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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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ahmernajar/README.md

Ahmer Najar

Hello there! 👋 I'm Ahmer, a Data Scientist based in Exeter, United Kingdom, passionate about leveraging data to uncover insights and drive innovation. With expertise in Machine Learning, Python programming, and a solid track record in predictive modeling, I'm always ready to tackle complex challenges and contribute to exciting projects.

About Me

  • 🎓 Master's in Data Science at the University of Exeter(2023-2024).
  • 🎓 Bachelor of Technology in Electronics and Communication from NIT Srinagar, India(2016-2020).
  • 💼 Data Scientist at Tanla Platforms Ltd, where I led significant projects like Anti-Phishing solutions(LLM-based solution to the problem, the first of its kind.), Look-Alike Audience Models, and Churn Modeling(2020-2023).
  • 🌱 Currently exploring Large Language Models (LLMs) and their myriad applications.
  • 🛠️ Skills: Machine Learning, Deep Learning, Natural Language Processing, Data Analysis, Python, Data Visualization, Statistical Modelling.
  • 🤖 Proficient in harnessing the power of LLMs, customizing them for unique use cases.
  • ⚽️ Outside of work, I'm an avid football fan, chess player, music enthusiast, and gamer.

Ongoing Project: Advanced Sentiment Analysis in Football Subreddit Discussions

Overview

I am currently working on developing an advanced sentiment analysis framework tailored to the nuanced discourse within football subreddit communities. This project, supervised by Dr. Ayah Helal at the University of Exeter, aims to accurately identify and quantify a broad spectrum of emotions and detect sarcasm, addressing the limitations of current sentiment analysis tools.

Objectives

  • Comprehensive Emotion Spectrum Analysis: To categorize and quantify sentiments across a wide range of emotions, including happiness, sadness, anger, and more, specific to the sports discourse community.
  • Advanced Sarcasm Detection: To refine sarcasm detection techniques, ensuring the accurate identification of sarcasm within subreddit discussions.
  • Model Development and Validation: Employing and fine-tuning machine learning models for emotion analysis and sarcasm detection, with a focus on deep learning approaches like CNNs, RNNs, and Transformer models.

Significance

This project aims to enhance our understanding of digital social interactions within specific interest groups, offering insights that can improve community management, content moderation, and user engagement strategies on social media platforms.

Past Projects

  • Anti-Phishing LLM: Pioneered the world's first Anti-Phishing solution using cutting-edge LLMs.
  • Look-Alike Audience Model: Boosted customer acquisition by 30% through a machine learning-driven model.
  • Churn Prediction Model: Reduced customer churn by 15% with an XG-Boost-based prediction model.

Languages and Tools:

aws canvasjs chartjs d3js docker flask gcp git kubernetes linux mysql postgresql python

ahmernajar

Let's Connect!

Would you be interested in collaborating or learning more about my work? Feel free to get in touch!

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