Welcome

This portfolio is the multi-page web version of my resume. It brings together my work in data science education, data automation, analytics, machine learning, and engineering into a structured GitHub Pages site.

I currently work as a Data Automation Analyst at LabelNest, where I build intelligence systems and automated workflows using n8n, FastAPI, Playwright, Selenium, Python, and SQL.

Alongside my industry role, I have taught 50,000+ learners through Udacity, Unacademy, Testbook, and Eduonix, developing practical learning content in Python, SQL, Power BI, Tableau, machine learning, and analytics.

Current Focus

• Building automation-driven intelligence products
• Designing scalable data pipelines and validation workflows
• Teaching project-based data science and analytics
• Applying machine learning, experimentation, and statistical reasoning to real problems

Featured Snapshot

Recent Industry Work

• Private Market Intelligence automation at LabelNest
• Annotation intelligence workflows with Playwright and Selenium
• Contact intelligence and enrichment pipelines

Featured Technical Work

• Fraud Detection Graph Database with Neo4j and Cypher
• A/B Testing for E-Commerce using Python and Statsmodels
• Spark Data Lake on AWS
• Neural Style Transfer using PyTorch
• Sentiment Analysis with RNN and LSTM models

Navigation Tip

The top navigation bar includes separate pages for each major resume section so the live site reflects the full structure of my current resume rather than a single long page.