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Sreeharipavithran/README.md

🧠 About Me

sreehari = {
    "role"        : "Data Quality Engineer @ Data Radian Technologies",
    "experience"  : "4+ years in Data Analytics, Quality & Governance",
    "domain"      : "Enterprise Data Platforms | Banking & Finance | GRC",
    "stack"       : ["Snowflake", "DBT", "SQL", "Python", "Tableau", "Data Vault 2.0"],
    "strengths"   : ["Data Validation", "QA Automation", "Governance Frameworks"],
    "currently"   : "Expanding into Analytics Engineering & AI-driven Data Workflows",
    "fun_fact"    : "Automated workflows that cut manual effort by 80% 🚀"
}

💡 I don't just move data — I make sure it's trustworthy, accurate, and decision-ready at every layer of the pipeline.

💼 Professional Journey

🏢 Data Quality Analyst

Data Radian Technologies Pvt Ltd Apr 2025 – Present · Remote · Hyderabad

  • ✅ Lead end-to-end data validation & certification for enterprise platforms on Data Vault 2.0
  • 🔍 Validated Hubs, Links, Satellites, Business Vault & Infomart layers — key mapping, historization logic, and business rules
  • ⚙️ Automated QA checks using DBT macros & Jinja templates, reducing manual effort during Agile sprints
  • 📊 Performed Tableau dashboard testing — KPI validation, extract refresh checks, filter/parameter testing
  • 🛡️ Achieved >95% model certification rate within sprint deadlines; zero unresolved issues to production
  • 🐛 Logged >90% of defects with SQL evidence in Jira; resolved in collaboration with Data Engineers
  • 🏷️ Ensured >95% naming convention compliance across all assigned models

🏢 Senior Data Analyst / GRC Analyst

Quinte Financial Technologies, Inc. Nov 2022 – Apr 2025 · Chennai · On-site

Client: Axos Bank & Axos Clearing (US Banking)

  • 📈 Boosted compliance audit scores by +15% and reduced breaches by 30%
  • 🔄 Built Transition Matrix in Tableau for ERM team — reduced review time by 60%
  • 🤖 Automated Tableau datasource extraction via Python, improving efficiency by 80%
  • 🏦 Led BSA Council Project — automated high-risk customer monitoring, +40% processing efficiency
  • 📉 Engineered delinquency tracking features with Python + SQL + Tableau — 30% faster reporting
  • 🔗 Collaborated with EDW & Data Engineering teams on ETL pipeline enhancements
  • 🧪 Conducted UAT using Python, SQL, and DBT for data quality validation pre-production
📌 Earlier Experience — Data Analyst Intern @ Let's Go For A Camp (Jan–Jun 2022)
  • Identified loyal peer customers (5+ consecutive years) and tracked discount patterns
  • Built Tableau dashboards showcasing most-purchased packages by region and season — 20% faster KPI discovery

🛠️ Tech Stack & Tools

Data & Cloud

Snowflake DBT SQL Azure

Languages

Python Pandas NumPy

Visualization & Reporting

Tableau Excel SSRS

Dev & Workflow

Jira Jupyter VS Code Git

📊 Key Achievements at a Glance

Metric Achievement
🧪 QA Automation Reduced manual validation effort significantly via DBT macros & Jinja
✅ Certification Rate >95% of Raw Vault & Business Vault models certified within sprint timelines
🛡️ Production Quality Zero unresolved data quality issues transitioned to certified layer
📋 Defect Documentation >90% of defects logged with SQL evidence in Jira
⏱️ Review Efficiency 60% reduction in ERM review time via Tableau Transition Matrix
🤖 Automation Impact 80% improvement in data extraction efficiency via Python
📈 Compliance +15% audit score improvement, 30% fewer compliance breaches
🎯 Risk Accuracy +25% improvement in risk assessment accuracy

🚀 Featured Projects

📱 Ideal Product Detection

PG Diploma Capstone Project

End-to-end ML pipeline to detect the most ideal flagship smartphones (2020–2022)

  • 🔧 Feature engineering on 69 devices, 21+ fields
  • 🤖 Voting Regressor (R² = 0.77)
  • 🌐 Streamlit price predictor web app
  • 📋 Google Form survey → ideal spec analysis
  • 📊 Interactive Tableau dashboard

View Project Tableau

🧪 Data Science & ML Projects

DevTown Training Portfolio

Classification and NLP pipelines on real datasets

  • ✈️ Airline customer satisfaction — Random Forest + RFE (800 estimators)
  • 🎬 IMDB movie sentiment — Naive Bayes NLP pipeline (25K reviews)
  • 📊 CountVectorizer, Porter Stemming, confusion matrix analysis

View Project

✈️ Customer Satisfaction Dashboard

Excel Analytics Project

Interactive Excel dashboard for airline customer satisfaction analysis

  • 📈 KPI tracking and segmentation
  • 🔍 Service quality analysis across categories
  • 📊 Dynamic pivot-driven visualizations

View Project

📈 GitHub Stats

GitHub Streak

🎓 Education & Certifications

Qualification Institution Year
🎓 PG Diploma in Data & Business Analytics Mahatma Gandhi University 2021–2022
🎓 B.Sc. Physics Deva Matha College, MGU 2017–2020
📜 Data Science Internship Certificate DevTown May–Oct 2022

🧭 Currently Focused On

📌 Analytics Engineering     →  Snowflake + DBT pipelines at scale
📌 Data Quality Automation   →  AI-assisted validation frameworks
📌 Modern Data Stack         →  Data Vault 2.0 + DataOps practices
📌 Open Source Contributions →  Data quality & testing tools

"Data is only as good as its quality. I make sure it's worth trusting."

⭐ If my work interests you, let's connect on LinkedIn!

Popular repositories Loading

  1. PG-Diploma-Project-2022 PG-Diploma-Project-2022 Public

    End-to-end ML project: detects ideal flagship smartphones using feature engineering, Voting Regressor price prediction, Google Form survey analysis, Streamlit web app, and Tableau interactive dashb…

    Jupyter Notebook

  2. DevTown-Data_Science_Training-Project DevTown-Data_Science_Training-Project Public

    ML projects: Airline customer satisfaction classification (Random Forest + RFE) & IMDB movie sentiment analysis (Naive Bayes NLP pipeline)

    Jupyter Notebook

  3. excel-customer-satisfaction-dashboard excel-customer-satisfaction-dashboard Public

    Interactive Excel dashboard analyzing airline customer satisfaction with segmentation, service quality insights, and data-driven recommendations.

  4. Sreeharipavithran Sreeharipavithran Public