class DataAnalyst:
def __init__(self):
self.name = "Arun Pandian"
self.role = "Data Analyst | Fresher SDE"
self.location = "Tamil Nadu, India 🇮🇳"
self.code = ["Python", "SQL", "JavaScript"]
self.tools = ["Power BI", "Tableau", "Excel", "Snowflake", "BigQuery"]
self.current = "SQL Job Market Analysis — 90,000+ postings decoded 🔍"
def say_hi(self):
print("Thanks for dropping by! Let's turn data into decisions. 📊")
DataAnalyst().say_hi()
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💡 These counters pull live from the GitHub API — no manual updates needed as contributions grow.
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Reverse-engineered 90,000+ job postings with advanced SQL — window functions, CTEs & aggregations — to uncover top-paying roles, in-demand skills & optimal skill combos for freshers.
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DA-GRL framework on the CHB-MIT dataset with SHAP/LIME explainability — targeting IEEE/Scopus publication. Deep learning meets interpretable healthcare AI.
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End-to-end n8n automation workflow that parses resumes, scores them against job descriptions with GenAI, and outputs ATS-optimized rewrites automatically.
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13+ portfolio projects spanning Power BI dashboards, SQL analysis, NLP automation & statistical analysis — each with verified datasets and business-ready insights.
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| 💻 Workspace | 📊 Level | 🎯 Target |
|---|---|---|
SQL ██████████ |
Advanced | Query Optimization Master |
Python (Pandas/EDA) █████████░ |
Advanced | Production Pipelines |
Power BI / DAX ████████░░ |
Proficient | Enterprise Dashboards |
Tableau ███████░░░ |
Proficient | Story-driven Dashboards |
Snowflake / BigQuery █████░░░░░ |
Learning | Cloud Data Warehousing |
GenAI / LLM Tooling ████████░░ |
Proficient | AI-Powered Analytics |
Badges below are placeholders — swap in real ones as each milestone lands, no layout changes needed.
