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Developing
:octocat:
Developing
41 followers · 27 following

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

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ankitasankars/README.md

Hi there!

About me

I’m a Business Analytics MSc student at Imperial College London and a former Software Engineer at Barclays, passionate about building solutions where data, AI, and strategy converge.

💡 My focus areas include:

AI/ML & Neural Networks – turning data into predictive, actionable insights

Data Science & Visualization – uncovering patterns and driving smarter decisions

Business & Finance Applications – bridging technology with real-world impact

🔧 Tech Stack: Python | SQL | Java | PyTorch | TensorFlow | Scikit-Learn | Tableau | Docker | Jenkins

I’m committed to continuous learning and applying advanced analytics to solve finance, risk, and business challenges. Here on GitHub, you’ll find my projects ranging from machine learning models to data-driven dashboards and automation tools.

Let’s connect and collaborate on projects that create real impact!

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

  • 🔭 Currently working on NLP projects with a focus on real-world business applications.
  • 🌱 Deepening expertise in Generative AI (GANs & LLMs) and their applications in finance & consulting.
  • 👯 Open to collaborating on projects that bridge data, AI, and business impact.
  • 📫 Reach me at: ankitasankars@gmail.com
  • ⚡ Outside of tech: I’m a music enthusiast, an avid reader, and enjoy binge-worthy TV shows in my downtime.

Reach me

github linkedin instagram YouTube

Profile Stats

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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