Veeramalla Bhoomika — Data Analyst
As a quantitative analyst at Dolat Capital, I apply machine learning techniques to develop and optimize trading strategies, models, and algorithms. I work with a team of experts and researchers to analyze large and complex datasets, identify patterns and trends, and generate insights and recommendations. I also leverage my skills in Python, Pandas, and NumPy to implement and test software solutions and automate workflows. Prior to joining Dolat Capital in July 2023, I completed a three-month internship at Trillbit Inc, where I contributed to the development of a novel audio recognition and authentication algorithm. I graduated from IIT Kharagpur in 2023 with a bachelor's degree in mechanical engineering. I am passionate about applying my knowledge and skills to solve real-world problems and create value for society. I am always eager to learn new technologies, methods, and domains, and to collaborate with diverse and talented people.
Stackforce AI infers this person is a Quantitative Analyst with expertise in Fintech and algorithm development.
Location: Bengaluru, Karnataka, India
Experience: 2 yrs
Skills
- Machine Learning
- Data Analysis
- Algorithm Development
Career Highlights
- Expert in machine learning and data analysis.
- Developed innovative audio recognition algorithms.
- Strong background in quantitative analysis and trading strategies.
Work Experience
Mobile Premier League (MPL)
Data Analyst (1 yr 3 mos)
Dolat Capital
Quantitative Analyst (9 mos)
Trillbit Inc
Software & Algorithm Development Intern (2 mos)
Education
Bachelor's degree at Indian Institute of Technology, Kharagpur