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SharmaKanishkaa/README.md

Hi there! 👋🏼

I'm Kanishka Sharma, a B.Tech student at Ajay Kumar Garg Engineering College specializing in Computer Science. I’m driven by curiosity and a passion for data, aspiring to build a career in data science, analytics, and engineering. My journey so far includes hands-on experience with Python, C++, SQL, and tools like Power BI, where I’ve built predictive models, AI-driven tools, and interactive dashboards.

Beyond the numbers, I’m fascinated by how data can revolutionize fields like healthcare, sustainability, and sports analytics. I believe in lifelong learning and actively seek opportunities to challenge myself, whether it’s solving real-world problems or exploring emerging technologies like NLP and machine learning.

Ultimately, I aim to blend technical expertise with creativity to make a lasting impact across diverse industries. Let’s connect and make data count!

✅ Competencies

  • Exploratory Data Analysis (EDA)
  • Data Wrangling & Cleaning
  • Statistical Analysis
  • Data Visualization
  • Machine Learning
  • Natural Language Processing (NLP)
  • ETL/ELT
  • Relational Databases (RDBMS)

💻 Tech Stack

  • Programming Languages: Python, C/C++, SQL
  • Machine Learning & Deep Learning: TensorFlow, Keras, PyTorch, scikit-learn, NumPy, pandas, Matplotlib, Seaborn, Hugging Face Transformers, LLaMA, RAG
  • Web Development & Deployment: Flask, Streamlit
  • Data Visualization: Power BI
  • Databases & Cloud: MySQL, MongoDB
  • Version Control: Git, GitHub
  • Tools: MS Excel, MS Word

📂 Project Portfolio

Each of my projects is like a chapter in my journey to explore data's vast potential. Here’s a peek into what I’ve built: Portfolio

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  1. Analyzing-Spooky-Authors-with-NLP Analyzing-Spooky-Authors-with-NLP Public

    Jupyter Notebook

  2. Customer-Segmentation-Using-Unsupervised-Clustering Customer-Segmentation-Using-Unsupervised-Clustering Public

    Jupyter Notebook

  3. Diabetes-Prediction-with-EDA-and-Naive-Bayes- Diabetes-Prediction-with-EDA-and-Naive-Bayes- Public

    Jupyter Notebook

  4. HR-Analytics-with-Decision-Trees-Random-Forest- HR-Analytics-with-Decision-Trees-Random-Forest- Public

    Jupyter Notebook

  5. Multilingual-Toxic-Comment-Classification-Model Multilingual-Toxic-Comment-Classification-Model Public

    Jupyter Notebook

  6. Stock-Market-Analysis-and-Prediction-using-LSTM Stock-Market-Analysis-and-Prediction-using-LSTM Public

    Jupyter Notebook