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Developing
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Developing

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

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ankitasankars/README.md

Ankita Kokkera

Business Analytics MSc @ Imperial College London · Ex-Software Engineer @ Barclays

Portfolio LinkedIn Medium Email

About Me

Software engineer turned analyst. I spent two years at Barclays building production systems, and now I'm at Imperial studying Business Analytics because I wanted to understand the decisions those systems were informing.

Currently focused on Generative AI (GANs & LLMs) in finance and consulting contexts, and building NLP tools that go beyond demos into actual use.

🎵 Music enthusiast · 📚 Avid reader · 📺 Binge-worthy TV fan


💡 Focus Areas

🧠 AI/ML & Neural Networks 📊 Data Science & Visualization 💼 Business & Finance
GANs, LLMs, and applied deep learning Turning messy data into clear decisions Translating technical work into business context

🔧 Tech Stack

Languages

Python SQL Java C++

ML / AI

PyTorch TensorFlow Scikit-Learn OpenCV

Tools & Infrastructure

Docker Jenkins Git Linux Flask Tableau


🚀 Currently

  • 🔭 Building NLP projects with real-world business applications
  • 🌱 Learning Generative AI (GANs & LLMs) in finance and consulting
  • 👯 Open to collaborations at the intersection of data, AI, and business
  • ✍️ Writing AI & analytics on Medium
  • 📫 Reach me at ankitasankars@gmail.com

Let's connect and build something together!

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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 4 1

  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