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Lawrence

Walmart Sales Forecasting (Machine Learning)

Nairobi, Kenya

Key Skills

Software

Other

Top Subject Matter

Retail sales forecasting and structured tabular analytics

Telecom churn prediction and delivery operations analytics

Climate risk analytics and economic impact intelligence

Top Data Types

Text

Document

Top Task Types

Classification

Computer Programming/Coding

Data Collection

Evaluation/Rating

Red Teaming

Freelancer Overview

Walmart Sales Forecasting (Machine Learning). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Certified Cybersecurity Educator Professional, Red Team Leaders (2025) and Diploma in Cybersecurity, AltSchool Africa (2026). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Computer Programming and Coding.

Labeling Experience

Global Climate Risk & Economic Impact Intelligence System

Other

Created automated Python ETL workflows to integrate climate and economic data from public APIs into a relational analytics schema. Derived rolling averages, anomaly tiers, and GDP-related computations to support risk and impact intelligence analysis. Delivered the results through an interactive Power BI dashboard with cross-filtering for exploratory analysis. • Automated ingestion of NASA GISTEMP and World Bank API data into a SQLite star schema. • Engineered rolling averages, anomaly tiers, and derived economic indicators across 15 regions. • Implemented data cleaning and transformation steps to ensure analysis-ready datasets. • Built a Power BI dashboard for interactive exploration of climate risk and economic impact.

2024 - 2024

Telecom Churn & Food Delivery BI

Other

Engineered analytics pipelines that prepare datasets for predictive churn modeling and operational pattern discovery from large transactional logs. Cleaned, validated, and analyzed ~10,000+ delivery orders to extract driver patterns and peak/delay behaviors for actionable operational recommendations. Applied supervised modeling concepts to identify churn drivers and improve the interpretability of results for stakeholders. • Built a churn model reaching ~80% accuracy and identified key drivers such as tenure and contract type. • Analyzed 10,000+ delivery orders to surface peak-hour and delay patterns. • Performed dataset preparation and QA suitable for ML and BI use cases. • Converted findings into operational recommendations for business action.

2024 - 2024

Walmart Sales Forecasting (Machine Learning)

Other

Built and applied ML modeling workflows to transform raw data into supervised learning inputs and decision outputs for business forecasting and operational insights. Developed feature sets and trained predictive models (e.g., RandomForest and XGBoost) using structured tabular datasets and evaluation metrics to guide recommendations. Used automated ETL processing to prepare and validate analysis-ready datasets from external sources for downstream model training and reporting. • Engineered 15+ predictive features including holiday and seasonality indicators for sales forecasting. • Trained and compared RandomForest and XGBoost models across 45 Walmart stores. • Performed error measurement and model evaluation (e.g., MAE) to quantify prediction quality. • Produced executive-ready outputs via interactive Power BI dashboards and cross-filtered reporting.

2024 - 2024

Education

Red Team Leaders

Certified Cybersecurity Educator Professional, Cybersecurity Education

Certified Cybersecurity Educator Professional

2025 - 2025

Sigma Academy

Data Analytics Certification, Data Analytics

Data Analytics Certification

2024 - 2024

Work History

Family Catering Business

Data & Inventory Analyst

Nairobi

2024 - Present