Supervised Machine Learning Algorithms W Python (PT 1-2)
Deploy supervised training/testing models with python code to explore the intersection of supervised machine learning algorithms and weather data to drive ClimateWins forward.
Exploratory Data Analysis
& Visualization w Python
Utilizing python to conduct an initial data and exploratory analysis for Instacart to uncover sales patterns, derive insights, and segmentation strategies.
Client-Loss Predictive
Modeling W Decision-Tree
Using a predictive model to identify and segment banking members with a high likelihood of either exiting the bank or remaining as active or non-active members.
Comprehensive Analysis
With Python
Conducted an in-depth analysis of Citi Bike data using Python and Tableau to uncover user behavior patterns, station demand trends, and customer demographics. Leveraged clustering and predictive analysis to provide actionable insights for optimizing station placements, enhancing service efficiency, and tailoring offerings to diverse customer segments..
Cleaning Relational
Databases W SQL
Utilizing SQL querying with relational databases to understand, prepare, and answer business questions for an online video rental company.
Statistical Analysis
& Hypothesis Testing
Analyzing trends for a medical staffing agency during influenza season, ensuring proactive national staffing planning for increased demand. (public data)
Descriptive Analysis
& Visualization w Excel
Utilizing Excel to optimize 2017 marketing budget for maximum ROI. Guide the executive board through results and facilitate informed budget redistribution decisions.
View My Data Analyst
Portfolio as pdf
As a graduate of CareerFoundry, all of my data analysis projects apply up-to-data ethics principles and practices to real-world scenarios using open-source data and/or fabricated data for educational purposes only.