Arnab Bera

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Resume | LinkedIn | GitHub
AI | ML | Data Science | API Integration
Contact Me:
Email: arnabbera.official@gmail.com
Mobile: (+91)-8622016168

Headline:

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

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.

Key Skills

AI/ML Project Portfolio

An intelligent chatbot designed to assist users in finding the best laptop based on their needs. It leverages OpenAI’s GPT models to interact with users, gather requirements, and provide personalized laptop recommendations.

Topics Used: OpenAI GPT, Flask, Streamlit, Python, Moderation API.

NLP topic modeling to classify customer complaints based on products and services for improved customer service in the financial sector.
Topics Used: Natural Language Processing (NLP), Topic Modeling, Scikit-learn, Python.

CNN-based gesture recognition system enabling hands-free control of smart TVs with five distinct gestures.
Topics Used: Convolutional Neural Networks (CNNs), Time-Series Data, OpenCV, Python.

Football Lens: AI-Powered Football Research App

An intelligent, agentic app that leverages the power of OpenAI, Crew, and Serper to help users easily research football statistics, gain player insights, and track league trends. This tool is designed to offer fast and efficient access to critical football data, empowering fans and analysts with up-to-date information on teams, players, and match performances.

Technologies Used: OpenAI, Crew, Serper, Streamlit, Flask, Python.

Custom Named Entity Recognition (NER) system to extract and categorize diseases and treatments from medical text.
Topics Used: Natural Language Processing (NLP), Named Entity Recognition (NER), spaCy, Python.

Predictive model to analyze customer churn in the telecom sector, highlighting factors affecting retention.
Topics Used: Classification Models, Random Forest, EDA, Python.

Deep learning-based model for classifying skin lesions as malignant or benign using medical image data.
Topics Used: Convolutional Neural Networks (CNNs), Image Augmentation, TensorFlow, Python.

Analysis to identify the key variables contributing to loan defaults, providing insights for risk assessment.
Topics Used: Exploratory Data Analysis (EDA), Logistic Regression, Decision Trees, Python.

Linear Regression model for a US bike-sharing provider to predict demand for efficient operations.
Topics Used: Linear Regression, Feature Engineering, Data Visualization, Python.

Get In Touch

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

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