Anushka Mitra
About Anushka Mitra
Anushka Mitra is a Business Intelligence Analyst at Alkermes in Athlone, Ireland, with a background in data analysis and statistics.
Current Role at Alkermes
Anushka Mitra is currently working as a Business Intelligence Analyst at Alkermes in Athlone, County Roscommon, Ireland. In this role, she leverages her extensive skills in data programming, visualization, and statistical analysis to support business intelligence initiatives. Her expertise in Python, R, SAS, and SQL helps her manage and interpret complex data sets, providing valuable insights to drive business decisions.
Previous Experience at KPMG Ireland
Anushka Mitra served as a Data Analyst at KPMG Ireland in Dublin from 2019 to 2020. During her 11-month tenure, she honed her skills in data visualization using Tableau, data mining with Rapidminer, and statistical analysis with MINITAB and MATLAB. Her role involved performing advanced inferential techniques and statistical quality control, contributing to data-driven decision-making processes.
Educational Background
Anushka Mitra has a strong academic background in statistics, holding an MSc in Statistics from University College Dublin, completed in 2019. Prior to that, she earned her BSc Honours in Statistics from St. Xavier's College (Autonomous), Kolkata, in 2018. Her foundational education includes an Indian School Certificate from St. Stephens School, Dumdum in Mathematics, Economics, Geography, and Political Science, and a WBBSE certification from Loreto Day School, Sealdah, Kolkata.
Skills and Expertise
Anushka Mitra is proficient in a variety of technical skills and methodologies essential for data analysis and business intelligence. She brings expertise in data programming with Python, R, and SAS, as well as data visualization with Tableau. Her skill set includes time series analysis, multivariate analysis, predictive analytics, and statistical machine learning. Additionally, she is experienced in using SQL for data management and analysis, and she has professional exposure to probability theories, sample survey, and econometrics.