About

Sanjaya Kumar Khadanga is a Data Science Engineer at Qsutra and a Data Science Trainee at Almabetter. He is a quick learner and problem solver with a passion for data science. Sanjaya's journey into data science began during the lockdown caused by the COVID-19 pandemic. He discovered his interest in data science by watching python tutorials, and since then, he has delved deep into the field, learning new languages, algorithms, higher mathematics, and probability. Sanjaya has a Bachelor of Technology degree from Biju Patnaik University of Technology, Odisha, and Sanjay Memorial Institute of Technology. He has worked as a Junior Data Scientist at Plexus Software Security Systems Pvt Ltd and as a Data Science Trainee at Almabetter. Sanjaya's specialties include python, R programming, tableau, SQL, power bi, Microsoft excel, understanding business problems, data understanding, data cleansing/preparation, exploratory data analysis, feature engineering, data mining, machine learning, deep learning, and artificial intelligence. He is skilled in devising and utilizing algorithms and models to mine big data stores, performing data and error analysis to improve models, and cleaning and validating data for uniformity and accuracy. Sanjaya is also proficient in analyzing data for trends and patterns and interpreting data with a clear objective in mind. When Sanjaya is not analyzing data, he enjoys improving old recipes as he is good in the kitchen and is a foodie. He also likes listening to audiobooks biographies or reading self-help books, writing his blogs, or thinking about content for his YouTube channel. With almost eight years of relevant experience, Sanjaya is an asset to any organization that values data science and its potential to drive business growth. His tech stack includes Data Scientist, Python, Spark, SQL, Deep Learning, Big Data, ML, Software Engineer, and Research Scientist. Sanjaya is passionate about data science, and he is always eager to learn more, solve more problems, and find more hidden details of data.