About

Lalbabu Ray is a highly skilled Data Science Analyst with over 1.10 years of relevant industry experience. Currently working at Tiger Analytics as a Data Science Analyst, Lalbabu has extensive experience in data analysis and building data-intensive applications. He is proficient in predictive modeling, data processing, and data mining algorithms, as well as scripting languages, including Python. Lalbabu has a strong ability to create, develop and statistically test machine learning models. At Tiger Analytics, Lalbabu is responsible for data preprocessing, exploratory data analysis, and business interpretation of machine learning models, as well as performance optimization. He has a deep understanding of the latest trends and technologies in data science and is constantly updating his skills to stay ahead of the curve. Prior to joining Tiger Analytics, Lalbabu worked as an Analytics Consultant at Equifax, where he provided analytics solutions for banking, retail, telecom, and fintech sectors. He has a proven track record of delivering high-quality solutions and has received praise from clients for his ability to understand complex business problems and provide effective solutions. Lalbabu's technical skills include Data Science, Machine Learning, Python, and testing. He is a highly motivated individual who is passionate about using data to solve complex business problems. Lalbabu is a great team player and is always willing to go the extra mile to ensure project success. In summary, Lalbabu Ray is a talented Data Science Analyst with a strong track record of delivering high-quality solutions. He has a deep understanding of data analysis and is proficient in a range of tools and technologies. Lalbabu is an excellent communicator and is able to work effectively with both technical and non-technical stakeholders. He is a valuable asset to any team and would be a great addition to any organization looking to leverage data to drive business success.