About me

I'm Machine Learning enthusiast and 2024 graduate in Electronics and Communication Engineering. I specialize in building AI solutions, from predictive models to generative applications, to solve real-world problems.

My focus is on creating impactful and user-friendly AI systems that simplify complex challenges. With a passion for innovation and continuous learning, I aim to deliver solutions that make technology accessible and efficient.

What i'm doing

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    Machine Learning Solutions

    Developing and deploying advanced machine learning models to address real-world challenges effectively.

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    AI Applications

    Building user-friendly AI-powered applications, including predictive systems and generative AI tools.

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    Data Analysis

    Performing data preprocessing, visualization, and analytics to uncover actionable insights.

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    End-to-End Projects

    Designing and implementing complete solutions, from model development to deployment, ensuring scalability and efficiency.

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.

Resume ↗

Education

  1. Vishwakarma Government Engineering College, Ahmedabad

    2020-2024

    B.E. Electronics & Communication Engineering
    CGPA: 7.33

  2. Mount Carmel High School, Gandhinagar

    2018-2020

    Physics, Chemistry & Mathematics
    65%

Experience

  1. Machine Learning Intern @ iNeuron.ai

    Mar 2023 - May 2023


    Performed customer sentiment analysis to measure user engagement levels on 5 different online platforms,resulting in enhanced targeting accuracy by 30%.

    Applied unsupervised learning techniques such as K-Means clustering and dimension reduction methods toclassify customer preferences into distinct clusters, increasing accuracy by 27%.

    Analyzed customer data to gain insights & inform strategic decisions, resulting in a 15% increase in market share.

    Utilized machine learning techniques to predict purchasing habits based on large-scale customer personality data,leading to a 17% increase in revenues.

  2. Data Analytics and Machine Learning Intern

    Jul 2023 - Jul 2023


    Collaborated with a team to optimize ML pipelines for seamless deployment in production.

    Deployed machine learning models, including an image classifier, with a 13% accuracy improvement using CI/CD pipelines for seamless integration and deployment.

My skills

  • Programming: Python, C++, SQL
  • Machine Learning: TensorFlow, PyTorch, Keras, Scikit-learn, LLM, Pandas, NumPy
  • Cloud and Databases: MongoDB, MySQL, AWS
  • Development Tools: OpenCV, Flask, FastAPI, Docker, Git, Linux, CI/CD, SDLC