Analytical foundation with business and systems perspective
I am Balong Supnet, a Business Technology Management graduate with a strong interest in roles
that connect business needs with data-driven and systems-focused solutions. My academic and project
experience includes data analysis, machine learning exposure, dashboard development, and
translating structured information into practical insights. I am especially interested in
opportunities where I can support business systems, improve reporting, and contribute to
operational decision-making. I bring a thoughtful, process-oriented mindset and an eagerness
to continue growing in analytics, IT, and business analysis environments.
Projects
Selected work focused on analysis, reporting, and decision support
These projects show how I approach business problems through structured analysis,
practical tools, and decision-ready outputs. Each one connects technical work to a
clear operational or stakeholder outcome.
2Core portfolio projects
Data + SystemsCombined technical focus
Business ImpactVisible on every card
Featured Project
YMCA Evaluation Dashboard
Developed a KPI dashboard experience to help stakeholders review program data, monitor
outcomes, and make better-informed operational decisions.
Improved access to KPI reporting and surfaced clearer program insights for stakeholder review and evaluation.
Process Visual PlaceholderDashboard Journey Preview
Add a screenshot of the dashboard layout, KPI cards, or reporting flow for visitors to scan quickly.
Data IntakeKPI DashboardStakeholder Review
The capstone centered on organizing evaluation data into a usable structure, designing a
clean dashboard interface, and presenting KPIs in a way that supported non-technical
stakeholders. The result was a practical reporting tool that connected data collection,
backend storage, and front-end visibility into one streamlined workflow.
Project
Credit Risk Classification Model
Built a supervised learning workflow to classify credit risk and support better lending
decisions through interpretable model evaluation.
Pythonpandasscikit-learn
Key Tools
Python, pandas, scikit-learn
Business Impact
Translated model performance into practical risk insights that support better lending decisions and evaluation quality.
Project Visuals
Data PrepModel TestingRisk Review
This project focused on preparing and analyzing credit data, selecting classification
techniques, and evaluating model performance using common metrics such as accuracy,
precision, recall, and confusion matrices. Beyond the technical model output, the work
emphasized how data patterns can inform business decisions around risk segmentation and
responsible lending.
Skills
Core capabilities across analytics, systems, and business communication
Data & Analytics
Python
SQL
Excel
Machine Learning Fundamentals
Systems & Tools
React
Node.js
SQLite
CRM / POS systems
Reporting & Process Support
KPI reporting
Process analysis
Stakeholder communication
Structured problem-solving
Experience
Operational environments that strengthened systems awareness and decision support skills
UNIQLO
Sales Associate
Worked in a fast-paced retail environment with exposure to POS workflows, RFID-supported
inventory processes, and real-time operational coordination. The role strengthened my
understanding of how systems, data accuracy, and process consistency affect customer
experience, stock visibility, and daily store execution.
Nespresso
Coffee Specialist
Supported customer interactions using CRM and sales systems while contributing to
performance tracking, product recommendation, and service consistency. This experience
reinforced transferable strengths in interpreting customer needs, working within structured
systems, and using operational information to improve service and decision-making.
