Resume / At a glance

Htet Aung Khant.

Software development · Applied AI · Data analytics

Summary

Applied AI & Analytics diploma student building full-stack applications, data workflows, Power BI dashboards, and predictive models. Combines software development with statistical analysis and AI API integration.

Technical skills

Languages
Python, C#, JavaScript, TypeScript, SQL
Software & web
React, Node.js, Express, Flask, HTML, CSS, Git, Pytest
Analytics & BI
Power BI, Power Query, DAX, KNIME, Excel, SAS Viya, dimensional modeling, data cleaning, feature engineering
Databases & cloud
PostgreSQL, SQLite, MySQL, MongoDB, Oracle SQL, Snowflake, Oracle Cloud, AWS
AI & machine learning
NumPy, automatic differentiation, neural networks, AI model API integration and orchestration, speech-to-text and image-generation workflows, FFmpeg, Streamlit
Statistical methods
Descriptive statistics, hypothesis testing, correlation analysis, regression, model evaluation, scenario analysis

Selected projects

NumPyGrad

Python, NumPy, Pytest, Streamlit

Creator & sole engineer

  • Built a NumPy deep learning framework with reverse-mode autograd, vectorized convolutions, AdamW, and checkpoints.
  • Created Streamlit demos and verified gradients with Pytest and finite-difference checks.

Shades of SG

React, Node.js, PostgreSQL, AI APIs, FFmpeg, WaveSurfer.js

Media pipeline, video editor & AI assistant · Team project

  • Built an asynchronous pipeline for lyric transcription, AI scene planning, image generation, and FFmpeg assembly.
  • Created a browser timeline editor and AI assistant with reviewable scene edits, frame regeneration, and caption controls.

Hospital Operations

Power BI, Power Query, DAX

BI development, forecasting & scenario modeling · Individual academic project

  • Built a Power BI planning dashboard linking 12-month patient-inflow forecasts to staffing needs and wait-time risk through DAX what-if scenarios.
  • Unified three hospital datasets in a star schema, enabling consistent time filters and urgency-based analysis of waits and satisfaction.

Workout Energy Prediction

KNIME, SAS Viya, Regression

Data preparation, feature engineering & regression evaluation · Individual academic project

  • Audited 4,865 rows in KNIME, deduplicating before splitting and engineering heart-rate features for 973 workouts.
  • Diagnosed four SAS Viya regression models; gradient boosting yielded 35 kcal validation RMSE on 292 observations.

Additional projects

Retail Customer Analytics

Built a KNIME pipeline combining four regional sources with validation, identifier masking, customer features, and an Excel export for analysis.

ROLLOVER

Co-built a constraint-based surplus-retail platform with a three-person team during a 24-hour hackathon.

SGEN

Built Flask/React feed workflows with multilingual speech input, read-aloud, and safer link handling.

Student Wellbeing Study

Contributed Excel calculations and one-sample/paired test interpretation to a five-person study of 67 students.

Education

Nanyang Polytechnic2025–2028

Diploma in Applied AI & Analytics · Cumulative GPA: 3.63 / 4.00

ConceptX International School2022–2024

Pearson Edexcel International GCSE · Results: 3 Grade 9, 3 Grade 8, and 1 Grade 7

Certificates

  • Snowflake SnowPro Associate: Platform
  • ServiceNow Certified System Administrator
  • AWS Training & Certification: Fundamentals of Machine Learning and Artificial Intelligence
  • Anthropic AI Fluency: Framework & Foundations
  • IBM SkillsBuild: User Experience Design Fundamentals

Leadership & activities

Class Representative, Year 1 · Organized class bonding events and coordinated student cohort feedback across both Year 1 semesters.

NYP AI — Executive Committee (Head of Publicity & Core Organizer) · Co-led overall ideation, proposal planning, and day-of operations for flagship engagement sessions (Project Starbound: The AI Frontier) and industry masterclasses (Nokia Networks & AI); directed multi-channel publicity across Instagram, Telegram, Discord, and WhatsApp.

NYP Google Developer Group (GDG) — Subcommittee Lead & Presenter · Presented a technical Cloud Run masterclass hosted at NUS, coaching university students through multi-stage Docker builds, serverless container architecture, Artifact Registry, and Cloud Build deployment pipelines.

SDG Open Hack 2026 — Semi-finalist · Built and pitched ROLLOVER with a three-person NYP team in a 24-hour circular-retail hackathon.

Explore all eight projects and the work behind them.

Read the case studies