Solutions Engineer  ·  Forward Deployed Engineer  ·  AI Consultant

Hi, my name is

Ignatius Jonathan Sugijono

Turning data and design into real-world impact — from predictive models and AI agents to high-end websites built for business growth.

Machine Learning
Data Science
Artificial Intelligence
Deep Learning
Python
Web Design
Business AI
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Projects

NBA-Pickem-Prediction

NBA Pick'em Prediction

This project uses machine learning and statistical analysis to predict player stats (Points, Assists, Rebounds)

Python Machine Learning Web Scrape
Timeseries-Forecasting-GenAI

Supply Chain Forecasting Generative AI

A powerful time series forecasting application for supply chain management, leveraging Prophet and Generative AI for insights.

Python Streamlit Prophet
LoqlyAI

LoqlyAI

AI-powered chatbot for customer support and sales automation for businesses.

Python LLM AI Agent
NLP-Support-Ticket

NLP Support Ticket Auto-Routing

Production-ready NLP system that automatically routes customer support tickets with 67.2% accuracy and 1.28ms latency.

Python PyTorch NLP Flask

Client Website — Coming Soon

A high-end, conversion-focused business website designed to build brand authority and drive leads.

Web Design HTML/CSS UI/UX

View Full Website Portfolio

Browse the complete collection of business websites designed for clients across industries.

Portfolio Web Design Business

Skills

Ignatius Jonathan Sugijono

About Me

Hi, my name is Jonathan, and I'm currently pursuing a master's degree in data science at Georgia State University. With a strong foundation in analytical thinking, problem-solving, and a keen eye for detail.

When I'm not coding, you can find me playing sports or bouldering, which is a new hobby for me. I believe in continuous learning and pushing the boundaries of what's possible with Artificial Intelligence technology.

Resume

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Experience

Data Analytics Developer & AI Engineer

Crowe Sep 2025 - Present
  • Building an enterprise-grade AI data chatbot solution that allows clients to query and interact with databases in natural language, reducing reporting time and improving decision-making efficiency.
  • Optimizing data pipelines and governance frameworks to guarantee reliable, high-quality analytics outputs for enterprise use.

Data Consultant Intern

Crowe Jun 2025 - Aug 2025
  • Engineered an AI Reasoning agent using LangChain to solve contextual issues and help generate SQL queries and created specific tools to facilitate client implementation.
  • Applying data optimization and cleaning techniques to ensure the reliability of the AI agent's data analysis.

Founder

Loqly.ai Mar 2025 - Present
  • Developed and launched Loqly.ai, a GenAI-powered chatbot platform that automates customer support, appointment booking, and sales workflows for small to mid-sized businesses, tailored by industry and communication tone.
  • Built a full-stack architecture that integrates OpenAI Assistant and automation to enable real-time GenAI interactions, calendar bookings, and intelligent multi-step workflows.
  • Led product development, branding, and social content strategy to position Loqly.ai as a friendly yet powerful GenAI solution for business automation and customer engagement.

Data Scientist & LLM Researcher – Graduate Research Assistant

Georgia State University Jan 2025 - Apr 2025
  • Optimized LLM prompts in Python to predict Finance Beta, enhancing forecast precision by tailoring inputs to financial risk factors and historical trends while ensuring alignment with historical data.
  • Strengthened model performance through iterative prompt refinement, leveraging domain knowledge to boost Beta forecasting reliability for portfolio analysis.

Data Analyst – Graduate Research Assistant

Truist Financial Corporation Aug 2024 - Jan 2025
  • Established risk dashboards for decision-makers at Truist Financial Corporation, designing and implementing ETL processes to automate data integration from 5+ sources, significantly boosting data processing efficiency.
  • Orchestrated weekly stakeholder communications to provide timely project updates, proactively gathering and integrating team feedback into prototypes while ensuring 100% alignment with business objectives and user needs throughout development.

Skills

Technical Skills: Python, R, SQL, Pandas, NumPy, SciPy, Matplotlib, Seaborn, MySQL, MongoDB, Tableau, Azure DevOps, Jupyter Notebook, Power BI, GitHub, sci-kit learn, LangChain, LangGraph
Professional and Leadership Skills: Critical Thinking, Creative Problem-Solving, Presenting Complex Data, Data Accuracy, Strategic Thinking, Quality Assurance, Generative AI, Large Language Models

Education

M.S. in Data Science and Analytics

Georgia State University Expected Graduation: Dec 2025
  • GPA: 4.04
  • Relevant coursework: Artificial Intelligence, Predictive Modeling, Machine Learning, Deep Learning, Statistical Analysis, Data Engineering
  • Teaching Assistant for Programming class in Python

B.F.A in Visual Effects

Savannah College of Art and Design 2018 - 2021
  • GPA: 3.8/4.0
  • Minor in Technical Direction

Projects

Supply Chain Forecasting Generative AI

2025
  • Developed a time series forecasting system using Facebook Prophet to model demand patterns and supply variability
  • Integrated Generative AI capabilities to generate actionable insights and supply chain recommendations for business leaders
  • Designed and deployed an interactive Streamlit dashboard, enabling non-technical stakeholders to visualize forecasts and scenarios

LoqlyAI

2025
  • Created an AI-powered customer support chatbot tailored for small and medium-sized businesses, improving response speed and customer satisfaction.
  • Implemented sales automation workflows that streamlined lead qualification and appointment booking.
  • Built and customized LLM-based AI agents for personalized, industry-specific conversations across multiple customer touchpoints.

NBA Pick'em Prediction

2024
  • Engineered machine learning models to forecast player performance across key metrics (Points, Assists, Rebounds)
  • Automated data collection by building web scraping pipelines to gather and clean historical NBA statistics
  • Applied advanced statistical techniques to validate models and enhanced prediction accuracy for real-world use cases

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