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epicakshat/README.md

πŸ‘‹ Hi there, I'm Akshat Rastogi!

Welcome to my GitHub profile! πŸš€
I’m a Data Analyst & Aspiring Data Scientist with hands-on experience in real-world projects, gained during my internship at Unified Mentor Pvt. Ltd. (June 2025 – September 2025).

I’m passionate about transforming raw data into meaningful insights using modern tools, visualization techniques, and machine learning. My aim is to contribute to solving real business problems with the power of data.

🌟 About Me

  • πŸŽ“ Background in Data Science & Analytics.
  • πŸ’Ό Internship at Unified Mentor Pvt. Ltd., where I worked on diverse projects across healthcare, retail, finance, and education.
  • πŸ” Passionate about data visualization, predictive modeling, and business intelligence.
  • πŸ“š Currently learning and applying concepts of AI & Machine Learning as part of my academic curriculum.
  • 🎯 Goal: To become a professional data analyst who can bridge the gap between data and decisions.

πŸ› οΈ Technologies & Tools I Use

πŸ“Š Data Analysis & BI

  • Python (Pandas, NumPy, Matplotlib, Seaborn)
  • Power BI
  • Microsoft Excel

πŸš€ Skills I'm Learning

Python HTML5 JavaScript Power BI Tableau SQL Postman Machine Learning

πŸ€– Machine Learning

  • Scikit-learn (Regression, Classification, Random Forest, SVM, XGBoost)
  • Feature Engineering (Mutual Info, Fisher Score, SMOTE)
  • Model Evaluation (RΒ², Accuracy, F1-score, Confusion Matrix)

πŸ—‚οΈ Other Tools

  • Jupyter Notebook
  • Git/GitHub
  • MS Word & PowerPoint (Documentation & Presentations)

πŸš€ Projects I’ve Worked On

Here are some highlights from my internship and personal projects:

  1. COVID-19 Clinical Trials EDA 🧬

    • Analyzed global clinical trial datasets to uncover patterns in trial phases, conditions, and interventions.
  2. Blinkit Grocery Dataset Analysis πŸ›’

    • Designed Power BI dashboards to visualize sales trends, consumer behavior, and outlet performance.
  3. Coca-Cola Stock Market Analysis πŸ“ˆ

    • Applied time series forecasting and ML models to predict price trends and compare with competitors.
  4. Wine Quality Prediction 🍷

    • Built supervised ML models to classify wine quality based on chemical properties.
  5. E-learning Courses Dataset Analysis πŸ“š

    • Explored 13K+ courses to uncover learner engagement patterns and business insights.

πŸ† Achievements

  • βœ… Completed 5+ real-world projects during internship.
  • βœ… Created interactive dashboards for data storytelling.
  • βœ… Achieved 90%+ model accuracy in predictive tasks.
  • βœ… Gained valuable mentor feedback to improve reporting & communication skills.

πŸ“¬ Let’s Connect!

I love connecting with fellow learners, data enthusiasts, and professionals.
Feel free to reach out or collaborate on data-driven projects!

🌐 LinkedIn | πŸ’» Portfolio | βœ‰οΈ Email Me

⭐ "Data is not just numbers – it’s the story of people, businesses, and ideas. My passion is to bring those stories to life through analytics."

Pinned Loading

  1. analysis-on-udemy-dataset analysis-on-udemy-dataset Public

    finance and accounting course analysis on Udemy dataset

    Jupyter Notebook 1

  2. Blinkit-Power-bi-dashboard Blinkit-Power-bi-dashboard Public

    visualize insight and trends of product delivered by blinkit app

    1

  3. covid-19-clinical-trials-EDA-pandas covid-19-clinical-trials-EDA-pandas Public

    data analysis on covid 19 dataset and finding insight from them

    Jupyter Notebook 1

  4. Netflix-movies-and-Tv-show-dataset-analysis Netflix-movies-and-Tv-show-dataset-analysis Public

    finding trends of movies and tv show based on the real data

    Jupyter Notebook 1

  5. Wine-Quality-analysis- Wine-Quality-analysis- Public

    finding the quality of wine by visualizing the data

    Jupyter Notebook 1