I am Tejas Waghmare Data Analyst
Transforming complex datasets into executive clarity, high-ROI business intelligence, and scalable data models.
Marketplace Revenue Analyzed
Evaluated 30,259 NYC listings & 980K+ reviews across 5 boroughs using SQL & Power BI.
View Case Study →End-to-End Analytics Workflow
Architecting predictable, scalable data models that turn raw data into board-ready insights.
Waste & Profit Optimization
Diagnosed 16.5K transactions to pinpoint 40% waste cost leakages and restore gross margins.
View Analysis →Analytical Precision, Business Focus.
A snapshot of my background, journey, and professional data philosophy.
Passionate Data Analyst dedicated to uncovering patterns, telling compelling data stories, and driving business growth through analytics.
With a strong engineering foundation (B.Tech Mechanical Engineering, CGPA 8.04), I approach business challenges with scientific rigor. I bridge the gap between complex raw data systems and non-technical stakeholders, creating intuitive dashboards and reproducible ETL workflows.
Data Analyst Intern
Feb 2026 – Mar 2026- Built interactive Power BI dashboards, transforming raw data into actionable business insights for decision-making.
- Completed an intensive 20-hour curriculum covering data modeling, DAX, visualization best practices, and real-world BI use cases.
Project Engineer
Sep 2025 – Dec 2025- Automated Excel KPI dashboards (Pivot Tables, XLOOKUP) and developed real-time Power BI reports for executive reporting.
- Improved data integrity via cleaning, validation, and preprocessing in ERP systems; identified systemic efficiency bottlenecks.
Graduate Trainee Engineer — Emerging Tech
Nov 2025- Hands-on data analysis and visualization using Power BI, Excel, and SQL to derive actionable insights from industrial datasets.
- Studied foundational AI & Machine Learning concepts including supervised predictive modeling for business intelligence.
Featured Analytics Projects.
Real-world business intelligence dashboards, star-schema data models, and empirical data analysis.
Core Competencies.
Tools, programming languages, and analytical frameworks applied to enterprise data.
BI & Data Visualization
Executive Reporting & DashboardsData Modeling & Analytics
Spreadsheet & Semantic ModelingProgramming & SQL
Query Engineering & ScriptsEnterprise Ecosystem
Microsoft Fabric & ERP DataVerified Digital Badges.
Microsoft and McKinsey verified digital credentials via Credly registry.
Official Certifications.
Verified credentials and proofs of completion with direct verification links.
Educational Timeline.
A chronological progression of academic qualifications, numerical modeling, and engineering foundations that formed my quantitative and analytical mindset.
Bachelor of Technology (B.Tech) — Mechanical Engineering
Comprehensive 4-year engineering curriculum with rigorous emphasis on numerical mathematics, computational analysis, physical system dynamics, and data-driven optimization. Cultivated advanced quantitative logic and structural discipline applied directly to modern business intelligence pipelines and high-volume relational modeling.
Higher Secondary Certificate (HSC) — Information Technology Specialization
Specialized higher secondary track fusing core physical sciences with elective Information Technology. Introduced fundamental computing principles, logic gates, binary representations, algorithmic flowcharts, and procedural programming basics that sparked my passion for software and data systems.
Secondary School Certificate (SSC) — High Distinction
Graduated with distinguished honors (81.80%), demonstrating consistent academic excellence across core disciplines. Achieved top marks in Mathematics and Physical Sciences, laying the baseline analytical curiosity and systematic problem-solving approach.
Personal Interests & Hobbies.
The passions that fuel my creativity, strategic curiosity, and continuous learning.
Let's build
something.
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