About

Chirag Lodaya is a seasoned Data Science professional with over 1.95 years of experience in solving end-to-end real-world data science-based problems. He is currently working as a Data Scientist-II at antuit.ai, which is now part of Zebra Technologies, in the Forecasting and Digital Supply Chain team. Chirag has a strong background in Data Analytics and Predictive Model building using Machine Learning and Deep Learning techniques. Chirag's preferred tools and libraries include Python, Pyspark, DataBricks, Tensorflow, Keras, Scipy, Scikit-learn, Numpy, Pandas, Matplotlib, and Seaborn. He has experience in Predictive Modelling for end-to-end AI-powered SaaS solutions, generating CPG and retail insights, and enabling faster, smarter, and more profitable decision-making in the digital supply chain life cycle. Before joining antuit.ai, Chirag worked as a Data Analyst - R&D at Dozee, where he was responsible for Statistical and Predictive Modelling, Clustering, and Time Series Analytics of body vitals data for contactless health monitoring devices. He also worked as a Technical Solutions Engineer Associate at Akamai, where he was responsible for troubleshooting complex Content Delivery Network issues related to Application layer protocols, Origin Storage, Streaming, and other OTT technologies. Chirag has a strong educational background, having completed a Post Graduate Program in Artificial Intelligence, Machine Learning & Data Science from Texas McCombs School of Business in 2021. He also holds a Bachelor of Engineering in Electronics and Communication Engineering and an Undergraduate Program in Computer Science from KLE Technological University, both completed in 2019. Chirag's tech stack includes Data Scientist, Research Scientist, AI, Python, Keras, Seaborn, Deep Learning, Scikit, Databricks, ML, Tensorflow, Pandas, Naive Bayes, SVM, CNN, Neural Networks, and MySQL. He is an expert in his field and has a passion for solving complex problems using data-driven solutions.