflows using SQL and Python
- Developing Power BI dashboards and KPI reporting
- Automating ETL and recurring reporting processes
- Supporting forecasting and predictive-analytics use cases
- Working with industrial, enterprise, and healthcare-related data
- Translating business requirements into practical data solutions
Before Honeywell, I progressed from Data Analyst Intern to Senior Data Analyst at Stonedge Technologies and Robotics, contributing to reporting automation, forecasting workflows, and scalable analytics practices.
SQL Python Power BI Excel Data Visualization KPI Reporting Statistical Analysis
ETL Data Cleaning Data Validation Data Modeling Pipeline Automation Data Quality
Predictive Analytics Forecasting Classification Model Evaluation NLP
JavaScript Node.js Express MongoDB React REST APIs Jest
January 2025 – Present | St. Louis, Missouri
Supporting industrial and enterprise analytics through data pipelines, analytical models, KPI reporting, and business-intelligence solutions.
October 2021 – December 2023 | India
Contributed to reporting automation, forecasting workflows, data analysis, and scalable data practices.
April 2021 – October 2021 | India
Supported data preparation, analysis, reporting, and workflow-improvement initiatives.
Master of Science in Information Systems
Saint Louis University
Bachelor's Degree in Computer Science
Jawaharlal Nehru Technological University
Portfolio projects use public or synthetic data. Employer code, internal systems, customer information, and confidential data are not shared.
I am interested in professional conversations and opportunities involving data analytics, business intelligence, data engineering, machine learning, healthcare analytics, and industrial analytics.