J. Kristopher Andre

Data Analytics & Visualization Specialist

I'm a data analyst specializing in transforming complex datasets into actionable insights through advanced visualization techniques. With a background in biological sciences from George Mason University, I merge analytical methodologies with modern data technologies to extract meaningful patterns from environmental and business data.

My approach combines rigorous data processing with intuitive visualization design, ensuring that complex information becomes accessible and decision-ready. Through my work in environmental analytics and independent research, I've developed expertise in pattern recognition, geospatial analysis, and interactive dashboard creation.

I specialize in developing end-to-end data solutions that bridge the gap between raw information and strategic insights, with a particular focus on environmental data science, spatial analysis, and automated reporting systems.

Technical Expertise

📊

Data Analysis & Visualization

  • Interactive Dashboard Development
  • Advanced Data Visualization
  • Pattern Recognition & Analysis
  • Statistical Modeling
  • Time Series Analysis
  • Exploratory Data Analysis
🌍

Geospatial Analytics

  • GIS Data Processing & Analysis
  • Interactive Mapping Solutions
  • Spatial Pattern Detection
  • Cluster Analysis & Hotspot Mapping
  • Dynamic Geospatial Visualization
  • Environmental Data Mapping
💻

Technical Stack

  • Python (Pandas, NumPy, Matplotlib)
  • JavaScript (D3.js, Chart.js)
  • SQL & Database Management
  • Excel Advanced Analytics
  • API Integration & Development
  • Firebase & Cloud Services
🔬

Research & Methodology

  • Data Collection Protocol Design
  • Research Methodology
  • ETL Pipeline Development
  • Data Cleaning & Preparation
  • Quantitative Analysis
  • Scientific Data Reporting
🧠

Machine Learning

  • Predictive Modeling
  • Classification Algorithms
  • Feature Engineering
  • Model Evaluation & Tuning
  • ML Pipeline Development
  • Supervised Learning Implementation

Data Analytics Projects

Fairfax County Biodiversity Analytics Platform

End-to-end data solution that transforms 65,000+ wildlife observations into actionable ecological insights through advanced visualization and pattern recognition algorithms.

Python D3.js Geospatial Analysis ETL Pipeline Pattern Detection

Avian Mortality Analytics System

Data-driven GIS platform analyzing 5,400+ bird fatality incidents with statistical clustering, temporal pattern recognition, and predictive impact modeling.

Spatial Statistics Firebase Real-time Analytics Chart.js Clustering Algorithms

Species Classification ML System

Deep learning model achieving 91.23% accuracy across 117 classes, trained on 292,500 images with custom feature extraction algorithms and attention mechanisms for fine-grained classification.

TensorFlow Computer Vision Model Optimization Feature Engineering

Transaction Risk Analysis Model

End-to-end ML implementation featuring complex pattern detection algorithms, multi-dimensional feature engineering, and real-time scoring system with 87% prediction accuracy.

Predictive Modeling Random Forest Feature Engineering API Development Pattern Detection

Financial Transaction Analytics

Business intelligence platform processing financial transaction data through multi-stage ETL pipeline, featuring 12 interactive visualization modules and automated pattern recognition algorithms.

Data Transformation Trend Analysis Pattern Recognition Statistical Reporting Interactive Dashboards

Experience

Present
August 2018

Data Visualization Developer

Independent Projects

2023 - Present

  • Developed OneStone Avian Fatality Tracker, a GIS-based platform managing 5,000+ data points
  • Created Fairfax County Urban Biodiversity Dashboard using Python and D3.js
  • Implemented real-time data processing and visualization systems
  • Designed automated data collection and validation pipelines
  • Built interactive mapping solutions using Leaflet.js and custom clustering algorithms

Digital Business Analytics

Self-Employed

January 2020 - Present

  • Developed custom Excel-based business management system reducing operational overhead by 85%
  • Created and maintained comprehensive database using advanced Excel functions and Power Query
  • Implemented data-driven decision making resulting in 30% year-over-year growth
  • Designed automated systems for tracking and analyzing business metrics

Independent Research Assistant

George Mason University

January 2021 - 2023

  • Conducted independent botanical research utilizing university herbarium facilities
  • Extracted and digitized data from >4000 North American herbarium specimens
  • Collaborated with peer researchers to analyze ecological patterns
  • Developed standardized protocols for specimen annotation and digitization
  • Research manuscript in progress, temporarily paused pending additional data analysis

Education

George Mason University

August 2018 - May 2022

  • Bachelor of Science - Biology, General
  • Focus on data analysis and ecological research methods
  • Developed strong foundation in statistical analysis and research methodology

Get in Touch

* Currently seeking remote opportunities in data visualization and environmental analytics