About

Pratap Vardhan is a highly skilled full-stack data science engineer from India, currently working as a Principal Data Scientist at Khan Academy. He is passionate about building interfaces that help people tell stories using technology and data. With over 12 years of relevant experience, Pratap has a proven track record of building products and tools that make sense of data. Pratap's work involves identifying problems, data sources, and outcomes by talking to people. He is skilled in cleaning, analyzing, and communicating insights from data. He identifies technology, algorithms, and frameworks to solve problems and develops and deploys machine learning models. Pratap is also adept at automating patterns of insights and product-izing reusable components. He builds scalable data applications that are user-friendly and efficient. Pratap has worked with several companies in the past, including Stats of India, where he worked as a Builder, and Gramener, where he served as a Principal Data Scientist. He has also completed a B.Tech in Electronics & Communications from Maulana Azad National Institute of Technology and attended P. Obul Reddy Public School in Hyderabad. Pratap is proficient in several technologies, including Data Science, Research Science, Javascript, SQL, ML, Python, NLP, Pandas, Scikit, Pytorch, Django, Web, Tensorflow, VueJS, AWS, Azure, Jupyter, Frontend, Computer Vision, Adversarial Networks, Corpus, scikit-image, Data Engineering, Redis, Docker, Neural Networks, PHP, ETL, Flask, ui, and Backend. He is also active on Github and Twitter and welcomes anyone with an interesting idea to work together.