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akulvinod/README.md

👋 Hi, I'm Akul Vinod

Computer Science Engineering Graduate | Aspiring Data Scientist & ML Enthusiast

I’m passionate about transforming raw data into meaningful insights and building intelligent solutions that solve real-world problems. With a strong foundation in Data Science and Machine Learning, I aim to create data-driven systems that support smarter business decisions and impactful outcomes.

I bring enthusiasm, adaptability, and a strong work ethic, combined with the ability to learn quickly and perform under pressure. Currently, I’m deepening my expertise in advanced Data Science and Machine Learning while building projects that demonstrate real-world value.

About Me

  • Computer Science graduate focused on Data Science & Machine Learning
  • Strong interest in analytics, predictive modeling, and business insights
  • Exposure to GCC and Indian environments — adaptable & collaborative
  • Team-oriented mindset built through sports like basketball & paintball
  • Former Business Development Associate at Scaler, enhancing communication, stakeholder management, and analytical thinking

I enjoy bridging the gap between data, technology, and business impact.

Areas of Interest

  • Data Analysis & Visualization
  • Machine Learning & Predictive Modeling
  • Business Intelligence & Decision Analytics
  • Recommendation Systems & Time Series Forecasting
  • Converting complex data into actionable insights

Skills & Tools

Languages & Tools: Python, SQL, Tableau, Excel Data Analysis: Pandas, NumPy, Matplotlib, Seaborn Machine Learning: Scikit-learn, Classification, Regression, Clustering, Time Series

📈 Current Focus

  • Building end-to-end data science projects
  • Strengthening SQL, Python, and visualization expertise
  • Preparing for Data Analyst/Data Scientist roles in top tech companies
  • Continuously learning advanced ML concepts

🤝 Let’s Connect

I’m always open to collaborating on data-driven projects, learning opportunities, and meaningful tech discussions. If it involves data, ML, and solving real problems — I’m in.

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  1. Jamboree-LinearRegression Jamboree-LinearRegression Public

    Analysis will help Jamboree in understanding what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of ad…

    Jupyter Notebook

  2. LoanTap-LogisticRegression LoanTap-LogisticRegression Public

    Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?

    Jupyter Notebook

  3. Netflix-Case-Study Netflix-Case-Study Public

    Analyze the data and generate insights that could help Netflix ijn deciding which type of shows/movies to produce and how they can grow the business in different countries.

    Jupyter Notebook

  4. OLA-EnsembleLearning OLA-EnsembleLearning Public

    Recruiting and retaining drivers is seen by industry watchers as a tough battle for Ola. Churn among drivers is high and it’s very easy for drivers to stop working for the service on the fly or jum…

    Jupyter Notebook

  5. Scaler-Clustering-ML Scaler-Clustering-ML Public

    Analyzing the vast data of learners can uncover patterns in their professional backgrounds and preferences. Allowing Scaler to make tailored content recommendations and provide specialized mentorship.

    Jupyter Notebook

  6. Walmart-CaseStudy Walmart-CaseStudy Public

    The Management team at Walmart Inc. wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business …