About me

Motivated Computer Science graduate specializing in Data Science with practical experience in Excel, SQL, Python (NumPy, Pandas, Matplotlib, Seaborn), Power BI, and AWS. I build interactive dashboards, automate data workflows, and tell clear stories through data.

Recent projects: an Excel Call Center Dashboard, KFC Sales Analysis, SQL Music Store analysis, Customer Segmentation (K-Means), and a Live Weather Dashboard in Power BI. I enjoy building production-ready dashboards and improving them based on user feedback.

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What I'm doing

  • Data Analysis icon

    Data Analysis

    Cleaning, modeling and visualizing data to identify insights and drive decisions.

  • Dashboards icon

    Interactive Dashboards

    Excel & Power BI dashboards with KPIs, slicers and drill-throughs.

  • SQL icon

    SQL & Databases

    Query design, joins, aggregations and performance-aware reporting.

  • Automation icon

    Automation

    Python scripts for ETL, cleaning and dashboard updates.

Resume

Education

  1. B.Sc. in Computer Science — SIES (NERUL) College

    Apr 2023 — Present

    CGPA: 8.6/10 — Navi Mumbai, India

  2. Higher Secondary Certificate (Science - IT)

    Jun 2021 — Apr 2023

    Dr Babasaheb Ambedkar College — Chembur, Mumbai (53%)

Projects

  1. Call Center Performance Dashboard (Excel)

    2025

    KPIs, trend analysis, slicers and agent-level drilldowns to evaluate efficiency and SLAs.

  2. KFC Sales Analysis Dashboard (Excel)

    2025

    Sales patterns, best-sellers, seasonality and store-level comparisons to inform promotions.

  3. SQL Music Store Data Analysis

    2024

    Customer purchase trends, revenue segmentation and artist popularity via SQL queries and joins.

  4. Shopping Customer Segmentation (K-Means)

    2024

    Unsupervised learning to cluster customers for targeted marketing and retention strategies.

  5. Live Weather Dashboard (Power BI)

    2024

    Real-time API integration, map visuals and alert cards for weather monitoring dashboards.

Certifications

  1. Python for Data Science — IBM (Cognitive Class)

    2024

  2. Introduction to Data Analysis — Simplilearn

    2024

My skills

  • Excel (Advanced)
    90%
  • SQL (MySQL/PostgreSQL)
    85%
  • Python (NumPy, Pandas, Matplotlib, Seaborn)
    80%
  • Power BI
    80%
  • AWS (Foundational)
    60%
  • Data Storytelling & Visualization
    85%

Contact

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