Dinesh Kawale is a data enthusiast transitioning his career into data science. He possesses experience in data visualization, Data Mining, MySQL, and Tableau. His background includes an engineering degree in Automobile, complemented by strong skills in machine learning, deep learning, and time series analysis. He is proficient in Python and R, and has applied these skills to predictive modeling and chatbot development.
Experience
Data Science Intern
Analyzed large and imbalance datasets by performing machine learning techniques to provide data insights, optimistic and solutions and strategic directions for making data driven decision. Built predictive and decision models using Machine Learning algorithms for various business study cases with optimization and evaluation techniques. Worked with dataset used EDA on which check Trend, Seasonality, Noise. Used different types of models of time series like AIMA, SARIMA, Holl Method, Lasso, Xgboost. End to end deployment of ML on web-based frameworks like streamlit.
Education
Dy. Patil College of Engineering
Degree In Automobile Engineering
Automobile Engineering
GH Raisoni Polytechnic
Diploma In Automobile Engineering
Automobile Engineering
Higher Secondary
High School
Licenses & Certifications
Text Analytics certificate
ExcelR solution collaboration with IBM Data science certification
IBM
Aivariant Certificate of internship
Automotive Service Technician
Honda
Training certificate
Ashok Leyland