Worked for firms and startups in User Research, Human Resources, E-Commerce, Medical science, Fintech, Travel and Adventure sportsFirms worked with - Hureo, Dagda, Skuad, NewHorizonsCDC, Avathi, TechExped, Whirr, Nsync, IDROnline, Packt, Greyatom, Edvancer, Relevel, Times Professional learning and others.Developing machine and Deep learning models using Python, Scikit learn, Tensorflow, Keras and PytorchBuilding statistical analyses for a UX research firm which works on user study, product testing and reviews using RCreating analytics and planning dashboard for company performance tracking and planning using d3.js, and highchartsDesigned, ideated and developed Frontend using React, Angular/AngularJs and Backend using Django and Node.jsReviewing the book content and testing the code snippets and Jupyter notebooks.Creation of Unit tests for the Machine learning and Deep learning codes in the books.Teaching learners frontend programming by using a mixture of Pedagogical and Andragogical techniques.Creation and curation of computer science and frontend study material.Development of Capstone projects for Node and ReactContent development and teaching machine learning to a batch of 15-20 studentswhich included recent graduates and professionals with years of experience.Machine learning using Scikit-learn, NumPy, SciPy, Pandas, Matplotlib, Scrapy, Tensorflow.

Using browsing data and scrapped data from website to categorizewebsites based on advertising taxonomies usingUnsupervised deep learningUsing the graph method to retrace user browsing patterns todetermine user’s intent of visit and using that for calculation ofuser value on internetLed and managed the development of the tech stack of Dagda– Chrome extension, backend and frontendNode, React, MongoDB

Teaching fundamentals of rock climbing in a fun, laid back and supportive setting

Everything along with a lot of Tech and Data scienceOperations, Sales, Frontend and Backend

Building machine learning based anomaly detection platform

Building machine and deep learning models using Python

Machine Learning for Home, Auto insurance provider, Electronics component manufacturer, FMCG firmTime Series Forecasting for FMCG firm

Led a team of 7 people at the age of 21Worked in the supply chain division and optimised the Inventory by planning for different steps of the project.Design review and execution of projects

Supply chain optimisationAssembly line efficiency