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Dijoraj Senroy


Full Stack + ML Developer


Hello, I am a 3rd year Computer Science Engineering Student from SRMIST, India. I love books, music, art and technology. My main interests lie in the field of Machine Learning, and I am a Kaggle Expert.
I also like to explore Web and App development technologies, and currently I'm working on learning tools like Flutter, React.js. I'm quite skilled with Deep Learning and Data Analysis frameworks, and Python is my favourite language.




Education:




My Skills and Interests:

Python Data Analysis: Pandas, Seaborn, Plotly, Numpy

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Image, Audio Processing: OpenCV, Librosa

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Machine and Deep Learning: Scikit-learn, Tensorflow, PyTorch

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Web Scraping and Automation: BeautifulSoup, PySelenium

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Front-End Development: HTML/CSS, Bootstrap 5, React.js

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Backend and APIs Development: Django, Node.js

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Cloud Apps: Azure, AWS, SaaS

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Projects and Articles:

  1. Derman: A Skin Cancer Detection App

    Made using Tensorflow and 3 state-of-the art Deep Learning Models to detect Melanoma, 6 Types of common cancer, and various other ailments and diseases.

    Link to Project Github

  2. BERT for Sentiment Analysis

    Bidirectional Encoder Representations Transformer - is google's famous NLP model, which has been implemented on stock market for sentiment analysis and named entity recognition by me here:

    Link to Kaggle Notebook

  3. Data Analysis of USA Disasters Dataset

    Graphical and analytical methods using python libraries employed to generate insights from the kaggle US Natural Disasters dataset. Tools used were Pandas, Matplotlib and Seaborn.

    Link to Kaggle Notebook

  4. Introduction to NLP Medium

    Article describing in brief all the concepts essential in the self study of the overwhelming field of Natural Language Processing. Find the article on my Medium:

    Link to Medium Article





Organisations and Work Experience:


Duration Organisations
October 2020 - January 2021

Machine Learning Consultant @ Languify.in

An IIT Bombay alums startup aimed at enriching language learning and proficiency through AI and NLP. My roled involved using Machine learning for tasks like profanity filtering,
grammatical error correction (GEC), web scraping, usage of open source python tools like OpenAI APIs etc.

September 2018 - Present

Member at Next Tech Lab

An undergraduate self-funded lab promoting research based learning at SRM University.

August 2020 - Present

Member at ACM SIGAI Student Chapter

Association of Computing Machinery, Special Interest-AI group.