About

Sisir Sarkar is a highly qualified data engineer with over 5 years of experience in data analysis, mining, cleaning, and extracting valuable information from diverse data sources. He has a strong background in reporting and preparing dashboards using excel, tableau, python, and writing efficient and complex SQL queries for business. Sisir is experienced in OLAP technologies, data pipe-lining, and ETL tools like SAP data services. Sisir is knowledgeable in Python libraries such as pandas, numpy, and sklearn, data structures, SQL, and machine learning techniques such as decision trees, random forests, SVM, Naive Bayes, and linear regression. He also has experience with big data technologies like Spark. With his strong interpersonal, communication, and behavioral skills, Sisir is a team player with a passion for data and a desire to work in a challenging environment in the field of data science. He is currently working as a software engineer at Caterpillar and has previously worked as a data engineer at Bridgei2i and a data analyst at TCS. Sisir holds a Master's degree in Information Technology from IIIT and has relevant experience of 7.36 years. He is proficient in software engineering, SQL, data engineering, Python, Naive Bayes, SVM, Spark, Scikit, Big Data, ML, and data science. Sisir is an active contributor to the data science community and has a GitHub profile showcasing his work.