Siddharth Kamble
About Siddharth Kamble
Siddharth Kamble is a Machine Learning Engineer and Data Scientist currently employed at Bungee Tech in Pune, India. He holds a Bachelor of Engineering in Instrumentation Engineering and has experience in building data pipelines, developing dashboards, and collaborating with cross-functional teams.
Work at Bungee Tech
Siddharth Kamble has been employed at Bungee Tech since 2022, where he holds multiple roles including Machine Learning Engineer, Data Scientist, Data Analyst, and Data Engineer. His work is based in Pune, Maharashtra, India. During his tenure, he has successfully built PySpark data pipelines to automate and facilitate end-to-end data flow. Additionally, he has developed dashboards and metrics using Power BI and Quicksight to monitor the quality of live data. Siddharth collaborates with cross-functional teams to enhance data processes and ensure accurate reporting.
Education and Expertise
Siddharth Kamble earned a Bachelor of Engineering in Instrumentation Engineering from A.I.S.S.M.S IOIT, completing his studies from 2017 to 2021. He further enhanced his skills in Data Analytics and Machine Learning through a program at Imarticus Learning from 2021 to 2022. Prior to his engineering degree, he completed his Secondary School Certificate (SSC) at New English School Ramanbaug from 2009 to 2015 and his Higher Secondary Certificate (HSC) at A.S.D.B. Dadawala Junior College from 2015 to 2017.
Previous Experience at iNeuron.ai
Before joining Bungee Tech, Siddharth Kamble worked as a Data Science Intern at iNeuron.ai from 2021 to 2022. This role was conducted remotely and lasted for six months. During his internship, he gained practical experience in data science methodologies and contributed to various projects, enhancing his skills in data analysis and machine learning.
Machine Learning and Data Analysis Skills
Siddharth Kamble has developed a strong foundation in machine learning and data analysis. He has worked on training classification models to categorize products based on their domains. His expertise includes building data pipelines with PySpark and creating visualizations to track data quality. Siddharth's ability to resolve customer tickets efficiently has contributed to high levels of customer satisfaction.