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Gaurav Nikam

Data Analyst · MCA Graduate

Pune, Maharashtra, India

@gaurav_nikam_ds

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About

Fresher data analyst with hands-on experience in Python, SQL, Power BI, Tableau, and machine learning through analytics projects and virtual internships. Built churn prediction, sales forecasting, and trading behavior analysis solutions that translated raw data into business insights.

Experience

  • DATA ANALYST INTERN (VIRTUAL / SIMULATION)
    Forage
    Jun 2025 – Jun 2025

    Completed a data analytics and forensic technology simulation, building an interactive Tableau dashboard to visualize key data trends. Classified and analyzed compensation data in Excel to draw business conclusions.

  • DATA SCIENCE INTERN (VIRTUAL)
    Forage
    Jun 2025 – Jun 2025

    Analyzed customer review data using Python and sentiment analysis to uncover key insights. Built a predictive ML model to identify factors influencing customer buying behavior.

Education

  • Master of Computer Applications (MCA)
    Sinhgad Institute of Management (SIOM)
    Computer Application · Sep 2024 – Jun 2026
  • Bachelor of Business Administration and Computer Applications (BBA-CA)
    Business Administration and Computer Applications · Jul 2021 – Apr 2024

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL DAX NumPy Python Pandas FastAPI Seaborn Streamlit Matplotlib scikit-learn Data Cleaning Microsoft Excel Feature Engineering Statistical Analysis Conditional Formatting

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git MySQL NPTEL GitHub SQLite Tableau VS Code PostgreSQL Power Query Google Colab Microsoft Excel Jupyter Notebook Microsoft Power BI

Projects

  • Trader Behavior Insights Analysis
    Python, Pandas, Seaborn, Matplotlib

    Analyzed real crypto trading data under Fear vs Greed market conditions using statistical analysis and visualization. Found that trading discipline, not market sentiment, was the key driver of consistent profits.

  • SuperStore Sales Dashboard & Forecasting
    Power BI, DAX, Python, Time Series Forecasting

    Built an interactive Power BI dashboard analyzing sales, profit, and quantity KPIs across 4 business regions. Performed EDA in Python and developed a 20-day sales forecast with 95% confidence interval.

  • Customer Churn Prediction System
    Python, SQL, Scikit-learn, FastAPI, Streamlit

    Built an ML pipeline using Logistic Regression to predict churn on 7,043 customers and identified 1,769 high-risk customers. Deployed as a live Streamlit app to analyze churn behavior.

Courses & certifications

  • Introduction to Generative AI · Google · 2025

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