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Achievement: Pull Shark

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Achievement: Pull Shark

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SinghHritik9919/README.md

Hello, I'm Hritik Singh 👋🏻

💻 Passionate about Software Engineering & Technology

🎓 Academic Background
I'm currently pursuing a Master of Science in Information Systems at Northeastern University. My academic journey spans a variety of topics, including software development, data management, cloud computing, and application support, with a strong focus on leveraging technology to solve complex problems and drive innovation.

📝 Projects & Experience
I am actively engaged in hands-on projects, working with diverse technologies and methodologies. My projects involve building applications, analyzing data, and creating robust solutions that address real-world challenges and streamline business processes.

📬 Connect With Me

📊 My GitHub Portfolio
Explore my repositories to see my work in software development, data analysis, and other technical projects. Each project highlights my commitment to applying technical skills to create meaningful solutions.

Popular repositories Loading

  1. EarthquakePrediction_DS_ML EarthquakePrediction_DS_ML Public

    Earthquake Prediction Using Linear Regression This project predicts earthquake magnitudes using a Kaggle dataset with features like depth, location, and time. A linear regression model achieves an …

    Jupyter Notebook 1

  2. JavaSwing_EventHuskies JavaSwing_EventHuskies Public

    Developed Event Huskies, a Java Swing app for event property rentals. Enabled clients to list venues and browse options. Added admin controls for property approvals, ensuring quality. Integrated SS…

    Java

  3. DatabaseDesigningProjects DatabaseDesigningProjects Public

    The "ShopperStop" E-commerce DBMS streamlines customer records, inventory, vendors, orders, and transactions using 3NF-normalized tables for data integrity and scalability. It ensures efficient man…

  4. SinghHritik9919 SinghHritik9919 Public

    Config files for my GitHub profile.

  5. BankFraudDetection_DS_ML BankFraudDetection_DS_ML Public

    This project develops machine learning models to detect fraudulent transactions in a bank dataset. Using techniques like Logistic Regression, SVC, Random Forest, and XGBoost, the goal is to classif…

    Python

  6. VehicleCollision_DataEnginneringProject VehicleCollision_DataEnginneringProject Public

    Vehicle Collision Analysis analyzes crash data from Chicago, Austin, New York, and Montgomery to uncover trends. It uses Alteryx for profiling, Azure Data Factory for ingestion, and Talend for tran…