import { motion } from 'framer-motion' import { Mail, Phone, ExternalLink, Briefcase, GraduationCap, Code, Database, BrainCircuit, LineChart } from 'lucide-react' const PROJECTS = [ { title: 'FairValue Player Estimator', tags: ['XGBoost', 'SHAP', 'React'], desc: 'Advanced sport analytics platform deploying Hedonic Pricing models and NLP transfer intelligence to compute PSR compliance and mitigate winner\'s curse.', link: '#', }, { title: 'WHO ESPEN Nigeria Portal', tags: ['Vercel Edge', 'Leaflet', 'Node.js'], desc: 'A premium analytics platform deployed for international public health monitoring. Engineered real-time supply chain latency algorithms bridging SQL logic with JavaScript, enveloped in a stunning glassmorphism geospatial UX.', link: 'https://who-espen-nigeria-ntd.vercel.app/', }, { title: 'LinkyGen Intelligence', tags: ['LangGraph', 'Agentic AI'], desc: 'Advanced AI application utilizing a multi-agentic LangGraph architecture to streamline high-quality dynamic content pipelines.', link: 'https://linkygen.streamlit.app/', }, { title: 'SESA AI Optimization', tags: ['Multi-Agent', 'Python'], desc: 'Stochastic optimization engine built on Agentic AI orchestration to minimize smart building electricity via BESS arbitrage.', link: 'https://sesa-energy.streamlit.app/', }, { title: 'Stratos Content Empire', tags: ['LangGraph', 'Streamlit'], desc: 'Strategic AI marketing tool powered by LangGraph multi-agent orchestration mapping pinpoint audience intent.', link: 'https://stratos-content.streamlit.app/', }, { title: 'XGen Studio', tags: ['CrewAI', 'LangChain'], desc: 'Viral writing assistant leveraging a multi-agent LLM workflow to scale brand growth via highly-humanized narratives.', link: 'https://xgenstudio.streamlit.app/', }, { title: 'Finstratz Analytics', tags: ['TensorFlow', 'Python'], desc: 'Python-based financial suite utilizing deep learning (TensorFlow) to forecast stock trends and price variations.', link: 'https://finstratz.streamlit.app/', }, { title: 'Stanbic IBTC Simulator', tags: ['Financial Modeling', 'Data Science'], desc: 'App generating robust performance forecasts across complex Money Market portfolios.', link: 'https://stanbic-ibtc-portfolio-simulation.streamlit.app/', }, ] export default function AboutDeveloper() { return (
{/* ── Cinematic Hero ────────────────────────────────────────────────── */}
Open to Mid/Senior Roles Globally

Lawrence Oladeji

AI-Native Data Scientist & Sports Pricing Strategist

I am an AI-Native Data Associate with 3+ years of experience transforming complex datasets into strategic insights for executive decision-making. My expertise encompasses sports analytics, hedonic pricing models, AI-driven transfer logic, and traditional Business Intelligence heavily augmented by deep expertise in Generative AI and LLM orchestration (LangGraph, CrewAI). I am profoundly passionate about architecting scalable, data-driven solutions at the intersection of quantitative sport economics and Agentic AI.

oladeji.lawrence@gmail.com GitHub: Lawrencium-103 +234 903 881 9790
{/* ── Expertise Grid ────────────────────────────────────────────────── */}

Core Competencies

Sports Pricing & BI

Transforming raw datasets into executive C-Suite narratives. Expert in translating complex valuations (Transfer Estimators) and multi-million-dollar portfolios into interactive command centers.

Power BI / DAX Tableau XGBoost / SHAP

Data Engineering

Architecting scalable pipelines and robust data models. Proven track record dropping query latency by 15% across global health databanks using optimized SQL architectures.

PostgreSQL BigQuery Airflow ETL

Agentic AI & LLMs

Designing autonomous workflows orchestrating complex data routing via LLMs. Pioneering the integration of multi-agentic reasoning frameworks into traditional data domains.

LangGraph CrewAI Python
{/* ── Professional Blueprint ────────────────────────────────────────── */}

Professional Blueprint & Background

Data Associate

May 2024 – Present
  • Designed and deployed executive-level Power BI dashboards for C-Suite stakeholders, optimizing multi-million-dollar portfolios.
  • Engineered complex SQL data models on BigQuery & PostgreSQL, cutting query latency by 15% across 50+ key indicators.
  • Centralized 56,000+ data points across 1,450+ indicators from world-class sources (World Bank, WHO) to ensure 100% regulatory reporting accuracy.
  • Constructed AI content frameworks utilizing multi-agent reasoning to automate reporting, saving significant overhead blocks.

Junior BI / Data Operations Analyst

2019 – April 2024
  • Synthesized business requirements into actionable data models for E-mobility.
  • Executed statistical modeling predicting demand, cutting lifecycles by 20%.
  • Identified high ROI cost-savings via exploratory spatial geospatial analysis.

Academic Background

MSc in Mechanical Engineering

University of Ibadan · 2023 - 2024

BSc in Mechanical Engineering (2:1 Honors)

Federal Univ. of Agriculture, Abeokuta · CGPA: 3.99/5.0
{/* ── Portfolio Grid ────────────────────────────────────────────────── */}

Agentic & Analytics Portfolio

A selection of high-impact production dashboards and multi-agent AI ecosystems built across multiple domains.

{PROJECTS.map((proj, i) => (

{proj.title}

{proj.link !== '#' && }

{proj.desc}

{proj.tags.map(tag => ( {tag} ))}
))}
) }