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Prosper Nekekpemi

Prosper Nekekpemi

Data Scientist

DWL | Houston, Texas

Technologies

My Portfolio Highlights

My New Project

Investigating Netflix Movies

My New Course

Large Language Models (LLMs) Concepts

My New Course

Introduction to Python

My New Project

Investigating Netflix Movies

Using my skills and knowledge to make data-driven decisions for companies across various sectors.

My Work

Take a look at my latest work.

course

Data Manipulation with pandas

course

Supervised Learning with scikit-learn

course

Working with Hugging Face

Python
course

Introduction to Python

course

Intermediate Python

course

Data Manipulation with pandas

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

WORLDQUANT UNIVERSITY Machine Learning and Statistical Analysis

WORLDQUANT UNIVERSITY Scientific Computing and Python for Data Science

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Introduction to R
Intermediate Python

My Work Experience

Where I've interned and worked during my career.

Outlier | May 2024 - Aug 2024

Data Scientist

• Engineered a PyTorch-based food image classification system with Hugging Face's Transformers, driving a 15% increase in user engagement by achieving over 90% accuracy in categorizing user-uploaded images on a major social media platform. • Built a demand forecasting model using PySpark for one of the company’s clients, reducing Mean Absolute Error (MAE) by 20% and accurately predicting product sales for over 10,000 SKUs, enabling the client to optimize inventory and increase on-time delivery rates by 10% during peak sales periods. • Enhanced data preprocessing efficiency by 30% through optimized SQL queries, supporting faster model training and deployment.
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Diversified Well Logging, LLC | Sep 2023 - Present

Offshore Wellsite Analyst

• Collaborated with cross-functional teams to deliver critical geological data insights, optimizing drilling and completion processes, resulting in a 10% reduction in operational costs. • Analyzed and processed rock samples with precision, enhancing data quality and leading to a $200,000 savings in drilling costs through informed decisionmaking and early detection of potential issues.

Inrika Inc | May 2023 - Aug 2023

Data Science Analyst

• Collaborated with cross-functional teams to monitor and analyze a financial fraud detection model for a key client, using Python and the nannyml library; identified performance alerts over three critical months and detected a 25% drop in model accuracy due to data drift in key transaction features, leading to corrective actions that restored model performance by 15%, saving the client an estimated $650,000 in potential fraud losses. • Developed detailed performance dashboards using Tableau to visualize model accuracy, data drift, and fraud detection rates, enabling stakeholders to quickly interpret complex metrics and make informed strategic decisions in fraud prevention. • Leveraged SQL for data extraction and preprocessing, enabling the efficient handling of large datasets.

University of Louisiana at Lafayette | Aug 2022 - May 2023

Data Scientist

• Led a sentiment analysis project for the school library, using Python's requests, BeautifulSoup, and NLTK libraries to scrape and analyze over 1,000 pieces of student feedback from the library website, identifying key areas for improvement that led to a 24% increase in student satisfaction. • Conducted A/B testing and hypothesis testing on student feedback data to evaluate the impact of proposed changes, driving strategic enhancements. • Utilized Power BI to visualize sentiment analysis results, enabling clear communication of insights to stakeholders; delivered a comprehensive report that drove strategic enhancements, resulting in a 15% increase in resource utilization within the library.

TradeDepot | Aug 2020 - Nov 2020

Data Analyst

• Analyzed online shopping behavior of over 50,000 sessions during peak months, identifying a 25.4% purchase rate for returning customers and a 27.6% rate for new customers, leading to targeted marketing strategies that boosted conversion rates by 10%. • Developed a predictive model that calculated a 92% probability of achieving at least 100 sales out of 500 sessions in a new campaign, driving a 15% increase. • Engineered a retail inventory management system using Python, creating and implementing Product and Order classes that managed over 1,000 SKUs, streamlining inventory tracking, and improving order accuracy by 30% for the company.

My Education

Take a look at my formal education

Master of Science - MS, Informatics (Data Science)  · (August 2022 - AugustUniversity of Louisiana at Lafayette | 2023
Master of Science - MS, Petroleum Engineering  · (January 2021 - AugustUniversity of Louisiana at Lafayette | 2022
Bachelor of Engineering, Petroleum EngineeringUniversity of Uyo | 2018

About Me

Prosper Nekekpemi

Data Scientist with a strong foundation in machine learning, natural language processing, and time series analysis, specializing in developing and deploying AI-driven solutions.

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