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I'm a Data & Engineering Consultant
I help startups utilize big data to build AI-powered products and mentor professionals to improve their skills in the data field by 1% every day.
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🌍 Notes on Artificial Intelligence Himanshu Ramchandani✉️ You can contact me at [email protected]
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Innovative Data Scientist with 6+ years of experience in Software Development and Data Science. Working on reinforcing business solutions with Artificial Intelligence. Eager to bring expertise to solve new challenging problems.
• 6+ years of experience in Software Development including Analysis, Design, Development, and Testing of various applications in JavaScript and Python environments.
• Experience in Functional and Object-Oriented Programming styles of Python and Javascript.
• Got good exposure to UI UX design using Adobe Photoshop, and Adobe Illustrator, Performed slicing and dicing to convert a Photoshop design into a fully functional HTML, CSS and JS enabled website.
• Expertise in Full Web Stack libraries like ReactJS, NodeJS, ExpressJS, Django.
• In-depth understanding of Python and JavaScript.
• Knowledge of Service Oriented Architecture (SOA).
• Worked for industry clients and have experience working with healthcare clients, artificial intelligence companies, finance clients, and the education sector.
Skills
Mentor
Trained 5000+ Computer Science enthusiasts in Data Science, Machine Learning, Full Stack Web Development, and major project development, with technologies like ReactJS, NodeJS, Python, SQL, Tableau, Statistics, Numpy, Pandas, Matplotlib, Scikit-Learn.
Recruited, interviewed, and hired 100+ developers to keep up with partner company's growth and expansion. Hosted more than 20 in-house AI Hackathons.
400+ Free sessions on Python and Machine Learning.
Built a community of 2500+ Data Scientists on Instagram by generating quality content on Artificial Intelligence and subfields like machine learning, deep learning, NLP, and computer vision.
Research Thesis
Knowledge tracing, is the personation of student knowledge over time with advanced machine learning algorithms. The model builds on more than 13 Crore interactions of more than 7 lakh students.
Tools | Frameworks
Web: ReactJS, NodeJS, ExpressJS, MongoDB, GraphQL
Data Preprocessing: NumPy, Pandas.
Machine and Deep Learning Implementation Framework: Scikit-Learn, PyTorch.
Natural Language Processing: NLTK, BERT. Development: Python, Flask, Django, Git.
Data Visualization: Matplotlib, Tableau, Seaborn.
Cloud Services: AWS, Google Colaboratory, Kaggle kernel.
Integrated Development Environment: Jupyter-Notebook, Sublime Text, PyCharm.
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