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Varun Khatake

AI & Data Science graduate · Aspiring Data Analyst / Data Scientist

Pune, Maharashtra, India

@varun_khatake

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About

AI & Data Science graduate with hands-on experience in data analysis, visualization, and machine learning. Proficient in Python, SQL, Tableau, and Power BI, with internship and project experience building predictive models and interactive dashboards.

Experience

  • Tableau Analyst Intern
    Tableau
    Jan 2024 – Apr 2024

    Developed interactive Tableau dashboards with dynamic filters, parameters, and user inputs to support business reporting. Identified trends, patterns, and actionable insights by applying data visualization and storytelling best practices. Collaborated with team members to design user-friendly dashboards and improve overall reporting efficiency. Analysed datasets to surface key performance metrics and communicate findings to non-technical stakeholders.

Education

  • B.E.
    SPPU
    Artificial Intelligence and Data Science · 2021 – 2025
  • High School
    Science · 2019 – 2021
  • Secondary
    2018 – 2019

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL NumPy Python Pandas Seaborn Matplotlib Data Cleaning Random Forest Classification Gradient Boosting Feature Engineering Logistic Regression ( in progress )

Tools / apps / platforms

3 to 6 months 3 to 6 months A few months of practice with it.
Tableau
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
VS Code Google Colab Microsoft Excel Jupyter Notebook Microsoft Power BI

Languages

Native / Bilingual Native / Bilingual Their first language, or as strong as one.
Hindi Speak Marathi Speak
Fluent Fluent Comfortable using it for work.
English Speak

Projects

  • COVID-19 Data Analysis & Visualization
    Python, Pandas, Matplotlib, Seaborn

    Analysed a global COVID-19 dataset to explore confirmed cases, recoveries, and fatality trends across countries using Pandas. Performed data cleaning by handling missing values, standardizing date formats, and filtering country-level records. Generated visual insights including line charts for daily case trends, bar plots for top affected countries, and a heatmap of case density using Matplotlib and Seaborn. Summarised key findings on infection growth rate and recovery ratio in a structured Jupyter Notebook report.

  • AI-Driven Admission Analysis & Prediction System
    Python, Gradient Boosting, EDA

    Collected raw admission data from the CET Cell platform and performed extensive EDA to clean and validate the dataset for model training. Built a machine learning model using Gradient Boosting to predict college admission chances with optimized accuracy. Applied data preprocessing, feature engineering, and model evaluation using Accuracy and F1-Score metrics. Visualized admission trends and model outputs to present interpretable results to academic stakeholders.

Courses & certifications

  • Tableau Internship Certificate · Tableau Program · 2024
  • Google Data Analytics Professional Certificate · Google / Coursera

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