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π Iβm currently working on - Data Science, Machine Learning, DevOps and Network Management
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π± Iβm currently learning - Deep learning, NLP and Computer Vision
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π― Iβve recently worked on multiple Industrial relevant projects - as part of my Masters program and am currently working on my thesis (GANs)
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π¬ Ask me about Machine learning , Deep Learning , Data Analytics, Algorithms and Design, Blockchain, Software Engineeering, MLOps and Mentoring.
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π Words that describe me - Self-motivated, Data-enthusiast, Cosmophile, Focused, Hardworking, Story-teller, Enthusiast, Ambitious
Machine learning, as a domain has always been one of my favorites. I have been actively researching and making several ML models, since 2017. I am more interested in Computer Vision, Transformers and RNNs and how they work with different libraries and algorithms to make wonders. I have hands on experience working with GANs, Gesture Recognition, Sentiment Analysis and Recommender engines.
Apart from making applications, I also like Data Analysis. It always surprises me how a little amount of data can give so much information. They are the best story tellers. Kaggle is my go to place for data exploration. I use python for my EDA projects. Some of the platforms I like to use are Kaggle notebooks, Jupyter Lab and Google Colab.
Machine Learning Enthusiast | Deep Learning | Data Analyst | Python/Java Developer | DevOps | MLOps .
To utilize my knowledge and ideas in this field of machine learning, web development and embedded system toward the smooth functioning of organization,I realised that, satisfaction is a book of achievement, which holds the learning experience records of doing, trying, twiddling, exploring, unlearning and learning again and finally succeeding in the project.
β‘ Fun facts - Less than 0.5% of all data we create is ever analysed and used.
Google uses about 1,000 computers to answer every single search query.
Nearly 80% of photos are taken on smart phones and most will become searchable data online.
Data Science Needs Great Communication, Analytical and Story-telling Skills.
75% of Data Experts use Python for Data Science Work.
Data Science is at the crossroads of Computer IT, Mathematics & Statistics and Domain expertise.