I turn messy, complex data into clear insights that help teams make smarter decisions. Specializing in Power BI, Tableau, SQL, and Python — with a passion for data storytelling that connects numbers to real business impact.
I'm a graduate student earning my M.S. in Data Analytics at Clark University (GPA 3.85) and a Data Analytics professional with roots in both business and engineering. My journey spans SaaS, Healthcare, HR, Hospitality, and Consumer Analytics — and one common thread runs through all of it: making data usable for the people who need it most.
At Vosyn, I built Power BI dashboards and predictive pricing models. At Vistaar Digital, I automated reporting pipelines that saved 13+ hours per cycle. I'm also a co-author on a published research paper about AI-enabled learning systems (SMARTSETGO).
What sets me apart isn't just technical fluency — it's the ability to sit across from a business stakeholder, understand their real question, and come back with a clear, compelling answer built from data.
My mission is to advocate for scalable, data-driven solutions that don't just report the past — they illuminate the path forward.
Executive-level KPI dashboards in Power BI and Tableau that translate complex operations into actionable insights
Regression, clustering, and classification models applied to pricing strategy, attrition, and healthcare operations
Reduced report generation from 15 hours to 2 hours by automating ETL pipelines with Python and Power BI
Translating ambiguous business questions into structured BI specifications that decision-makers can act on
Co-author on SMARTSETGO — an AI-enabled Learning Management System published in IJISRT
Leading strategic direction, events, and partnerships for a 20+ member technical student organization
A full-stack data skill set spanning analytics, visualization, machine learning, and business analysis.
A track record of delivering data-driven insights across industries, from SaaS pricing analytics to digital marketing intelligence.
Real-world analytics across healthcare, HR, climate, hospitality, and retail — each project built to drive decisions, not just describe data.
Visualized 48,000+ listings using Python and Tableau to uncover trends in pricing, reviews, and availability across NYC boroughs. Delivered actionable host strategy recommendations to optimize revenue and occupancy.
Built a Business Intelligence solution for UnitedHealthcare using synthetic Kaggle data. Analyzed patient outcomes, billing efficiency, and resource optimization using SQL Server, Excel, and Power BI to model real operational insights.
Created advanced Tableau dashboards featuring bump charts, donut charts, bullet charts, and what-if sliders to reveal how education level, occupation, and country affect sales performance. USA and Australia dominated global profit shares.
Analyzed attrition for 1,480 employees (16.1% rate). Identified peak attrition in the 26-35 age group, Life Sciences education, and higher male churn. Delivered retention recommendations with statistical backing.
Comprehensive analysis of CO₂ emissions, extreme weather, sea level rise, forest coverage, and renewable energy across nations. Highlights urgent policy gaps and correlations between temperature rise and extreme weather frequency.
Used the Pima Indians Diabetes Database (UCI ML Repository) to build a classification model predicting diabetes risk from glucose, blood pressure, BMI, and other clinical features with feature engineering and validation techniques.
Comprehensive analysis of Netflix's content library: most prolific directors, content distribution by country, highest-rated titles, and genre frequency. Includes data cleaning, deduplication, and insight extraction via SQL and Python.
Interactive KPI dashboard analyzing revenue, order volume, and product mix from 2015 sales data. Time-trend charts and category filters helped identify top-performing pizza types, sizes, and marketing-ready insights for operators.
Developed an IoT + ML (KNN) waste management system achieving 96.875% accuracy. Smart dustbins alert maintenance personnel when full, supporting the Swachh Bharat Mission through data-driven sanitation management.
Continuous learning across BI, data engineering, machine learning, and cloud platforms.
Co-authored a peer-reviewed paper on an AI-enabled Learning Management System featuring face recognition login, a real-time text editor, and a Q&A forum — designed to bridge traditional and modern learning in response to COVID-era educational challenges.
Microsoft
Microsoft
LinkedIn Learning
Forage
Forage
Forage
Google Digital Academy (Skillshop)
Pantech.AI
Great Learning
Great Learning
Coursera
Coursera
Anthropic
Anthropic
I'm actively seeking roles as a Data Analyst, BI Analyst, Business Analyst, or Research/Operations Analyst. If you're looking for someone who can translate complex data into clear decisions — let's talk.