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Developing
:octocat:
Developing

Organizations

@Data-Science-Community-SRM @SRM-ACM-Women

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ankitasankars/README.md

Hi there!

About me

A results-driven Computer Science graduate with a strong passion for AI/ML, Neural Networks, and Data Science, as well as a keen interest in Business and Management. Actively seeking opportunities to bridge the gap between technology and business, recognizing the critical importance of a comprehensive understanding of both domains for driving innovation and achieving success in today's competitive landscape.

Committed to continuously honing, developing, and expanding capabilities in these areas through practical experience, coupled with a proactive approach to staying updated with the latest industry trends and technologies. I am eager to apply my knowledge and expertise to real-world scenarios and making a meaningful impact at the intersection of technology and business.

I welcome the opportunity to discuss how I can contribute to your organization's objectives. Please feel free to reach out to me anytime!

Check out my Portfolio - Website here!

Languages and Frameworks

cplusplus flask git linux opencv python pytorch scikit_learn sqlite tensorflow

Blog Posts

You can check out my blogs on Medium :)

Progress

  • 🔭 I’m currently working on NLP projects and expanding my scope.
  • 🌱 I’m currently learning more about GANs.
  • 👯 I would love to collaborate on ML Projects and Hackathons!
  • 📫 Feel free to shoot me an email!
  • ⚡ Fun fact: I'm a music lover who reads a lot of books and spends my free time binge watching TV Shows:)

Reach me

github linkedin instagram YouTube

Profile Stats

Top Langs

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  1. Conjexure-A-Web-App-for-Stock-Market-Forecasting Conjexure-A-Web-App-for-Stock-Market-Forecasting Public

    Forked from Data-Science-Community-SRM/Conjexure-A-Web-App-for-Stock-Market-Forecasting

    Conjexure is a machine learning web app for forecasting the stock prices of certain companies into the future.

    Jupyter Notebook

  2. EmotiScan-A-Multimodal-Approach-for-Detecting-Depression-Using-Physiological-And-Behavioural-Data EmotiScan-A-Multimodal-Approach-for-Detecting-Depression-Using-Physiological-And-Behavioural-Data Public

    A deep learning-based approach to detect depression using physiological and behavioral data from three modalities: Text, Audio, and Video.

    Jupyter Notebook 3

  3. Face-Mask-Detection Face-Mask-Detection Public

    A Face Mask detection model to detect face masks in static images as well as in real-time video streams.

    Python 2 4

  4. TweetVibe-A-Twitter-Sentiment-Analysis TweetVibe-A-Twitter-Sentiment-Analysis Public

    Monitoring emotions in Twitter tweets using an automated process of identifying and classifying subjective information in text data.

    Jupyter Notebook 1

  5. Ailment Ailment Public

    Forked from Data-Science-Community-SRM/Ailment

    This project comprises predicting different types of disease at one place Pneumonia, Malaria, Liver Disease and Cardiovascular Disease

    Jupyter Notebook

  6. Cartoonify Cartoonify Public

    Forked from Data-Science-Community-SRM/Cartoonify

    Adding Cartoon effects to an Image using Python, Open CV and deploying it as a DiscordBot.

    Jupyter Notebook