Open to opportunities

Alexis Ihezue

@alexisihezue

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Aspiring data scientist with a strong foundation in analytics.

United States

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What I'm looking for

I seek a collaborative environment that fosters innovation and growth.

I am a dedicated and passionate data science professional currently pursuing a Master’s of Science in Statistical Data Science at Texas A&M University. My academic journey has equipped me with a robust understanding of statistical methods, data analysis, and machine learning, complemented by hands-on experience through various internships and projects. I thrive on transforming complex data into actionable insights, and I am committed to continuous learning and professional development.

Throughout my internships, I have honed my skills in marketing analytics, data quality investigation, and IT data analytics. I have successfully created comprehensive reports and dashboards, conducted competitive analyses, and developed machine learning models that predict operational impacts on businesses. My technical proficiency spans programming languages such as Python, SQL, and R, as well as data visualization tools like Tableau and Alteryx. I am particularly proud of my contributions to projects that leverage AI and machine learning to solve real-world problems.

As I look to the future, I am eager to apply my skills in a dynamic environment where I can contribute to innovative data-driven solutions. I am particularly interested in roles that allow me to collaborate with cross-functional teams and engage in projects that have a meaningful impact on business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Marketing Analytics Intern

Current

QuinStreet

Jun 2024 - Present (1 year)

Analyzed conversion rates across home service providers' webpages to enhance user experience and increase engagement. Created comprehensive reports and dashboards in Heap, identifying key insights into user behavior and areas for webpage improvement.

Heap Microsoft Clarity Excel Python A B Testing Competitive Analysis Data Analysis Web Scraping

Data & Technology Intern

Umi Digital

Jan 2024 - Present (1 year 5 months)

Carried out research and analysis for data quality investigation and presented findings and key recommendations to the team. Drew insights from user-generated content and fed that into generative AI solutions like OpenAI.

Data Quality Research Data Analysis Generative AI

AI Studio Project

Wallet Max

Aug 2023 - Present (1 year 10 months)

Coordinated with the project team to develop a machine learning model that effectively analyzes US climate data and predicts the operational impact on revenue for businesses. Incorporated Python’s scikit-learn libraries to develop regression models, allowing for the training and testing of complete data sets.

Machine Learning Python scikit learn Regression Models Data Analysis

Enterprise Operations & Technology Summer Analyst

Citi

Jun 2023 - Present (2 years)

Received technical and professional training that served as the basis for independent projects combining data visualization in Tableau and data processing and analysis in Python. Monitored the metrics and performance of different projects under the data services team using Tableau and Excel.

Tableau Python Excel Data Visualization Data Processing Data Analysis Monitoring

IT Data Analytics Intern

Signet Jewelers

Mar 2023 - Present (2 years 3 months)

Generated reports on market cannibalization and geospatial analysis using reporting tools such as Alteryx, Business Objects, and SQL. Updated and published dashboards in Tableau and performed exploratory analysis on macroeconomic factors.

Alteryx Business Objects SQL Tableau Market Analysis

Education

Degrees, certifications, and relevant coursework

Texas A&M University

Master’s of Science, Statistical Data Science

Currently pursuing a Master's of Science in Statistical Data Science. This program focuses on advanced statistical methods and their application in data science.

University of North Carolina at Chapel Hill

Bachelor of Science, Statistics & Analytics

Activities and societies: ELC Scholar 2022, Richard Epps Emerging Leader, Segal Education Award, Hayden Renwick Scholar, Honor’s Abroad (Spring 2024)

Completed a Bachelor of Science in Statistics & Analytics with a minor in Data Science. Relevant coursework included Principles of Programming for Data Science, Data Structures, and Foundations of Statistics and Data Science.

Cornell University

Certificate, Machine Learning Foundations

Obtained an online certificate in Machine Learning Foundations. This program provided foundational knowledge in machine learning concepts and techniques.