Hi, I'm Aung!
I build data products that sit at the interaction of AI, automation, and analytics. My work ranges from machine learning, data analytics, and research to workflow automations, algorithmic trading, and internal AI assistants.
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About Me
I like building things that make someone else's job easier. Over the past few years, I've developed predictive models, created business intelligence dashboards, automated reporting workflows, and built AI-powered tools for enterprises across education, consulting, law, and social impact.
And I like working across the entire project's lifecycle - understanding the problem, cleaning and analyzing data, building systems, and delivering tools that people actually use. I recently graduated Magna Cum Laude with a degree in Statistics and Data Science, and I'm excited to continue building systems at the intersection of data, AI, and automation.
Selected Work & Systems.
From the senior capstone thesis in algorithmic trading to deep learning transformers and automated recommendation systems.
Autonomous Trading Agent
Undergraduate Senior Capstone Thesis. Dual-stream AI quantitative trading system combining 60-day rolling LSTM predictive models with FinBERT NLP transformer sentiment. Validated with an 8-year multi-regime backtesting engine across AAPL, MSFT, NVDA, and TSLA.
Candlestick ViT Classifier
Vision Transformer architecture fine-tuned to classify complex technical candlestick chart formations (Doji, Hammer, Engulfing) directly from market imagery.
Market Tweet Sentiment
CardiffNLP RoBERTa fine-tuned on financial social feeds, classifying bullish, bearish, and neutral sentiment to generate real-time quantitative trading signals.
Reels Recommendation Engine
Recommendation engine modeling user preference graphs, content analysis, and engagement feedback to deliver personalized Instagram Reels discovery.
Customer Clusters
High-dimensional RFM customer segmentation clustering transactions to uncover distinct consumer archetypes, retention risks, and lifetime value profiles.
Delhi Air Quality Forecast
Multi-node environmental predictive analytics evaluating metropolitan PM2.5 concentrations and seasonal pollution drivers across sensor networks.
Transaction Anomaly Engine
Production-ready anomaly detection identifying fraudulent transaction outliers and unexpected volatility spikes across multi-currency ledgers.
Selected Work & Systems.
From the senior capstone thesis in algorithmic trading to deep learning transformers and automated recommendation systems.
Autonomous Trading Agent
Undergraduate Senior Capstone Thesis. Dual-stream AI quantitative trading system combining 60-day rolling LSTM predictive models with FinBERT NLP transformer sentiment. Validated with an 8-year multi-regime backtesting engine across AAPL, MSFT, NVDA, and TSLA.
Candlestick ViT Classifier
Vision Transformer architecture fine-tuned to classify complex technical candlestick chart formations (Doji, Hammer, Engulfing) directly from market imagery.
Market Tweet Sentiment
CardiffNLP RoBERTa fine-tuned on financial social feeds, classifying bullish, bearish, and neutral sentiment to generate real-time quantitative trading signals.
Reels Recommendation Engine
Recommendation engine modeling user preference graphs, content analysis, and engagement feedback to deliver personalized Instagram Reels discovery.
Customer Clusters
High-dimensional RFM customer segmentation clustering transactions to uncover distinct consumer archetypes, retention risks, and lifetime value profiles.
Delhi Air Quality Forecast
Multi-node environmental predictive analytics evaluating metropolitan PM2.5 concentrations and seasonal pollution drivers across sensor networks.
Transaction Anomaly Engine
Production-ready anomaly detection identifying fraudulent transaction outliers and unexpected volatility spikes across multi-currency ledgers.
Education
Bachelor of Arts in Statistics and Data Science (SDS)
Bard College | Parami University (Dual Degree Program)
Honors: Magna Cum Laude, Rising Generation Summer Internship 2024 Recipient, Parami Undergraduate Scholar
Professional Experiences
Junior AI Specialist
The Water Agency
- ▸Automated cross-functional workflows using Python, n8n, and MS Power Automate, reducing manual processing time by 30% across core agency operations.
- ▸Architected and deployed an internal knowledge chatbot leveraging Microsoft Copilot, reducing organizational data retrieval times by 50-60% and securing internal data access.
- ▸Spearheaded technical rollouts and a monthly AI workshop series for non-technical employees, directly increasing internal AI tool adoption and cross-departmental productivity.
- ▸Built modular engineering pipelines for large-scale grant discovery, knowledge retrieval, and research synthesis, cutting time-to-insight by 50% and accelerating project proposal pipelines.
Data Analyst Intern
Synergy Solutions
- ▸Streamlined educational processes for nearly 200 students through a centralized digital classroom workflow.
- ▸Integrated Google Sheets and Google Drive APIs for real-time assignment management.
- ▸Implemented an automatic flagging system for overdue submissions.
- ▸Designed Google Apps Script automations to manage workflows seamlessly.
- ▸Created data flow diagrams to facilitate educators' adoption of the new system.
- ▸Developed an automated pipeline to transfer Zoom recordings to Google Drive.
- ▸Ensured all meeting data was automatically updated in a centralized Google Sheets dashboard.
- ▸Significantly reduced manual tasks, enhancing efficiency and data visibility.
Data Analyst Associate
The Water Agency
- ▸Took ownership of a disorganized and manual LMS and website data system by building a Python Selenium automation tool to extract raw data from the website admin panel
- ▸Designed a modular data pipeline in Python to clean, transform and generate standardized CSVs from inconsistent raw files, enabling seamless integration with Power BI
- ▸Built a multi-page Power BI dashboard featuring 20+ KPIs, slicers, models, and advanced visuals, enabling dynamic filtering across time, demographics, and course performance indicators
- ▸Delivered a fully automated reporting system where any team member can generate an updated dashboard by simply rerunning the Python script and refreshing the Power BI file, eliminating the repetitive manual work
- ▸Reduced reporting turnaround time by over 80% by streamlinging manual data collection, cleaning, and dashboard refresh processes into a scalable, script-based system
Data Scientist Intern
Cassidy Levy Kent LLP
- ▸Conducted in-depth research on various HTS Codes and Tax laws
- ▸Authored a comprehensive case study report on Section 301 tariffs focusing on semiconductors and EVs, providing detailed insights into the economic and legal impacts
- ▸Contributed code to the development of programs used by the firm's data scientists to analyze production and financial data relevant for trade remedy cases improving efficiency and accuracy
- ▸Automated data extraction from PDF Files using Python, converting and formatting extracted data into accessible formats streamlining data workflows reducing manual processing time and improving productivity
Program Assistant
Parami University GCC Program
- ▸Supported admissions processes by evaluating applications and managing communications ensuring a seamless onboarding experience
- ▸Assisted and helped facilitate online interviews and information-sharing sessions for over 200 students hosting 20-30 students in each session
- ▸Facilitated monthly online learning sessions and tracked student progress on Coursera, achieving a higher completion rate for enrolled participants
ASEAN Data Science Explorers Ambassador
ASEAN Foundation
- ▸Successfully collaborated with multiple universities, expanding the reach of the initiative
- ▸Designed and published promotional materials to encourage student registrations. ensuring maximum reach and engagement
- ▸Delivered impactful workshops to around 300 students (double the requirement of the program)
- ▸Facilitated interactive sessions with 50 - 100 students per session for in-person sessions, delivering data science concepts
- ▸Oversaw and gave feedback to student projects resulting in 7/10 teams selected for National Finals being taught by me
My Expertise
A blend of technical skills and analytical thinking to create data-driven business solutions.
Python
Proficient in Python for data analysis, machine learning, and automation.
Machine Learning
Building predictive models and AI-driven solutions.
Data Visualization
Creating insightful charts and dashboards (Matplotlib, Seaborn, Plotly).
SQL & Databases
Managing and querying relational and NoSQL databases.
Deep Learning
Developing neural networks for complex pattern recognition (TensorFlow, PyTorch).
Statistical Analysis
Applying statistical methods to interpret statistical data and draw conclusions.
Beyond Work
Outside of work, I enjoy bowling, board games, badminton, and exploring new places. I'm also a fan of story-driven video games-the kind that makes you lose track of time. I also have a habit of picking up random interests just to understand how they work.
I rarely leave a board game unfinished, and I'm pretty good at bowling!
Let's Connect.
Ready to engineer something bold?
Whether you are architecting a quantitative model, automating complex operational workflows, or looking for a Data Scientist to join your team, feel free to send a message.