Gregory Castor
Data Analyst
Based in New Jersey
About
Hi, my name is Gregory Castor, and welcome to my portfolio showcasing my work in data analytics and data science. I earned my Bachelor’s degree in Computer Science from Kean University and have developed strong analytical and problem-solving skills through both my academic and professional experience. I am passionate about working with data and turning complex information into meaningful insights that support better decision-making. I see myself as a dedicated team player who is always willing to contribute and help achieve team goals. In addition to my academic and professional background, I was a five-year starter on the Kean University Men’s Lacrosse Team, where I developed leadership, discipline, and teamwork skills. Thanks for visiting my portfolio, and feel free to email me!
Skills
Projects
Experience
September 2021 - Present
Part time Data Analyst Centercourt Sports Academy
• Built out the data and reporting infrastructure to provide real-time insights into the product, marketing funnels, and business KPIs, which increased new programs and customer registrants. • Led data extraction and evaluation efforts to increase marketing efforts to its customers, which saw 2 times the customer registration, and revenue. • Collaborated with management as the first data hire to formulate and report on KPIs across LeagueApp’s API that saw an annual increase to retention rate using SQL and Google Sheets. • Built data visualizations using Google Sheets for KPIs that reduced manual reporting by 10 hours weekly.
April 2022 - October 2022
Data Analyst at Evernorth
• Created and developed the code utilizing SQL and Python, created dashboards using Tableau to create reports for stakeholders. • Worked alongside a team of developers and testers to enhance requirements and assure certain specialty drug therapies are covered by insurance for its clients
July 2023-Present
Customer Success Data Analyst at NielsenIQ
Served as the primary liaison for client merchandising teams, ensuring seamless communication and alignment. Delivered customer and merchandising insights using NIQ’s proprietary market intelligence tools Embedded customer insights into clients’ merchandising routines and performance evaluations Contributed to the evolution of merchandising products, services, and client engagement models Trained retail partners on leveraging NIQ’s data solutions to inform merchandising decisions
Education
September 2016 - May 2021
BS Computer Science at Kean University
Relevant courses: • CPS 4801: Artificial Intelligence • MATH 3710: Foundations of Data Analysis
January 2022-March 2022
Data Science Nano-degree at Udacity
• Use Python and SQL to access and analyze data from several different data sources. • Use principles of statistics and probability to design and execute A/B tests and recommendation engines to assist businesses in making data-automated decisions. • Deploy a data science solution to a basic flask app. • Manipulate and analyze distributed datasets using Apache Spark. • Communicate results effectively to stakeholders.
May 2023 - June 2023
Data Science Certification with Simplilearn
• Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing; and the basics of statistics • Understand the essential concepts of Python programming such as datatypes, tuples, lists, dicts, basic operators, and functions • Perform high-level mathematical computations using the NumPy and SciPy packages and their large library of mathematical functions • Perform data analysis and manipulation using data structures and tools provided in the Pandas package • Gain an in-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline Use the Scikit-Learn package for natural language processing