About

Anuj Johri is a Senior Machine Learning Engineer at Quantiphi with a passion for data analysis and building machine learning models that solve business problems. With over 1 year of experience as a data scientist and 2+ years of experience as a SQL Database Administrator, Anuj has an overall experience of 4 years in the IT field. Anuj is proficient in data cleaning, data wrangling, data visualization, data analysis, deriving insights and machine learning, deep learning, and NLP. He has hands-on experience with SQL, Python, Pandas, Numpy, Scipy, Plotly, and the Linux operating system. Anuj's IT skills and project experience include developing a time series model to predict future sales forecast, developing and deploying QnAMaker using text analysis, developing an NLP model to classify products based on their description, working as a DBA SQL Server studio, having hands-on experience with Azure cloud services, creating web apps using Flask framework, and creating APIs and making API calls using Postman. Anuj has previously worked as a Data Scientist at Ignatiuz Software, where he worked on several projects, including time series forecasting, QnA Maker, sentiment analysis, hiring module, and text classification. He has also worked as a Software Engineer at L&T Infotech, where he created an automated windows job, managed the annual disaster recovery activity test for the client, received a certificate of appreciation for solving the most number of tickets in a quarter, and worked on a SFTP project for transferring files from JD Edwards to the bank. Anuj holds a Bachelor of Engineering (BE) in Electronics and Telecommunication Engineering from Bhartiya Vidya Bhavans Sardar Patel Institute of Technology. He is skilled in ML, SQL, NLP, research scientist, deep learning, data scientist, Flask, big data, sentiment analysis, text classification, Python, Pandas, Azure, web, software engineer, and test. With almost 5 years of relevant experience, Anuj is a valuable asset to any team.