About

Chandrateja Reddy is a highly skilled Machine Learning Engineer with a wealth of experience in building successful models across various domains. He has extensive exposure in the fields of ‘Cattle field through Computer Vision’, ‘Microbiome field’ and Finance field’ through ML, NLP, and Analytics. Chandrateja is a domain expert in Livestock and Healthcare data and has profiteering freelancing domain expertise in Retail, E-commerce, and Banking domains. He has a knacked expertise in Data Engineering field for several projects using Cloud technologies. Chandrateja is passionate about sharing his knowledge with others and has contributed to mentorship for helpers in the same network. He has accumulated research articles and shared them with the community who have the learning appetite. Chandrateja is proficient in specific areas such as Stats probabilities, Machine learning models, Deep Learning models, Azure cloud, GCP, NLP, Python, Flask, GitHub, Web applications, Heroku, Optimization techniques, logics decoding, and Hidden insights decoding. Programming is Chandrateja's forte, and he is skilled in python (low to high level) and optimized coding using data structures and algorithms. He is also equipped in handling multiple challenges in Investments trading. Chandrateja is a Kaggle holder, analytics problem solver, and revolutionizes within the tendency technologies gate-35 marks. Chandrateja's key areas in data science include Statistical Analysis & Modelling, Clustering analysis, Data pre-processing & Visualization, Regularization Techniques, Feature Engineering, Recommendation engines, Fine-tuning for best parameters, Artificial, Convolution & Recurrent Neural Networks, Auto-encoders, Restrict Boltzmann machine, Image Processing, Augmentation & Segmentation, Text Analytics, Regular expressions, Data Mining, Notations, Web development, Data Base Management System, Theory of Computation (Automate Compiler Design), and Computer Networks. Currently, Chandrateja works as a Machine Learning Engineer at Auditoria.ai, where he is responsible for building successful models across various domains. Previously, he has worked as a Machine Learning Engineer at Dvara E-Dairy and as an Associate Software Engineer at Eagle Genomics Ltd. At Eagle Genomics, he worked on multiple Azure Pipelines creations, Azure Data Lake storage Gen1 & Gen2, Data Bricks, and Azure Functions. He also generated Data Analysis reports on Microbiome data and solved NLP problems using Knowledge graphs. Chandrateja has a Post