Nsikan Udoma

Data Analyst Trainee

Masterschool•  July 2022 - Present

Skills/Tools Used: SQL, Python, Tableau, Excel & Google Sheets, A/B Testing, Data Pipelines, APIs & Web Scraping  Converted research questions into advanced SQL queries to extract, manipulate and analyze large datasets from PostgreSQL, MySQL, SQL Server & SQLite databases, and also from data warehouses (AWS Redshift, Google Big Query and Azure Databricks).  Completed complex EDA projects & automated data wrangling tasks using Python libraries: Pandas, NumPy, Matplotlib, Seaborn, JSON, Scikit-Learn for predictive modeling, Beautiful Soup for web scraping, & requests.get() for data gathering via URL & APIs.  Developed interactive Tableau dashboards to identify trends in customer churns for a bank’s credit card service, most profitable & poor-performing locations & product categories for an e-commerce startup, and flight delays & cancellations for U.S airlines in 2015.  Assisted students in my Data Analytics cohort by sharing project observations, tips, and responding to questions in slack channels.