Skip to content
View KarthikMahalingam8881's full-sized avatar

Block or report KarthikMahalingam8881

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

💫 About Me:

I am a data science graduate student with a strong foundation in programming,
data analysis, and machine learning. With a proven track record in leveraging data-driven insights
to optimize processes and solve complex problems, I excel at identifying opportunities for improvement
and driving impactful results. My professional experience includes developing predictive models, enhancing
decision-making through visualization tools, and streamlining workflows with automation. Passionate
about continuous learning and collaboration, I aim to create innovative solutions that improve
efficiency and foster growth.

🌐 Socials:

LinkedIn

💻 Tech Stack:

PythonJava MySQL SQLite Postgres Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow GitHub GitHub Actions Apache Spark C C++

Popular repositories Loading

  1. karthikmahalingam8881.github.io karthikmahalingam8881.github.io Public

  2. Optimizing-Credit-Card-Fraud-Detection Optimizing-Credit-Card-Fraud-Detection Public

    This project detects credit card fraud using machine learning and deep learning models, including Random Forest, SVM, and Neural Networks, ensuring accurate classification and supporting fraud prev…

    Jupyter Notebook

  3. Sentiment-Analysis-of-App-Reviews-using-DistilBERT Sentiment-Analysis-of-App-Reviews-using-DistilBERT Public

    This project analyzes app reviews using sentiment classification powered by DistilBERT. It employs machine learning and natural language processing (NLP) techniques to determine sentiment as positi…

    Jupyter Notebook

  4. Text-and-Sentiment-Analysis-of-Political-Rally-Speeches- Text-and-Sentiment-Analysis-of-Political-Rally-Speeches- Public

    This project analyzes political rally speeches using natural language processing (NLP) and sentiment analysis. It identifies key topics, visualizes trends, and evaluates sentiments to gain insights…

    Jupyter Notebook

  5. KarthikMahalingam8881 KarthikMahalingam8881 Public

  6. Spotify-Music-Popularity-Analysis Spotify-Music-Popularity-Analysis Public

    This project analyzes Spotify music data to uncover trends, identify key features influencing track popularity, and predict future hit songs. It combines advanced statistical techniques, machine le…

    Jupyter Notebook