About

Himanshu Negi is an Artificial Intelligence leader and Data Science architect with over 9 years of experience in the field. He holds a double Masters in AI/ML and Computer Science Engineering. With a strong passion for Analytics, Data Science, Machine Learning, and Artificial Intelligence, Himanshu has a deep understanding of statistical concepts and algorithms like Linear regression, Support Vector Machines (SVM and SVR), Logistic Regression, ANN, Naive-Bayes, KNN, and Random Forest. He has also worked on Text analytics, Classification, Regression and Natural Language Processing (NLP) problems. Himanshu is a self-taught and self-motivated Data Science Lover with expertise in Azure Machine learning. He has built, deployed and shared predictive analytics solutions on the cloud. Himanshu has worked on R, Python, and Scala, and has published a research paper on analytics. He also has experience in Dimension reduction concepts like Principle Component Analysis (PCA), LDR, and Business metrics and concepts. Currently, Himanshu is working as a Data Science Leader (Agronomy, IOT) in the India team at Arable, a company that aims to connect all the world’s farms and provide high-quality data to power predictive analytics that will help optimize the global food system. His past experience includes working as an Agronomy Senior Data Scientist at Arable and a Data Science Project Lead at Ecolab. Himanshu has completed several courses and certifications in Data Science and Machine Learning, and his specialties include Text analytics, HR recruitment model, Market Basket Analysis in Spark, Time series Forecasting, Data Exploration, Feature Selection, Dimension reduction, Machine learning Algorithms, Azure machine learning, and Data Science languages. He is proficient in tools like Spark, Hive, WinScp, Tortoise GIT, Tableau, and Advanced Excel. Himanshu has 24K followers and 37+ million LinkedIn post views, making him a thought leader in the field of Data Science and Artificial Intelligence.