Data Science & AI Internship at IDS (Integrated Digital Systems) (2026-04 – 2026-05)
240 Hours internship focused on data analysis, machine learning, and database management.
- Data Analysis & Visualization: Performed Exploratory Data Analysis (EDA), data preprocessing, and cleaning on real-world datasets. Built interactive dashboards using Power BI and Tableau to present analytical insights.
- Machine Learning & AI: Applied core fundamentals of supervised and unsupervised machine learning techniques, predictive modeling, and model evaluation methods.
- Programming & Databases: Developed data pipelines using Python, leveraging key libraries such as Pandas, NumPy, and Matplotlib within Jupyter Notebook, alongside managing structured datasets using SQL.
- Tools & Best Practices: Utilized Git and GitHub for version control and collaborative development, while ensuring model optimization and thorough project documentation.
Data Science Intern at CodeAlpha (2026-06 – Present)
- Predictive Modeling: Built machine learning models (regression & classification) using Python and Scikit-Learn.
- Data Engineering & EDA: Cleaned, preprocessed, and visualized complex datasets using Pandas and Matplotlib.
- Model Optimization: Evaluated model performance and accuracy to deliver actionable data insights.
- Version Control: Documented and managed clean source code repositories on GitHub.
Data Collection Manager at Youth Conservation Corps (YCC) (2024-08 – 2025-01)
- Data Management: Directed and monitored environmental data collection workflows throughout the 6-month program.
- Data Integrity: Ensured high accuracy and consistency of field data for reporting.
- Process Optimization: Coordinated with field teams to streamline data tracking and entry methods.
Build with AI Training Workshop at Google Developer Groups OnCampus (AOU) (2026 – 2026)
- Generative AI & Prompt Engineering: Developed a strong understanding of Generative AI principles and mastered Prompt Engineering techniques to optimize AI models.
- Practical Application: Applied Google's cutting-edge AI technologies to analyze and solve complex, real-world challenges.
