About

Pavan Tiwari is a skilled Data Scientist, Machine Learning Engineer, and RPA Developer with over 2 years of experience in various business domains, including education, logistics, and retail. He is proficient in Machine Learning, Python, Data Acquisition, Data Validation, Predictive Modeling, Data Visualization, and Data Mining with large data sets of Structured and Unstructured data. With extensive knowledge in mathematical modeling, statistical analysis, predictive analytics, and machine learning techniques, Pavan is well-versed in Machine Learning algorithms such as Linear Regression, SVM, KNN, Naive Bayes, Random Forest, CART, K-means Clustering, Hierarchical clustering, K-Nearest Neighbor, PCA, Feature Selection, Neural networks, and NLP. Pavan has experience in transforming business requirements into analytical models, designing algorithms, and developing data mining and reporting solutions that scale across large volumes of structured, semi-structured, and unstructured data. He has worked with statistical programming languages and data analysis tools such as Python and SQL. Pavan is also experienced in Applied statistics, Exploratory Data Analysis, and Visualization. As a Data Science Intern at Innomatics Research Labs, Pavan manages the entire Data Science project life cycle, actively involved in all phases, including data collection, data pre-processing, EDA and statistical methods, model building, and model validation. He is proficient in creating presentations, worksheets, and dashboards solving complicated client problems and communicating precise insights. Pavan has worked as a Machine Learning Mentor intern at Regex Software Services, an edtech software company that makes students ready for the industry. He was in charge of guiding students' projects and solving their doubts in Machine Learning. He has also worked as a Software Engineer at ArcelorMittal. Pavan holds a degree in Data Science from Eckovation and a Bachelor of Technology in Computer Science from Oriental University. He is proficient in Data Science, Machine Learning, Research Science, UI, Python, SQL, Naive Bayes, SVM, Random Forest, NLP, Neural Networks, and Software Engineering. With 3.35 years of relevant experience, Pavan is a highly skilled and motivated professional who is passionate about solving complex problems using data-driven approaches.