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@arnabberawork
arnabberawork
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Arnab Bera arnabberawork

Data Scientist , AI , ML Engineer

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arnabberawork /README.md

πŸ‘‹ Hi, I'm Arnab Bera!

🎯 API and Integration Consultant | Generative and Agentic AI Enthusiast

✨ Specializing in AI & ML with Python | Microsoft Azure & SoftwareAG Certified | Java WebMethods Integration BPM Consultant ✨

πŸš€ About Me

With over 8 years of experience, I specialize in API integration and AI/ML, delivering innovative solutions for complex technical challenges. As an API and Integration Specialist, I have led large-scale projects, improving system interoperability and reducing deployment times.

I design intelligent systems that automate workflows, enhance decision-making, and provide actionable insights. Passionate about optimization and innovation, I thrive at creating scalable, data-driven solutions that drive operational excellence and measurable business impact.

πŸ“’ Get In Touch

Feel free to reach out to discuss collaboration opportunities, projects, or any other inquiries!

βš’οΈ Tech Stacks

Programming Languages & Markup Languages

AI & Machine Learning

Generative AI

Data Analysis

Integration Technologies

Framework and Libraries

Databases

Github Stats

Β© 2025 Arnab Bera. All rights reserved.

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  1. Laptop-Shop-Assist-AI Laptop-Shop-Assist-AI Public

    Your AI-Powered Laptop Shopping Assistant

    Jupyter Notebook 1

  2. Automatic-Ticket-Classification Automatic-Ticket-Classification Public

    Machine learning model using NLP topic modeling to automatically classify customer complaints based on products and services for improved customer service in the financial industry.

    Jupyter Notebook 1

  3. Syntactic-Processing-Assignment Syntactic-Processing-Assignment Public

    Develop a custom Named Entity Recognition (NER) system to extract and categorize diseases and their corresponding treatments from medical text data.

    Jupyter Notebook 1

  4. Gesture-Recognition-Project Gesture-Recognition-Project Public

    Case Study to develop a gesture recognition system for a smart TV that can identify five distinct user gestures, allowing remote-free control.

    Jupyter Notebook 1

  5. Melanoma-Detection-Assignment Melanoma-Detection-Assignment Public

    Case study to detect melanoma by building a model to classify skin lesions as malignant or benign using image data.

    Jupyter Notebook 1 1

  6. Telecom-Churn-Group-Case-Study Telecom-Churn-Group-Case-Study Public

    Kaggle Competition - Predict customer churn in the telecom sector using machine learning models and exploratory data analysis to identify key factors driving churn

    Jupyter Notebook 1

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