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sarabjit1003/README.md

πŸ‘‹ Hi, I'm Sarabjit Mehta Aspiring Data & Business Analyst | Passionate about solving real-world problems through data. I’m currently learning Javascript πŸ“Œ About Me

  • Final-year B.Tech student | Combining data analysis & digital marketing
  • Actively building a strong, project-based portfolio for analytics roles
  • Certified in SQL (Advanced) & Python (Basic) – HackerRank

πŸ”§ Skills

πŸ“Š Data Analytics

  • Languages: SQL, Python (Pandas, NumPy, Matplotlib), R (Basics)
  • Tools: Excel, Tableau, Power BI
  • Techniques: Data Cleaning, EDA, Cohort Analysis, A/B Testing, Segmentation

🧠 Business & Product Thinking

  • Funnel analysis, retention tracking, marketing-product alignment

πŸ“ˆ Data + Marketing Crossover

  • Google Analytics, content performance metrics, audience research, strategy

πŸ“ Projects

πŸ”Ή Resume Screener App (Python + Streamlit)

Automates resume evaluation for HRs. Upload PDF β†’ Instantly get job-fit analysis using NLP and keyword matching.

  • Tech: Python, NLP, Streamlit

πŸ”Ή Amazon Sales Dashboard (Excel)

Interactive dashboard to analyze monthly sales, profit margins, and customer trends.

  • Tech: Excel Pivot Tables, Charts, KPIs

πŸ”Ή Customer Segmentation (R + ML)
Clustered mall customers using KNN, SVM, Random Forest based on spending behavior. -Tech: R, ML models, ggplot2

πŸ”Ή User Retention Analysis (SQL + Excel)

Cohort-based analysis for a food delivery app. Uncovered drop-off patterns and recommended UX changes.

  • Tech: SQL window functions, Excel dashboards

πŸ§ͺ Certifications

  • SQL (Advanced) – HackerRank βœ…
  • Python (Basic) – HackerRank βœ…
  • Google Fundamentals of Digital Marketing βœ…

πŸ”— Connect With Me

πŸ“¬ Email Me
πŸ”— LinkedIn
πŸ“„ Portfolio (NOTION)

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  1. resume-tracker resume-tracker Public

    A smart resume screening tool that matches resumes to job descriptions using Streamlit and Python.

    Python 2

  2. amazon-sales-dashboard amazon-sales-dashboard Public

    A Tableau project analyzing Amazon sales performance through KPIs and data visualizations.

    1