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nikhilniksss/README.md

👋 Hi there! I'm Nikhil Profile Views

Transforming data into insights | Data Scientist

With over a decade of professional experience, I've evolved from a software developer into a seasoned data scientist, passionate about turning complex data challenges into actionable insights.

🚀 Professional Journey

timeline
    title My Tech Evolution
    2014 : Started as Software Developer
    2017 : Transitioned to Data Science
    2022 : Mastered Statistics, ML, DL and NLP
    2023 : Started with GenAI & LLMs
    2024-2025 : Mastering GenAI & LLMs
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💡 What I Do

🔬 Design and implement end-to-end machine learning solutions
📊 Transform raw data into compelling visual stories
🤖 Develop NLP and deep learning models
🎯 Drive data-driven decision making
🌟 Explore cutting-edge AI technologies

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📈 GitHub Contribution Insights

GitHub Streak GitHub Stats

📈 Contribution Graph

Nikhil's GitHub Activity Graph

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Core Skills

Statistics Machine Learning NLP Deep Learning Generative AI

Languages & Tools

Python R SQL Tableau Xceptor

🚀 Fun fact about data science

In data science, 80% of the effort is spent on data preparation, while the remaining 20% is spent on complaining about data preparation :D

🔬 Current Role: Associate Vice President
🎯 Expertise: Machine Learning, NLP, Deep Learning & GenAI
💼 Experience: 10+ Years in Technology
🌱 Evolution: Software Developer (4.5 years) ➜ Data Scientist (5.5 years)
🎓 Core Strength: Statistics, ML, Python, SQL and NLP Algorithms
🚀 Passion: Building Intelligent Systems & Data Solutions

💡 My Data Science Arsenal

mindmap
  root((Data Science))
    Analytics
      Statistical Analysis
      Probability Models
      Data Visualization
    Core ML
      Supervised Learning
      Unsupervised Learning
      Model Optimization
    Advanced AI
      Deep Learning
        Neural Networks
        Computer Vision
      NLP
        Text Analytics
        Language Models
      Generative AI
        LLMs
        Transformers
    Tools
      Python
      R
      SQL
      Tableau
      Xceptor
      Alteryx
      pega
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  1. Python-Programming Python-Programming Public

    This Repository contains all python basic coding implementations.It also includes libraries like pandas, Numpy, Matplotlib, Seaborn, Tensorflow, pytorch implementations.

    Jupyter Notebook 1

  2. Supervised-Machine-Learning Supervised-Machine-Learning Public

    This Repository contains supervised machine learning algorithm implementations on python like KNN, Linear Regression, Logistic Regression, Naive Bayes, SVM, XGBoost etc.Also includes feature engine…

    Jupyter Notebook 2

  3. Unsupervised-Machine-Learning Unsupervised-Machine-Learning Public

    This Repository contains Unsupervised machine learning algorithm implementations on python like K-means,PCA etc.

    Jupyter Notebook 1

  4. Deep-Learning Deep-Learning Public

    This Repository contains Deep Learning/computer vision algorithm implementations on python like CNN, VGG-16, AlexNet, LENET, Inception, RESNET etc.

    Jupyter Notebook 1

  5. Natural-Language-Processing Natural-Language-Processing Public

    This Repository contains Natural Language Processing algorithm implementations on python like Encoder Decoder, LSTM, Simple RNN etc.Also pre-processing libraries like spacy, nltk, Text BLOB.

    Jupyter Notebook 1

  6. Large-Language-Model Large-Language-Model Public

    Explore large language models hands-on with code implementations, theoretical concepts, and detailed handwritten notes in our GitHub repository.

    Jupyter Notebook 2