Sikha Rani Das
About Sikha Rani Das
Sikha Rani Das is a Senior Data Analyst at Cape Analytics, specializing in natural language processing and machine learning techniques. She has a Master of Science in Business Analytics from Santa Clara University and previously worked as a Deputy Manager at Power Grid Corporation of India Limited.
Work at Cape Analytics
Sikha Rani Das has been serving as a Senior Data Analyst at Cape Analytics since 2019. In this role, she focuses on leveraging data analytics to drive insights and support decision-making processes. She has developed a tool that employs natural language processing to evaluate the impact of news sentiment on stock prices, showcasing her ability to integrate advanced analytics into practical applications. Her work contributes to the company's mission of providing data-driven solutions in the financial sector.
Education and Expertise
Sikha Rani Das holds a Master of Science in Business Analytics from Santa Clara University, where she studied from 2017 to 2019. Prior to that, she earned a Bachelor of Technology in Electrical Engineering from the National Institute of Technology Silchar, completing her degree in 2009. Her educational background equips her with a solid foundation in both business analytics and engineering principles. She has expertise in implementing machine learning techniques, including Random Forest and Naive Bayes, to address business challenges.
Background
Before joining Cape Analytics, Sikha Rani Das worked for eight years at Power Grid Corporation of India Limited as a Deputy Manager. Her tenure there lasted from 2009 to 2017, during which she gained valuable experience in data analysis and management within the energy sector. This role contributed to her professional development and prepared her for her current position in the analytics field.
Technical Skills and Contributions
Sikha Rani Das possesses a range of technical skills relevant to data analysis and machine learning. She actively contributes to projects on GitHub, where she showcases her proficiency in Python and data analysis techniques. Her skills also include web scraping using BeautifulSoup to gather and analyze data from online sources. Additionally, she utilizes deep learning frameworks such as Keras and TensorFlow to enhance her data analysis projects.