Work Experience

Assisted in data cleaning, preprocessing, and exploratory data analysis (EDA) using Python (Pandas, NumPy, Matplotlib) to identify trends and patterns in real-world datasets.

Built and evaluated basic machine learning models (Regression & Classification) and created visual reports using Excel/Tableau to support data-driven decision making.

Collaborated with the analytics team to transform raw business data into actionable insights for stakeholders.

Developed and optimized Python scripts for data processing, automation tasks, and basic application development using core Python and libraries like Pandas and NumPy.

Worked on real-world projects involving data analysis, file handling, and API integration, improving problem-solving and debugging skills.

Gained hands-on experience writing clean, reusable Python code for real-world data pipeline and automation tasks.

Completed certification covering data analysis techniques including data importing, cleaning, wrangling, exploratory analysis, model development, and evaluation using Python.

Completed Deloitte's virtual job simulation program — performed real-world analyst tasks including forensic data analysis, business reporting, and data interpretation as expected at Deloitte.

Completed training on networking fundamentals, cybersecurity basics, and industry-standard networking practices through Cisco's professional development program.