About

Kaushik Gaikwad is a highly skilled Data Scientist with a proven track record of developing end-to-end data science solutions, from understanding business requirements to model deployment and maintenance. He is a firm believer in continuous learning and has a strong proficiency in Python, SQL, Git, Docker, Kubernetes, MLFlow, AWS, and FastAPI. Currently, Kaushik works as a Data Scientist at Rapido, where he is responsible for developing and implementing data-driven solutions to optimize business operations. Prior to this, he served as an Associate Data Scientist at Rapido and gained valuable experience as a Data Science Intern at MSCI Inc. Kaushik holds a Bachelor of Technology degree in Electrical and Electronics Engineering from Birla Institute of Technology and Science, Pilani. He graduated in 2020 and has since then been actively pursuing his passion for data science. With a relevant experience of 2.78 years, Kaushik possesses a diverse tech stack that includes expertise in Data Science, Research Science, SQL, AWS, Python, Kubernetes, Docker, ML, Naive Bayes, Random Forest, Keras, Seaborn, Word2Vec, Deep Learning, NLP, Scikit, test, Pandas, and Neural Networks. Kaushik is a highly motivated individual who is passionate about using data to drive business decisions. He is a quick learner and always looking for new challenges to expand his knowledge and skills in the field of data science.