Deepesh

About Me



           I am a versatile professional with expertise in software development, web development, data analysis, and IT support. With hands-on experience in developing responsive websites, building machine learning models, and designing blockchain-based solutions, I thrive on solving complex challenges through technology. I am passionate about leveraging my skills to drive innovation and efficiency. Let’s connect and explore opportunities to collaborate!



  • PROGRAMMING LANGUAGES
    ->
    Python,   SQL,   C,   C++,   Java   Javascript
  • TOOLS
    ->
    Excel, Power BI, Git, GitHub
  • TECHNOLOGIES
    ->
    Machine Learning, Cloud Computing
  • PYTHON LIBRARIES
    ->
    Numpy, Pandas, Sklearn, Matplotlib
  • SOFT SKILLS
    ->
    Problem Solving, Attention to detail,
        Teamwork, Communication skills
  • WED DEVELOPMENT INTERN

    -> Developed and enhanced websites by custom coding, prioritizing responsive, user-friendly designs and cross-browser/device compatibility.

    -> Conducted thorough testing to identify and fix bugs, ensuring optimal website functionality and reliability.

  • DATA SCIENCE INTERN AT OASIS INFOBYTE

    -> Analyzed unemployment data and identified trends by cleaning, processing, and visualizing datasets using Python and statistical methods.

    -> Built a machine learning model to predict car prices, applying data preprocessing and algorithm evaluation to ensure accuracy.

  • COLLEGE

    -> CV Raman Global University, Odisha-India

    -> B.Tech Computer Engineering (Software)

    -> CGPA: 9.12

  • SCHOOL

    -> Gen BC Joshi Army Public School,India

    -> Science (PCM)


My Services

Data Analysis & Insights

Conduct comprehensive data analysis to extract meaningful insights and support data-driven decision-making. Utilize Python and Jupyter Notebook for data cleaning, transformation, statistical analysis, and visualization. Specialize in predictive and prescriptive analytics, including model development and evaluation.

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Dashboard Creation and Data Visualization

Design and develop interactive dashboards using Power BI and Excel to visualize key performance metrics. Create intuitive visualizations that effectively communicate complex data insights to stakeholders.Integrate multiple data sources to provide a comprehensive view of business performance.

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Machine Learning Solutions

Develop and implement machine learning models for classification, regression, and clustering. Expertise in using Python libraries such as scikit-learn and TensorFlow to build, train, and evaluate models. Apply advanced validation techniques to ensure model accuracy and reliability.

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My works

Unemployment Analysis

I analyzed unemployment data, using Python libraries like pandas and numpy to clean and process datasets. By performing statistical analysis and creating visualizations with matplotlib and seaborn, I identified regional disparities, demographic impacts, and industry-specific trends, highlighting key areas for policy intervention.

Analyzed Unemployment data to identify trends and factors. Cleaned data, performed statistical analysis, and created visualizations.

Car price prediction

I developed a predictive model in Python to estimate car prices using features like make, model, year, and mileage. By preprocessing the data and applying algorithms such as linear regression and decision trees, I optimized model performance, achieving high accuracy and providing valuable insights for strategic pricing.

Developed a predictive model to estimate car prices. Preprocessed data, applied machine learning algorithms, and evaluated performance.

Sales Insights dashboard

I designed and developed an automated Power BI dashboard for a computer hardware business, analyzing data with SQL to track key metrics like revenue growth and regional sales performance. This dashboard enabled quick, data-driven decision-making, supporting strategic business planning.

Designed and developed an automated Power BI dashboard for a computer hardware business. Analyzed data with SQL.

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Contact Me