At DataSpark Analytics LLP, I gained practical experience in data analysis, visualization, and reporting. I cleaned, analyzed, visualized, and interpreted datasets, and created dashboards and visual reports to communicate findings.
For my Hire or Reject candidate screening project, I developed an end-to-end machine learning pipeline to classify candidate profiles. Random Forest and XGBoost models achieved approximately 96% accuracy.
My Sociology fieldwork project involved research, data collection, team coordination, and analysis, contributing to the project’s completion and presentation. I’ve also completed a professional course in Data Analytics and hold a NACTET Data Analysis Certificate.
