• University: University of Michigan
• College: NA
• Major: Data Science
• Minors: NA
• Start Date: 19 January 2023

Data Analyst

Developed predictive models (Random Forest, Logistic Regression), improving business forecasting accuracy by 20%. Built and automated Python-based data pipelines with Azure Data Lake and SQL for real-time data processing. Applied supervised & unsupervised learning to extract insights, enhancing customer behaviour analysis. Integrated predictive analytics into Power BI dashboards, reducing manual reporting tasks by 40%. Optimized data cleaning processes using Pandas and NumPy, improving data quality by 20%. Managed structured and unstructured data in Azure, improving data extraction and BI tool performance.

Data Analyst

Analysed survey data from 10,000+ students using Python, reducing processing time by 30%. Cleaned and pre-processed large datasets, ensuring 98% data accuracy for analysis and visualization. Developed interactive Power BI dashboards, improving business decision-making processes by 25%. Applied Logistic Regression and Clustering to predict target audiences with 85% accuracy. Built predictive models to identify student behaviour patterns, improving audience targeting efficiency by 20%.

• LGBTQ: no
• Ethnicity: Asian
• Disability: no
• Veteran: no
• First-generation College Student: yes
• Pell Grant Eligibility: no
• Work Authorization: yes
• Visa Sponsorship: no