PETER NJENGA KIMANI

Full-Stack Web Developer | Aspiring Data Scientist

Kiambu, Kenya +254797933409 njengapekim@gmail.com

Professional Summary

Full-Stack Web Developer with a strong academic foundation in B.Sc. Statistics, bridging production-grade web applications with modern data workflows and AI architectures. Experienced in building high-performance web platforms using Next.js, React 19, TypeScript, and Django, backed by reliable database and cloud storage solutions. Focused on engineering scalable, data-informed software systems.

1. Backend Engineering

LanguagesPython (OOP, Data Structures), TypeScript
FrameworksDjango, Flask, Next.js API Routes
API ArchitectureRESTful API Design, Postman
IntegrationsM-PESA Daraja API, Resend, Nodemailer

2. Frontend & UI Engineering

FrameworksNext.js 16, React 19, TypeScript
Styling & UITailwind CSS, PostCSS, Lucide React, Tabler Icons
AnimationsFramer Motion, Lenis Smooth Scroll

3. Database Architecture

DatabasesPostgreSQL, MySQL, MongoDB
BaaS & ORMSupabase, Django ORM, SQL
DesignERD Modeling, Schema Optimization

4. Cloud & DevOps

Hosting & PaaSRender, Vercel, Truehost
Object StorageCloudflare R2, Supabase Storage (S3-Compatible)
DevOps & CI/CDDocker, GitHub Actions, Git
Asset OptimizationSharp Image Processing, Next Font Optimization

5. Data Science & Applied AI

Data LibrariesPandas, NumPy, Advanced SQL
AI ToolsPrompt Engineering, Workflow Automation

Education

B.Sc. in Statistics

JKUAT // 2023 — 2027

Focusing on applying probability theory, quantitative analysis, and statistical modeling to software architecture.

In-Progress Specializations

Data Science Lab
WorldQuant University IN PROGRESS
Advanced SQL
Kaggle IN PROGRESS
Generative AI Essentials
IBM SkillsBuild IN PROGRESS

Verified Certifications

  • Python Essentials 1 (Cisco) LINK
  • Python Essentials 2 (Cisco) LINK
  • Full Stack Web Development (LinkedIn) LINK
  • Django Framework (Cursa) LINK
  • HTML5 Foundations (Codecademy) LINK
  • Flask Web Apps (Codecademy) LINK
  • SQL for Data Science (Simplilearn) LINK
  • Pandas Data Analysis (Kaggle) LINK
  • Python Data Science (Cognitive Class) LINK
  • NumPy Analytics (Great Learning) LINK
  • Intro to Data Science (Cisco) LINK
  • Google Sheets Analytics (Google) LINK