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Achievement: Starstruck

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Achievement: Starstruck

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Rohan-Thoma/README.md

Hi👋 I am Rohan Thoma

Ambitious Machine Learning/Deep Learning Engineer proficient in leveraging data for strategic decision-making and generating impactful applications and insights using data analysis, machine learning and deep learning along with expertise in computer vision and natural language processing.

😎 Find the link to my LinkedIn Profile here : LinkedIn
📝 Find the link to all my blogs here : Medium
🏆 Experience the interactive web app deployed for an Ecommerce Deep learning project : Streamlit webapp

⚡As an adaptive fast learner who is not afraid of experimenting and exploring new horizons, I have a keen understanding of Deep Learning and Machine Learning as an evolving, disruptive field where we need to adapt with the fast evolving technology which involves being able to learn new concepts but also unlearn the old ones if necessary.

💻 Tech Stack:

Python TensorFlow Keras PyTorch NumPy Pandas scikit-learn Scipy Plotly Shell Script Java
JavaScript Postgres SQLite MySQL Docker Apache Spark Flask

🎯 My favourite quote of all time

"Empty your mind, be formless, shapeless, like water. If you put water into a cup, it becomes the cup. You put water into a bottle, it becomes the bottle. You put it in a teapot, it becomes the teapot. Now, water can flow or it can crash. Be water my friend"
- Bruce Lee

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  1. Coding-attention-from-scratch Coding-attention-from-scratch Public

    This repository consists code for executing attention mechanism from scratch for language translation models. This is coded from ground up for translating Italian to English completely without any …

    Jupyter Notebook 2

  2. Multiple-choice-question-generator-using-NLP Multiple-choice-question-generator-using-NLP Public

    Project aims at generating multiple choice questions along with the options and correct answer using NLP and Large Language Models, so that given any text from any text book , the model will genera…

    Jupyter Notebook 19 2

  3. Netflix-Movie-Recommendation Netflix-Movie-Recommendation Public

    This repo contains the implementation of netflix's original recommender system based on matrix factorization which changed the recommender systems forever 10 years back. Delve in to the notebooks t…

    Jupyter Notebook 4 3

  4. Ecommerce-product-image-classification Ecommerce-product-image-classification Public

    A detailed end to end deep learning case study for large scale multi-class classification of ecommerce products using image data.

    Jupyter Notebook 3

  5. Future-Patient-Eligibility-Prediction-to-a-Target-Drug Future-Patient-Eligibility-Prediction-to-a-Target-Drug Public

    An application of deep learning to medical time series data where we predict the eligibility of a patient to a “Target Drug” 30 days in advance using deep learning.

    Jupyter Notebook 1 1

  6. Logistic-regression-from-scratch-without-using-sklearn Logistic-regression-from-scratch-without-using-sklearn Public

    Implementation of logistic regression from scratch without using external libraries like scikit learn. Here we write all the code to train and validate the model and compare the weights and the res…

    Jupyter Notebook