Recent Bachelor of Science graduate in Data Science with knowledge of Data Analysis, Exploratory Data Analysis, Data Visualization, and Database Management. Skilled in Python, SQL, Microsoft Excel, Power BI, and Tableau.…
Recent Bachelor of Science graduate in Data Science with knowledge of Data Analysis, Exploratory Data Analysis, Data Visualization, and Database Management. Skilled in Python, SQL, Microsoft Excel, Power BI, and Tableau. Familiar with data cleaning, data preprocessing, dashboard development, and generating insights from datasets. Passionate about applying analytical and problem-solving skills to real-world business challenges. Seeking an opportunity to start a career in Data Analytics or Data Science and contribute to organizational growth while continuously enhancing technical skills.
Developed an interactive HR Analytics Dashboard in Power BI to monitor employee attrition and workforce metrics, Analyzed key KPIs including total employees (1470), attrition count (237), attrition rate (16.1%), average age (36.92), average salary (6.5K), and average tenure (7.01 years), Gained insights into attrition trends segmented by age, gender, education, salary range, job role, and years at the company, Identified highest attrition among the 26–35 age group and lower salary brackets, with significant exits in roles such as Lab Technician and Sales Executive, Utilized Power BI for visualization, DAX for calculated measures, and Excel for data import and preprocessing
Developed an AI-powered resume screening system that automates the classification of resumes into job categories such as Data Science, HR, Marketing, and Software Engineering, Implemented NLP techniques (tokenization, stopword removal, lemmatization) and TF-IDF vectorization for feature extraction, Trained and evaluated multiple machine learning models, achieving 94.3% accuracy using Logistic Regression, Deployed a Flask-based web app allowing recruiters to upload PDF resumes and instantly view predicted job categories and top extracted keywords, Automated resume parsing and text classification using NLP and ML, Built an end-to-end web-based system with 94.3% classification accuracy, Improved screening efficiency by reducing manual effort and bias, Designed a lightweight, user-friendly interface suitable for HR professionals
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