Aug 2023 - Sep 2023

Data Science Intern

Applied Python, Pandas, and visualization libraries (Matplotlib, Seaborn) for statistical analysis, uncovering key insights into survival trends, age demographics, and socio-economic factors. Built a decision tree classifier to predict customer purchasing behavior achieving an accuracy of 87.18%. Conducted sentiment analysis on Twitter data using Python, NLP techniques, and sentiment analysis libraries. Identified a predominant neutral sentiment trend, showcasing proficiency in data extraction, text processing, and analytical interpretation.

Jul 2023 - Aug 2023

Data Science Intern

Executed data preprocessing with mean and mode imputation and one-hot encoding. Utilized Python, Pandas, and Scikit-learn for extensive EDA, uncovering key patterns in age-related and gender-based absenteeism. Designed and optimized predictive models, specifically using Linear Regression and Random Forest Regression in Scikit-learn. Applied GridSearchCV for hyperparameter tuning and engaged in feature engineering, creating variables like "TotalExperience" to enhance model effectiveness. Employed Tableau alongside Python visualization tools (Matplotlib, Seaborn) for impactful data presentation. The visualizations effectively showcased correlations and trends, aiding in strategic decision-making for HR policies.

Jun 2023 - July 2023

Data Analyst Trainee

Performed extensive data manipulation and statistical analysis, leveraging advanced techniques in conjunction with SQL to extract insights in Health Economics. Demonstrated proficiency in technical support and collaboration across diverse teams. Utilized SQL and PowerBI for concise data visualization, highlighting age differences and revealing Medical Insurance patterns among right and left-handed individuals.

Jan 2023 - Dec 2023

Graduate Teaching Assistant

Mentored students in information systems analysis and design, focusing on real-world problem-solving through strategic planning, budgeting, feasibility analysis, ROI evaluation, and traceability matrix development. • Directed student projects in Information Systems Analysis and Design, focusing on essential components like Business Overview, CRM, and Requirements Traceability Matrix. • Emphasized documentation of current business processes and the creation of logical models. • Mentored students in conducting cost-benefit analysis, ROI, and NPV assessments. Guided projects with an emphasis on practical skills, including breakpoint analysis and effective constraint management, fostering a holistic understanding of information systems analysis and design principles.

Jun 2021 - Nov 2021

Python Developer Intern

Developed a data analysis tool using Python and Pandas, leading to a 30% reduction in data processing time. Identifying and resolving critical performance bottlenecks, resulting in a 20% improvement in system efficiency. Creating comprehensive technical documentation for developed modules, facilitating knowledge transfer, and contributing to team knowledge-sharing sessions.