Souma Subhra Chatterjee
About Souma Subhra Chatterjee
Souma Subhra Chatterjee is a Data Scientist at HSBC in Bengaluru, India, specializing in natural language processing and sentiment analysis. He advocates for knowledge sharing in data science and writes blogs to simplify machine learning concepts for beginners.
Work at HSBC
Souma Subhra Chatterjee has been employed as a Data Scientist at HSBC since 2022. Based in Bengaluru, Karnataka, India, he has contributed to various data-driven projects within the organization. His role involves utilizing advanced data science techniques to enhance decision-making processes and improve operational efficiency.
Previous Experience at Mindtree
Prior to his current position at HSBC, Souma Subhra Chatterjee worked at Mindtree in several capacities. He began as a Software Engineer Intern in 2018 for a duration of two months. He then progressed to a Software Engineer role from 2019 to 2021, where he worked for two years. Following this, he served as a Senior Engineer from 2021 to 2022 for nine months, further developing his skills in software engineering and data science.
Education and Expertise
Souma Subhra Chatterjee holds a Bachelor of Technology (B.Tech.) degree in Computer Science from the National Institute of Science and Technology (NIST), Berhampur, which he completed from 2014 to 2018. His foundational education includes studies at Delhi Public School, Bokaro Steel City, where he completed his AISSCE, and D.A.V. Public School, Kathra, Bokaro Thermal, where he achieved his AISSE. He specializes in natural language processing and sentiment analysis, with expertise in deep learning algorithms such as Convolutional Neural Networks and Generative Adversarial Networks.
Advocacy and Knowledge Sharing
Souma Subhra Chatterjee is an advocate for knowledge sharing and education in the field of data science. He actively writes blogs that focus on simplifying complex machine learning concepts for beginners, aiming to make data science more accessible to a wider audience. His commitment to education reflects his belief in the importance of continuous learning in the rapidly evolving tech landscape.
Technical Skills and Tools
In his professional work, Souma Subhra Chatterjee utilizes a variety of Python libraries for data exploration and machine learning tasks. His toolkit includes libraries such as numpy, pandas, and scikit-learn, which are essential for data manipulation and analysis. His proficiency in these tools supports his work in developing data-driven solutions and enhancing analytical capabilities.