Recent mechanical engineering graduate with a strong foundation in quantitative analysis, mathematics, and problem-solving. Eager to apply data science skills acquired through coursework and projects to contribute effectively to data-driven decision-making in a dynamic environment.
Power BI dashboard for HR: Tracks employee data (working hours, attendance, performance, leaves) to streamline processes, increasing efficiency and saving 3-4 hours of HR work daily.
Analyzed BikeStores sales data from 2016-2018: Identified trends,revenue per region, store, category, and brand. Used SQL for database creation Excel for cleaning and initial analysis, and Tableau for interactive dashboards.
Hotel Rating Classification using NLP and Sentiment Analysis (Hotel Industry) Designed Naïve Bayes model and analyzed whether the review is Positive or Negative. Deployed a model with an accuracy of 95%.