Peniel Jegede

Data Scientist
Anytown, US.

About

Highly accomplished Data Scientist with robust expertise in Python, SQL, and machine learning, specializing in developing and deploying end-to-end data solutions across cloud platforms like AWS and Snowflake. Proven ability to translate complex data into actionable business insights through advanced model deployment, A/B testing, and dynamic data visualization, consistently driving strategic decision-making, optimizing operational efficiency, and maximizing revenue.

Work

Cita Marketplace
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Data Scientist / Analyst

Anytown, CA, US

Summary

Leveraged advanced analytical and machine learning techniques to optimize marketplace performance, directly impacting pricing strategies, customer retention, and revenue generation.

Highlights

Developed and deployed interactive Tableau dashboards to monitor key marketplace KPIs, empowering leadership with real-time, data-driven insights for strategic pricing adjustments.

Constructed and validated predictive ML models using XGBoost and LightGBM for dynamic price optimization, successfully improving customer retention and maximizing booking revenue.

Translated complex data findings into clear, actionable recommendations, guiding business stakeholders in making informed decisions that enhanced overall marketplace efficiency and profitability.

Neo Cloud Technologies
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Data Scientist

Anytown, CA, US

Summary

Spearheaded the development and deployment of predictive machine learning models, collaborating with cross-functional teams to deliver data-driven insights that informed critical business strategies.

Highlights

Automated sophisticated feature engineering pipelines, significantly cutting data preparation time by 30% and enhancing model training efficiency.

Designed and implemented end-to-end ML project workflows, encompassing deployment, and continuous monitoring across cloud platforms (AWS, Snowflake) to ensure model reliability and performance.

Collaborated with developers and analysts to integrate machine learning solutions into core business processes, optimizing operational workflows and fostering data-driven decision-making.

Skills

Data Visualization

Tableau, Streamlit, Matplotlib, Seaborn.

Programming & Data

Python, Pandas, NumPy, SQL.

Machine Learning

Scikit-learn, XGBoost, LightGBM, CatBoost.

Data Engineering & Cloud

AWS (SageMaker, EC2, S3), Snowflake, Docker, CI/CD, Git.

Business & Analytics

A/B Testing, Agile, Jira.

Projects

DataLens – AI-Powered Analytics Assistant

Summary

Created an AI-powered analytics assistant, DataLens, designed to automate data analysis and provide actionable insights through an intuitive web interface.

Ride Fare Optimization (End-to-End ML Project)

Summary

Developed an end-to-end data science solution for estimating ride fares, leveraging a robust Snowflake-backed pipeline for comprehensive data processing and a Streamlit web application for interactive deployment.

Credit Risk Modeling (Loan Default Risk)

Summary

Engineered a production-ready loan default risk system, achieving high predictive accuracy and designed for scalable deployment within a comprehensive ML pipeline.