About me

Iā€™m a passionate Computer Science student and Data Science enthusiast from Mody Universtiy, Rajasthan, focused on building intelligent solutions using data. I enjoy turning complex real-world problems into clean, efficient, and insightful outcomes through technology.

I specialize in developing user-focused applications and data-driven solutions that are both functional and intuitive. I focus on simplifying complex problems and turning them into efficient and practical systems. With every project, I aim to combine clean design with logical thinking to create impactful results. My goal is to leverage data science and technology to build solutions that make a difference.

What i'm doing

  • design icon

    Data Analysis

    Working with data to uncover patterns, generate insights, and build intelligent solutions.

  • Data Visualization

    Creating visual representations of data to communicate insights and findings effectively.

  • Python Programming

    Python Programming

    Proficient in Python programming for data analysis, machine learning, and building efficient solutions.

  • Machine Learning

    Machine Learning

    Continuously learning and exploring new technologies, techniques, and trends in the field of data science and machine learning.

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Nupur Madaan

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Education

  1. S D Model Sr Sec School

    2020-2021

    Secondary Education - 90.2%

  2. S D Model Sr Sec School

    2022-2023

    Intermediate Education - 84.4%

  3. Mody University Of Science And Technology

    2023-2027

    Pursuing B.Tech in Computer Science - CGPA 8.84

Experience

  1. AI-ML Intern, Academor

    June 2024 - July 2024

    1. Completed 5+ AI modules covering supervised and unsupervised learning, and implemented algorithms in Python.

    2. Practiced Python programming by completing 8+ coding exercises with NumPy & Pandas.

    3. Visualized algorithm outcomes across exercises through Matplotlib, enhancing interpretation of data flow.

  2. Data Science Intern, YBI Foundation

    May 2025 - June 2025

    1. Built and evaluated an ML model with 95%+ accuracy for crop yield forecasting.

    2. Preprocessed real agricultural data(1500+ rows) by applying feature scaling, encoding, and cleaning.

    3. Applied evaluation metrics such as MAE and R2 to optimize model performance.

My skills

  • Python Programming
    70%
  • Data Anlysis
    80%
  • Data Visualization
    70%
  • EDA & Models Training, Evaluation
    65%
  • ML Techniques
    50%
  • C++ With DSA
    50%

Projects

  • Ticket Generator

    Ticket Generator

    Python Programming

  • AI in agriculture

    AI in Agriculture

    Data Science and ML

  • Soul Sense Exam

    Soul Sense Exam

    Data Science and ML