About

Ganesh Patil is an experienced Data Scientist with a demonstrated history of working in the information technology and services industry. He is skilled in SQL, R Studio, Microsoft Excel, Statistical Modelling, and Data Analysis. Ganesh has hands-on experience in SQL, Oracle, R Programming, Base SAS, and Tableau 10.4. He also has knowledge of R Shiny, Shiny Dashboard, and Machine Learning Techniques, with a Master of Science M.Sc. focused on Statistics from the University of Pune. Ganesh has worked on various projects related to data analysis and prediction of failure of assets based on historical data using Data Mining/Machine learning algorithm. He has also worked on Principal component analysis for data Reduction and multi co-linearity, Time Series Analysis to Forecast GM and CM hours, and Simulate TBF using Monte Carlo simulation based on Weibull Parameter. He has developed statistical models in SPSS statistics and SPSS Modeller and predictive modelling using R programming, SPSS Modeller, and SAS. He has also generated dashboards in Tableau for MAXIMO Data and conducted Pareto Analysis to find the Bad Actors. Currently working as a Data Analyst at Mercedes Benz, Ganesh has experience in developing cloud ETL workflow & pipeline in Azure for customer's vehicle data, using Azure Data Factory(ADF), ADLS, Databricks, and Azure SQL DB. He is proficient in scripting in R, Python, Pyspark, and SQL and building management dashboards in Tableau, plotly, and dash. Ganesh has previously worked as a Sr. Data Analyst at Hansa Cequity and an Engineer at Mercedes Benz. He completed his MSc in Statistics from the University of Pune in 2016. With 7.20 years of relevant experience, Ganesh Patil is a skilled Data Scientist with expertise in SQL, Research Scientist, ML, Data Scientist, Azure, NLP, Sentiment Analysis, Databricks, Python, and ETL.