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Harshraj1301/README.md

Hi there, I'm Harsh! 👋

I am a seasoned Data Scientist with over 5 years of experience in leveraging analytics to drive strategic business decisions.

🧠 Expertise

  - Data Science
  - Machine Learning
  - Statistical Analysis
  - Data Visualization
  - Leadership
  - AI and Neural Networks
  - Natural Language Processing (NLP)

📜 Certifications

  - AWS: AWS Certified Cloud Practitioner
  - Microsoft: Microsoft Certified: Azure Fundamentals (Credential ID 9HmC-sF77)
  - HackerRank: SQL (Advanced)
  - SAS: Operations Research with SAS Optimization
  - DataCamp: Building Chatbots in Python
  - DataCamp: Machine Learning Scientist with Python
  - DataCamp: Data Analyst with Python Track
  - DataCamp: Python Fundamentals Track
  - ThoughtSpot: Certified ThoughtSpot Professional

📚 Education

  Purdue University (West Lafayette, United States)
  - MS in Business Analytics and Information Management (STEM)

  VIT University (Vellore, India)
  - B.Tech in Mechanical Engineering (STEM)

🌟 Skills

  - Python
  - SQL
  - Machine Learning
  - Data Visualization
  - Statistical Analysis
  - R
  - Big Data
  - Data Analytics
  - Cloud Computing (AWS, Azure)
  - Natural Language Processing (NLP)
  - Neural Networks
  - Exploratory Data Analysis
  - Unstructured Data
  - Analytical Skills
  - Data Science
  - Leadership
  - Support Vector Machine (SVM)
  - Rasa Platform
  - spaCy
  - SAS (Software)

✨ Personal Interests: Apart from being a data enthusiast, I enjoy:

  💪 Calisthenics
  🏊 Swimming

🔗 Connect with Me

Popular repositories Loading

  1. Crypocurrency-Predictive-Model-Using-LSTM---Portfolio-Optimization Crypocurrency-Predictive-Model-Using-LSTM---Portfolio-Optimization Public

    Developed a Bidirectional LSTM model for predicting next day closing prices with a MAPE of 19% and built a dynamic portfolio optimization algorithm incorporating profit-taking and stop-loss strategies

    Jupyter Notebook 2

  2. Optimizing-Flight-Connectivity-through-Graph--Machine-Learning---Linear-Programming-algorithms Optimizing-Flight-Connectivity-through-Graph--Machine-Learning---Linear-Programming-algorithms Public

    Developed predictive model to forecast flight delays, clustered airports to enhance efficiency, and used Dijkstra’s algorithm for shortest flight paths, leading to fuel savings. Optimized intra-sta…

    Jupyter Notebook 2

  3. LLM-AI-Generative-Text-Prediction LLM-AI-Generative-Text-Prediction Public

    Leveraged BERT to distinguish AI generated from human written texts in a Kaggle competition, using datasets from Mistral AI (to train the model)

    Jupyter Notebook 1

  4. Airbnb---Chicago-Superhost-Prediction Airbnb---Chicago-Superhost-Prediction Public

    Forecasted Airbnb 'Super host' status in Chicago with an 84% accuracy using Logistic Regression and assessed potential returns on investment employing the Herfindahl Index for strategic investment …

    Jupyter Notebook 1

  5. Meijer---Real-Estate-Predictive-Model Meijer---Real-Estate-Predictive-Model Public

    Developed a predictive real estate model leveraging XG Boost Regressor, integrating web-scraped market data with existing datasets to forecast daily store visits, achieving a MAPE of 13.3%, enablin…

    Jupyter Notebook 1

  6. Automated-Web-Scraping-of-Dynamic-Content-with-Selenium Automated-Web-Scraping-of-Dynamic-Content-with-Selenium Public

    This project focuses on using Selenium for web scraping to handle dynamic content that is loaded via JavaScript

    Jupyter Notebook 1