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Suraksha Biradar

Data Science Fresher · Python, SQL & Machine Learning

Bhalki, Karnataka, India

@suraksha_biradar

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About

Motivated data science fresher with skills in Python, SQL, and machine learning algorithms. Experience includes data analysis, visualization, and predictive modeling through internships and projects.

Experience

  • Data Science Intern
    ExcelR
    May 2025 – Sep 2025

    Developed machine learning models to extract business insights from large datasets. Analyzed datasets using Python, pandas, and scikit-learn to improve model accuracy by 15%. Utilized advanced statistical methods to enhance predictive capabilities.

  • Python with Django Intern
    QSpiders Campus Connect
    Nov 2023 – Dec 2023

    Developed dynamic web applications using Python and the Django framework. Implemented user authentication modules and integrated responsive front-end designs.

  • MySQL Intern
    Vivek-IT
    Jul 2022 – Aug 2022

    Gained practical experience in SQL programming fundamentals and concepts. Performed CURD operations and optimized database performance using MySQL.

Education

  • BE
    Bheemanna Khandre Institute of Technology
    Artificial Intelligence and Machine Learning · 2021 – 2025
  • Pre-University
    Shaheen PU College
    Science · 2021
  • SSC
    S.S.B High School
    2019

Skills

6 to 12 months 6 to 12 months Most of a year behind them.
Python
3 to 6 months 3 to 6 months A few months of practice with it.
Statistics Data Analysis Machine Learning Data Visualization Predictive Modeling
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL NumPy Django Pandas Seaborn Streamlit Matplotlib scikit-learn

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.
MySQL Tableau Google Colab Jupyter Notebook

Languages

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

Projects

  • Solar Power Generation Prediction
    Random Forest, regression

    Built and evaluated a Random Forest regression model to predict solar energy output using environmental factors. Achieved an R² score of 0.91 and a mean absolute error of 3.2% on test data.

  • Book Recommender System
    Collaborative filtering, web application framework

    Built a personalized book recommendation system using collaborative filtering and a web application framework. Achieved 82% prediction accuracy and improved customer engagement by 20%.

Courses & certifications

  • Data Science Course · EXCELR · 2025
  • Internship Certificate – Python & Django · QSpiders Campus Connect
  • Internship Certificate – MySQL · Vivek-IT
  • AI-ML Engineer Training · Rooman Technologies Pvt. Ltd

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