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oshinrathor/README.md

👋 Welcome to My GitHub Profile!

Hi, I'm Oshin Rathor, a passionate Data Scientist driven by the power of data to uncover insights and solve real-world problems. I specialize in data analysis, machine learning, and business intelligence, aiming to transform raw data into actionable solutions.

Whether it's building predictive models or designing interactive dashboards, I am constantly learning, experimenting, and pushing the boundaries of what's possible with data.


🎯 My Goal

My mission is to become a top-tier Data Scientist, specializing in machine learning, data visualization, and predictive analytics. I am deeply interested in leveraging cutting-edge technologies to create solutions that not only advance business objectives but also make a meaningful impact. My ultimate ambition is to join a dynamic team where I can continue to learn, contribute, and grow.


🚀 Key Projects

Here are a few of my most notable projects that highlight my skills in data analysis, machine learning, and data visualization:

Data Science Projects 🧠

  • Amazon Web Scraping
    Scraped product data from Amazon, enabling detailed product sentiment analysis, pricing insights, and review analysis. Used web scraping techniques to automate data extraction and analysis.

  • Customer Segmentation
    Developed a clustering algorithm to segment customers based on purchasing behavior. This helps businesses identify target demographics and create tailored marketing strategies.

  • Language Identifier
    Built a tool that accurately identifies the language of any given text using machine learning and NLP techniques.

  • SMS Spam Classifier
    Designed a classification model to detect and filter out spam messages from SMS, improving message management and user experience.

  • Text Mining
    Performed text mining techniques on large datasets to extract valuable insights and patterns using tokenization, sentiment analysis, and feature extraction.

  • Traffic Accidents Analysis & Prediction
    Analyzed traffic accident data to identify patterns and predict accident hotspots, ultimately improving road safety.

  • Sentiment Analysis
    Built a sentiment analysis model using NLP techniques to gauge the sentiment of various text data sources, including social media posts, reviews, and more.


Power BI Dashboards 📊

  • Apocalypse Food Prep Dashboard An interactive Power BI dashboard for food preparedness, helping users track inventory and manage expiration dates in case of emergencies.

  • Data Science Careers/Professional Dashboard
    A comprehensive dashboard that helps professionals track their career progression in the data science field, providing key metrics and insights.

  • NIA Dashboard
    A sophisticated dashboard visualizing trends and insights from National Intelligence Agency data, designed for high-level analysis.

  • Uber Dashboard
    Analyzes Uber trip data, showing key statistics on trips, drivers, and customer behavior. A useful tool for Uber business analysis and optimization.


🛠️ Skills & Technologies

Here are the tools and technologies I use to bring data to life:

  • Programming Languages: Python, R, SQL, PowerShell
  • Libraries & Frameworks: Pandas, NumPy, Scikit-learn, TensorFlow, NLTK, Matplotlib, Seaborn, Plotly
  • Data Visualization: Power BI, Tableau, Matplotlib, Seaborn
  • Machine Learning & AI: Supervised/Unsupervised Learning, Natural Language Processing (NLP), Time Series Forecasting, Deep Learning
  • Tools: Jupyter Notebooks, Visual Studio Code, Git, Docker

🔍 My Interests

  • Data Science & Machine Learning: Passionate about extracting insights from data and building models that predict future outcomes.
  • Artificial Intelligence: Deeply interested in AI technologies and their applications in solving real-world problems.
  • Data Visualization: I believe that the key to unlocking data's potential is effective visualization, and I love creating interactive dashboards and reports.
  • Natural Language Processing (NLP): NLP is a fascinating field that I explore in projects like sentiment analysis and language identification.
  • Cloud Computing: Exploring cloud platforms like AWS and GCP to build scalable, efficient data solutions.
  • Data-Driven Decision Making: I believe data should drive business decisions and love crafting solutions that do just that.

📬 Let's Connect!

If you're interested in collaborating, discussing data science, or just want to exchange ideas, feel free to reach out!


Thank you for visiting my profile! 🚀


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