TEAGUE O'CONNOR

Data & Business Analyst

https://www.linkedin.com/in/teagueoconnor/

ad3eyq@r.postjobfree.com 860-***-****

EXECUTIVE SUMMARY

Data and Business Analyst with expertise transforming large data sets into actionable insights, determining risk and threats, and developing mitigation plans. Skilled using a wide variety of systems and analytic software. Resolute and diligent individual with passion creating meaningful information to identify trends, patterns, or anomalies.

●Python, Pandas & NumPy Visualizations & Dashboards

●Business, Data, & Process Modeling Statistical Hypothesis & Regression Modeling

●Trends, Correlations, and Outliers Stack Developing & Front-to-Back Coding

EXECUTIVE QUALIFICATIONS

Software Distills and refines large amounts of data from multiple sources into actionable reporting for end users.

Solutions Defines implementation, manages maintenance, enhancements, support, and software decommissions.

Consistent urgency to achieve objectives, identify solutions, and remove constraints impeding progress.

Technology Continually optimizes IT governance and decision making through changing technology landscape.

Integration Creates foundation for embedding new technology into internal and external customer-facing services.

Ensures business and technology synergies focused on balanced capabilities with universal adaptation.

EXPERIENCE IMAGINATION TUTORS – West Hartford, CT (2018-Present)

PROJECT CONSULTING

Independent consultant engaged on multiple high-impact projects involving data warehousing, process validation and regression testing models.

Selected • Bank Loan Default & High-Income Customer Prediction, 2020: Cleanse, processed and transformed data

Projects: for 500K+ bank customers using Python Pandas & NumPy. Applied missing value and outlier treatments, visualized trends and correlations with Matplotlib plots. Implemented CART Decision Tree, AdaBoost, Gradient Boosted Tree to predict default rates. Built CART model to predict high income customers based on demographic information. Analyzed and interpreted 5 decision rules and proposed data-driven model to attract target demographic customers.

•Plant Flowering Statistical Hypothesis Project, 2021: Multiplicative regression model and linear additive testing to predict flowering rate for plants. Evaluated model fit using p-values. Quantified impacts using model coefficients, hypothesis testing, and delivered recommendations based on analytics.

•Covid-19 Genomic and Proteomic Expression Analysis & Exploratory Data Analysis, 2020: Analyzed data using scatter and box plots in excel. Performed F-tests to determine similarities of variances in control and disease cohorts. Applied paired t-tests with Single-Step Bonferroni and Step-Down Holm Procedure to identify 8 optimal gene sets.

• Mathematics Instructor, 2018-Present: Create supportive, engaging, empowering learning environment. Instruct core concepts of Statistics, Calculus, Algebra I & II, Geometry, and Discrete Mathematics. Facilitated Math Lab for 50+ participants. Enabled 75% graduation rate for 300+ students.

US CENSUS BUREAU – Washington, DC (2020)

ENUMERATOR DATA ANALYST

Led field units of Enumerators in communities ranking in 15th percentile for income. Analyzed census data to identify patterns, trends and insights relevant to enumeration process. Generated reports and visualizations for census officials and stake holders. Scored in top 90th percentile for data collection in Central Connecticut.

EDUCATION CENTRAL CONNECTICUT STATE UNIVERSITY – New Britain, CT

MASTER OF SCIENCE, Data Science (expected 5/2024)

SAINT JOSEPH’S UNIVERSITY – Philadelphia, PA

BACHELOR OF SCIENCE, Mathematics w/ Minor in Actuarial Science

CERTIFIED • TechTalent South Data Science Boot Camp, 2020

•TechTalent South Full Stack Developer, 2019

•Actuarial Exam P, Exam 2FM SOA/CAS

SYSTEMS & • RStudio, Python, Microsoft Power BI

SOFTWARE • SQL, Excel, Tableau, Erwin, Java Script, HTML

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