About

Amrita Dutta is a highly skilled Software Engineer at BlackRock with a passion for using technology to make data-driven decisions. With a strong foundation in data science, quantitative and statistical skills, Amrita has developed expertise in data analytics, data visualization, data mining, project management, financial analysis, and product development. Amrita's technical skill set includes proficiency in Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn), SQL, C++, R, Tableau, Advanced MS Excel (pivots, Vlookups), MATLAB, Weka, Hadoop, PowerPoint, Gurobi, and Git. She is also experienced in reporting and analytical tools such as Jira, Bitbucket, and Azure DevOps. Amrita has a proven track record of success in various roles, including Graduate Teaching Assistant at Columbia Business School and Software Engineer Intern at Backend Benchmarking. In her previous role, she built a database comprising transaction, performance, and position data of 105+ ESG and non-ESG portfolios. She also conducted performance attribution for investment optimization using machine learning and factor analysis. Amrita holds a Master's degree in Business Analytics from Columbia University and a Bachelor's degree in Electronics and Communications Engineering from VIT. She has relevant experience of 2.10 years in her field and has worked on machine learning algorithms such as regression, classification, neural network, gradient boosting, K-fold cross-validation, decision tree, and random forest. Overall, Amrita is a highly motivated, detail-oriented, and results-driven professional who is committed to delivering high-quality work. She is an excellent team player with exceptional communication and interpersonal skills.