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Pranav Tetali

Data Analyst/Business Intelligence & Analytics

Data analyst with an MSBA from SMU Cox and 3 years of experience building SQL data audits, Python ETL pipelines, star schema data models, and executive Power BI and Tableau dashboards; strong record of translating analysis into stakeholder decisions and measurable business outcomes.

Frisco, TX

3
Years in analytics
30K+
Records audited
5,000+
Players modeled
500+
Contracts parsed

01 — About

Turning messy data into decisions people act on

Data analyst with an MSBA from SMU Cox and 3 years of experience building SQL data audits, Python ETL pipelines, star schema data models, and executive Power BI and Tableau dashboards; strong record of translating analysis into stakeholder decisions and measurable business outcomes.

01

Data quality first

Audits, validation rules, and reconciliation across source systems — because a dashboard is only as trustworthy as the rows behind it.

02

Pipelines that hold up

Python ETL that turns messy PDFs, exports, and legacy tables into clean star schemas ready for modeling.

03

Decisions, not just charts

Power BI and Tableau built around the question a stakeholder is actually trying to answer, with the measures to back it.

Outside of work

  • Saxophone
  • Tennis
  • Boxing
  • Dallas Cowboys
  • Dallas Mavericks
  • Golf
  • Reading

02 — Experience

Where I've done the work

Consulting, product analytics, and data quality roles across retail brokerage, staffing, and IT services.

  1. Data Analytics Consultant

    Jan 2026 – May 2026

    Epic Sales Partners·Irving, TX

    • Led a 4-person team to build a broker contract analytics platform for a $1B+ retail food brokerage, using 10 years of shipment and commission data to model vendor performance and provide C-Suite visibility into broker relationships.
    • Engineered a Python pipeline to extract and standardize 500+ broker agreements across 3 product categories from PDFs, outputting a star schema covering commission, retailer networks, zone coverage, and contract metadata.
    • Developed an executive Power BI dashboard with DAX measures and What-If parameters linking contract metadata to financials, creating visibility into vendor performance against targets across the initial 90-day revenue lifecycle.
    • Python
    • Power BI
    • DAX
    • Star Schema
  2. Business Systems & QA Analyst

    Sep 2024 – May 2025

    Revature·Reston, VA

    • Owned creation and prioritization of 15 user stories per sprint for customer-facing features; aligned backlog with business goals across 12 sprints, maintaining a 98% on-time delivery rate.
    • Analyzed 500+ usability assessments, surfacing insights that influenced feature prioritization decisions and contributed to a 50% reduction in user drop-off.
    • Overhauled defect logging and capture through structured root cause analysis and Jira-based tracking workflows, closing gaps in how QA, development, and product teams tracked and triaged issues.
    • Automated recurring data collection and centralized performance reporting on AWS, reducing QA cycle time by 40% and cutting manual reporting overhead by 72 hours per week for a team of 10.
    • Agile
    • Jira
    • AWS
    • Automation
  3. Data Analyst

    Aug 2022 – Sep 2024

    Qualinfotech Solutions Inc.·Dallas, TX

    • Audited 30,000+ records across 3 databases using SQL to surface duplicate entries and errors; implemented validation rules and process improvements that increased data accuracy by 15% and cut executive reporting errors by 30%.
    • Built a Python ETL pipeline validating data across 3 source systems, resolving 20+ schema mismatches; reduced manual data preparation time by 35% and migrated cleanly from Excel to AWS DocumentDB.
    • SQL
    • Python ETL
    • Data Quality
    • AWS

03 — Projects

Selected projects

A mix of graduate coursework and self-directed builds where I owned the data model, the pipeline, and what ships to a user.

Oct 2025 – Dec 2025

MLB Scouting & Roster Intelligence Platform

A relational scouting database and analytics dashboard covering every MLB organization, paired with an AI assistant that answers roster questions in plain English.

  • Designed a normalized relational database of 5,000+ MLB and minor league players spanning 5 league levels, and built an analytics dashboard with 15+ filterable metrics across player type, season, league level, team, and position.
  • Developed an AI scouting assistant (RAG via Chroma) with natural-language-to-SQL querying to evaluate trades, call-ups, and roster construction across all 30 MLB organizations.
  • SQL
  • Python
  • RAG
  • Chroma
  • Dashboard

May 2026 – Present

Mollycoddle — AI Document Extraction for Pet Health Records

A cross-platform mobile app that turns photographed or scanned health records into structured, deduplicated data. Built and shipped solo, from the extraction backend to the app in testers' hands.

  • Built a schema-constrained extraction service on Cloudflare Workers that parses photos and PDFs of vaccination sheets and medication labels into validated JSON records, keeping the API credentials server-side rather than in the client.
  • Designed a review-and-reconcile flow that matches extracted records against existing entries and defaults to updating rather than duplicating, with per-record override, so bulk imports do not fragment a pet's history.
  • Modeled dose scheduling, vaccination due dates, and product expiration as separate date logics over a shared day-math layer, driving reminder notifications and overdue flagging.
  • Shipped to real testers on Android via internal distribution, with iOS TestFlight in progress.
  • Document Extraction
  • JSON Schema
  • Claude API
  • Cloudflare Workers
  • React Native

04 — Skills

Tools I reach for

The stack I use to go from raw source systems to a dashboard an executive can read in thirty seconds.

Languages & Querying

  • SQL
  • Python
  • DAX
  • Excel

Visualization & BI

  • Power BI
  • Tableau

Data Engineering

  • ETL Pipelines
  • Data Modeling (Star Schema)
  • Alteryx
  • Microsoft Fabric
  • Databricks

Analytics & Modeling

  • Regression & Predictive Modeling
  • Statistical Analysis
  • K-means Clustering
  • RAG / NL-to-SQL

Platforms & Process

  • AWS
  • Jira
  • Agile Development

Certifications

  • AWS Cloud Technical Essentials
  • Tools for Data Science
  • Python for Data Science
  • AI & Development

05 — Education

Education

Southern Methodist University, Cox School of Business

May 2026

Master of Science in Business Analytics

Dallas, TX

Cox Consulting Club · Cox Operations and Analytics Club · Cox Indian Professional Network Club · Cox Golf Club

University of Houston, Cullen College of Engineering

Dec 2022

Bachelor of Science, Computer Information Systems

Houston, TX

Cum Laude · Dean’s Honor List

06 — Contact

Let's talk data

I'm open to data analyst and business intelligence roles now. The fastest way to reach me is email.

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