Tejas C. Waghmare
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Hello!

I am Tejas Waghmare Data Analyst

Transforming complex datasets into executive clarity, high-ROI business intelligence, and scalable data models.

3x Certified
Microsoft Associate
Excel 3D Logo
Excel
Power BI 3D Logo
Power BI
Python 3D Logo
Python
SQL 3D Logo
SQL
Microsoft Fabric 3D Logo
Fabric
Tejas Waghmare - 3x Certified Microsoft Associate
PORTFOLIO IMPACT $389.3M

Marketplace Revenue Analyzed

Evaluated 30,259 NYC listings & 980K+ reviews across 5 boroughs using SQL & Power BI.

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METHODOLOGY 4-Stage Pipeline

End-to-End Analytics Workflow

ETL Ingestion • Star Schema • DAX Measures • Actionable ROI

Architecting predictable, scalable data models that turn raw data into board-ready insights.

REVENUE RECOVERY +15%

Waste & Profit Optimization

Diagnosed 16.5K transactions to pinpoint 40% waste cost leakages and restore gross margins.

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Analytical Precision, Business Focus.

A snapshot of my background, journey, and professional data philosophy.

PROFESSIONAL SUMMARY

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.

3+ Enterprise Credentials
50K+ Records Modeled
87% Emerging Tech Score
PROFESSIONAL EXPERIENCE

Data Analyst Intern

Feb 2026 – Mar 2026
Microsoft Elevate × AICTE Remote
  • 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
Cybernetic India
  • 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
Bajaj BEST × ASDC India Score: 87%
  • 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.
DAILY DRIVERS & TECH STACK

Tools I Use For My Work.

Core tools, analytical engines, and AI environments I leverage daily to extract data, automate pipelines, and build executive intelligence.

12 Core Tools • Live Stream
Power BI
Microsoft Fabric
MS SQL Server
PostgreSQL
VS Code
GitHub Copilot
Claude
ChatGPT
Google Gemini
Google Flow
Antigravity
Notion

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 & Dashboards
Power BI (Advanced)
DAX Calculations
KPI Dashboard Architecture
Geo-Spatial Mapping
Interactive Drill-Throughs
Report Design & UI/UX
📈

Data Modeling & Analytics

Spreadsheet & Semantic Modeling
Microsoft Excel (Power Pivot)
Star Schema Architecture
Pivot Tables & XLOOKUP
Data Cleaning & Normalization
Power Query ETL
Financial & Margin Modeling
💻

Programming & SQL

Query Engineering & Scripts
SQL (Joins, CTEs, Aggregates)
Python for Data Science
Pandas & NumPy
Data Validation Queries
Data Aggregation & Profiling
☁️

Enterprise Ecosystem

Microsoft Fabric & ERP Data
Microsoft Fabric Analytics
Lakehouse Concepts
ERP Data Pipelines
Predictive Analytics Basics
Business Intelligence Delivery

Verified 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.

Tejas C. Waghmare
Graduation - Fully Grown Plant
2020 – 2024
UNDERGRADUATE DEGREE 4 Years • Full-time
8.04 /10
CUMULATIVE CGPA First-Class Honors

Bachelor of Technology (B.Tech) — Mechanical Engineering

Bajaj Institute of Technology (BIT), Wardha • Dr. Babasaheb Ambedkar Technological University (DBATU)

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.

KEY COURSEWORK & COMPETENCIES:
Numerical Analysis Engineering Mathematics Applied Statistics Computational Modeling Thermodynamics & Heat Transfer System Optimization CAD / CAE Simulation
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Mathematical Rigor for Data Analytics

Extensive study in differential equations, multivariate calculus, and linear algebra that formed the mathematical framework for statistical modeling, algorithmic indexing, and forecasting.

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Systems Thinking & Optimization

Analyzed multi-variable constraints and complex mechanical systems — directly transferable to designing 3NF/Star-Schema dimensional data warehouses and optimizing high-load SQL queries.

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First-Class Distinction (8.04 CGPA)

Maintained consistent top-tier academic merit across all 8 semesters, collaborating on interdisciplinary technical symposiums and numerical computing labs.

HSC Education - Adult Plant
2018 – 2020
HIGHER SECONDARY 2 Years • Science & IT
66.6% Score
BOARD PERCENTAGE IT Stream Focus

Higher Secondary Certificate (HSC) — Information Technology Specialization

Maharashtra State Board of Secondary & Higher Secondary Education • Science Stream

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.

KEY COURSEWORK & COMPETENCIES:
Information Technology Boolean Algebra & Logic Computer Fundamentals Data Representation Applied Physics Advanced Calculus
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Early Computing & IT Foundations

Hands-on lab work in networking basics, operating system mechanisms, and structured digital workflows.

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Physical & Analytical Sciences

Developed rigorous hypothesis testing, empirical data recording, and quantitative laboratory analysis.

SSC Education - Child Plant
2018
SECONDARY SCHOOL Foundational
81.8% Score
BOARD PERCENTAGE High Distinction Grade

Secondary School Certificate (SSC) — High Distinction

Maharashtra State Board of Secondary & Higher Secondary Education • General Sciences & Mathematics

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.

KEY FOUNDATIONS:
Advanced Algebra Geometry & Spatial Logic General Physical Sciences Scientific Methodology Quantitative Reasoning
⭐
Distinction Merit Award

Scored above 80th percentile across the state board, awarded first-class with distinction honors.

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Mathematics Aptitude

Consistently scored highest marks in algebraic manipulations, mathematical proofs, and quantitative problem sets.

Personal Interests & Hobbies.

The passions that fuel my creativity, strategic curiosity, and continuous learning.

Tejas C. Waghmare - Data Analyst & BI Specialist
AVAILABLE FOR OPPORTUNITIES

Tejas C. Waghmare

Data Analyst & BI Specialist

Microsoft Certified Power BI • SQL • Fabric
START A PROJECT

Have an analytics project, business intelligence challenge, or an opportunity? Click the heading above or tap below to open the contact form and start a conversation.

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Executive BI Dashboards End-to-End SQL Pipelines Star-Schema Modeling Microsoft Fabric & Cloud