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shikhasingh96/README.md

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👋 Hi, I’m Shikha Singh

I'm a dedicated and analytical-minded MSBA student with over 3 + years of experience as a Data Analyst, now actively seeking full-time opportunities to contribute to data-driven decision-making.

📖 I'm currently pursuing my Master's student in Business Analytics at California State University, East Bay (CSUEB) and my passion for leveraging data science, predictive modeling, machine learning, and AI to solve complex real-world problems.

📍 Based in California, I’m open to opportunities globally.

🌟 About Me

🛠️ Technologies & Skills

Languages & Databases

  • Python | RStudio | MS SQL Server | MySQL

Data Science and Machine Learning

  • Scikit-learn, TensorFlow, Keras, Pandas, NumPy, Matplotlib, Seaborn, Plotly
  • Predictive Modeling: Regression, Classification, Time-Series Forecasting
  • Machine Learning Models: Random Forest, Gradient Boosting, Neural Networks, Clustering
  • AI: NLP (Natural Language Processing), Reinforcement Learning

Data Tools & Frameworks

  • Tableau | Power BI | Excel (Advanced) | Google Sheets
  • AWS Glue | AWS S3 | Athena

Other Technical Skills

  • ETL Pipelines | SQL Query Optimization | Data Cleaning
  • Data Visualization | Statistical Modeling | Business Analytics

💼 Professional Highlights

  • 🔍 Over 3+ years of experience in data analytics, building dashboards, ETL pipelines, and generating actionable insights.
  • 📊 Successfully implemented projects using AWS Glue, Python, SQL, and Tableau to analyze and visualize complex datasets.

Feel free to explore my repositories and connect for collaboration opportunities! 😊

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  1. ANALYZING-ELECTRONIC-VEHICLE-TRENDS ANALYZING-ELECTRONIC-VEHICLE-TRENDS Public

    Data Analysis Project

    Jupyter Notebook

  2. Data-Cleaning-Portfolio-Project-SQL-Queries Data-Cleaning-Portfolio-Project-SQL-Queries Public

    Nashville Housing Data for Data Cleaning

  3. EAD-Real-Estate-realtor.com EAD-Real-Estate-realtor.com Public

    Exploratory Data Analysis

    Jupyter Notebook

  4. Investment-Portfolio-and-Efficient-Frontier-Using-Microsoft-Excel Investment-Portfolio-and-Efficient-Frontier-Using-Microsoft-Excel Public

    Optimal investment portfolio and plot the Efficient Frontier using Microsoft Excel.

  5. -ETL-project- -ETL-project- Public

    ETL Data Pipeline Implementation Using AWS Glue, S3, and Athena.

  6. Healthcare-Claims-Prediction Healthcare-Claims-Prediction Public

    A machine learning model using XGBoost, optimized with Randomized Search CV and cross-validation. Improved claim forecasting by reducing validation MAE, achieving 1.34% validation error percentages.

    Jupyter Notebook