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πŸ‘‹ Hey there! Nice to see you.

A little about me...

I am a self-driven πŸ‘¨β€πŸ’», self-taught πŸŽ“, and highly motivatedπŸ€“ young Machine Learning Practitioner, passionate about developing cutting-edge AI technologies πŸ’« to solve real-world problems.


GIF

Talking about Personal Stuffs:

  • πŸ‘¨πŸ½β€πŸ’» I’m currently working on something cool πŸ˜‰;
  • I have 3 years of experience, specializing in Python and expertise in the latest Generative AI concepts including Large Language Models (LLMs) like GPT, RAG (Retrieval-Augmented Generation), Embedding, and Information Retrieval from unstructured documents (NLP concepts).
  • Additionally, I have a sound understanding of Statistics, classical ML concepts, and deep learning algorithms.
  • I have strong capabilities in MLOps, including Azure ML, and end-to-end deployment processes.
  • Currently, I'm delving into Natural Language Processing (NLP) and learning how to build complex RAG pipelines for information retrieval using unstructured documents.
  • I'm also expanding my expertise to include dynamic Time Series Forecasting pipelines.
  • πŸ’¬ Ask me about anything, I am happy to help;
  • πŸ“Resume

Technical Expertise:

  • Generative AI: Proficient in Large Language Models (LLMs) such as GPT and RAG, capable of generating human-like text and performing retrieval-augmented generation tasks.
  • Natural Language Processing (NLP): Skilled in NLP concepts including embeddings, information retrieval, and sentiment analysis.
  • Machine Learning Operations (MLOps): Experienced in deploying ML models using Azure ML and managing end-to-end deployment pipelines.
  • Time Series Forecasting: Building dynamic pipelines for time series forecasting using state-of-the-art techniques.
  • Cloud Deployments: Well-versed in deploying AI solutions on the Azure cloud platform, ensuring scalability, reliability, and security.

Feel free to reach out if you want to discuss AI, ML, or anything tech-related!

🀹 Skill Zone

πŸ“¬ Find me at

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Research & Publications:

I have publised two research papers. You can see the edescription below.

No. Decription Published GitHub Repo Link to Publication
1. Detection of Coronavirus(Covid19) disease using Deep Convolutional Neural Networks with Transfer Learning using chest X-Ray Images Under Review Code Link
2. MLAI: An Integrated Automated Software Platform to Solve Machine Learning Problems Published Link Link

ML Competitions on HackerEarth

The following table contains all the code bases of the competitions that I participated on HackerEarth. The original repository is uploaded in my GitHub account in their respective repos. However, for easier browse through specific problem and solutions, this table may come handy to you. Keep Learning!

No. Challenge Name GitHub Repo Type Position LeaderBoard
1. HackerEarth Machine Learning challenge: Calculate the severity of an airplane accident Solution* Classification 1 st / 7449 teams (Winner) Link
2. HackerEarth Deep Learning Challenge: Snakes in the hood Solution* Classification 13 th / 3389 teams (top 0.3 %) Link
3. HackerEarth Machine Learning Challenge: Carnival Wars Solution* Regression 23 rd / 2144 teams (top 1%) Link

Projects Repos

No. GitHub repo Description Category
1. Self Driving Car using Raspberry Pi & Arduino We optimized Canny Edge Detection algorithm incorporating with pixel intensity distribution} to identify parallel pathways which is better than existing technology.The car can detect Road Signs and can also interpret traffic Light Signal using OpenCV and controls itself accordingly by forwarding impulses to Arduino to control rotor's rotational speed Lane & Object Detection
2. Alpha AI : Automated ML Web App Alpha AI is an automated web platform that helps students & data scientists to dig deeper into the data, finding insights and comparing different ML models based on two use cases(Regression & Classification). Auto ML
3. Movie-Recommendation-System This is a Streamlit based Movie Recommendation System build on Content Based Filtering & Demographic Filtering (Plot Description , Popularity/ Genres/ Cast/ Director). Used TF-IDF Vectorizer . Recommendation System
4. AutoScan - Text Extraction Application Working on a Text Extraction & Labeling Application which could extract and label texts From Business Cards, PDFs and Images using tesseract, and BIO Tagging. Here is the outcome of the code. . OCR
5. Table Transformer : Detection Of Tables Uisng Table Transformer This Repository contains code for Detecting Tables from Images, Cropping The Tables and perform Table Extarction. OCR

πŸ“ˆ My GitHub Stats

Sghosh1999

Sayantan Ghosh's Projects

aethos icon aethos

Automated Data Science and Machine Learning library to optimize workflow.

ann-model icon ann-model

It is an artificial Neural Network Model to determine probability of a customer of staying in the bank or leave the bank using Stochastic Gradient Descent Algorithm(Adam-Optimization Algo)

autoscan icon autoscan

Business card Details Extraction Pipeline

awesome-streamlit icon awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

bluffing-model icon bluffing-model

This is a bluffing Model which determines wheather an employee is bluffing or not of his expected salary.This Model helps to predict the exact salary with an accuracy of 99.74%

bootstrap-styling icon bootstrap-styling

It is my personal Blog and my official Website made by java-script,j query,css,bootstrap.

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