PK Possakorn Kittipipatthanapong
Data Scientist and Analyst
Technical Skills: Python, SQL, R programming, MATLAB, PowerBI, Tableau, Looker, Qliksense, Snowflake, BigQuery
Interest: Decision Making, Machine learning, Visualization, Computer Vision, and LLMs.
Projects
Employee Performance Analytics Dashboard
This project, submitted for the Onyx Data Challenge - October 2024, analyzes employee performance metrics using Looker Studio. The interactive dashboard provides insights into performance, demographics, and work-related factors.
Dashboard Features:
- Overview Page: High-level summary of employee data to identify general patterns.
- Analytics Page: Detailed analysis of performance against factors like age, education, working hours, overtime, and assigned projects.
- Details Page: Drill-down view with filters for department, job title, and other dimensions.
Key Insights:
- Performance scores are consistently distributed across demographics and work factors.
- Salary shows a direct positive correlation with performance.
- 50% of employees enjoy remote work flexibility, with a stable attrition rate (~10%).
| Highlights: KPI Summary | Demographic Breakdown | Performance Analytics | Salary & Performance Trends |
ECommerce Churn Prediction
This project explores churn prediction in online shopping platforms using data from a Brazilian eCommerce store. By applying the LightGBM algorithm, key factors such as purchase duration, spending behavior, and review scores were identified as contributors to customer churn.
S&P500 Stock Price Prediction
This project predicts daily S&P 500 closing prices using Recurrent Neural Networks (RNNs) such as LSTM, GRU, and BiGRU. The Bidirectional GRU model performed best in capturing short-term market dynamics.
Website Design
Designed websites for small-to-medium brunch cafes in Adelaide, focusing on user-friendly interfaces and features like online booking, menu and reservations. Projects blended functionality with appealing visuals for enhanced customer engagement.
| Mali Cafe | Six&Five Cafe |
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Education
M.S., Data Science| University of Adelaide (September 2024)
GPA: 6.9 / 7
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Project: Oyster Mushroom Growth Stage Classification
This project leverages Vision-Language Models (VLMs) and LLMs to classify growth stages of oyster mushrooms using advanced prompting methodologies. In collaboration with local farming initiatives and government-funded programs, the project aims to enhance operational efficiency in mushroom farming through cutting-edge AI techniques.
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Key Highlights:
- Focus: Growth stage classification using Vision-Language Models.
- Methodology: Advanced prompting techniques via LLMs.
- Impact: Supports local farming initiatives and optimizes processes in mushroom cultivation. This project demonstrates the potential of AI to revolutionize agricultural practices while contributing to sustainable farming solutions.
B.S., Chemical Engineering | Sirindhorn International Institute of Technology (May 2018)
GPA: 3.73 / 4
- Project: Antimicrobial properties of copper nanoparticle with silica support on skim coating cement
Work Experience
Research Assistant @ University of Adelaide (August 2024 - Present)
- Research feasibility approaches comparing computer vision techniques with traditional methods to detect respirable crystalline silica dust, focusing on technical performance, cost-effectiveness, and time efficiency.
- Implemented end-to-end simulations of computer vision models for silica dust measurement, covering image preprocessing, model deployment, performance evaluation, and actionable results interpretation.
Business Intelligence Specialist @ Hays Migration (July 2023 - December 2023)
- Led the development of a case management app, integrating multiple datasets for migration and education, ensuring compliance with policies and improving data accessibility.
- Developed business strategy through performance monitoring to deliver guidelines and identify potential operational gaps, ensuring compliance with policies and regulatory requirements. By engaging with stakeholders, analysis implemented via Power Automation and Microsoft PowerBI offers reliable and valuable information for business decision-making.
- Built a business intelligence dashboard focused on migration KPIs, reducing reporting time by 20% and enhancing operational efficiency with Power BI and automation tools.
Data Analyst @ Roots (May 2021 - August 2022)
- Developed RFM model to analyze CRM data across diverse teams, improving win-loss ratios by 10%. This provided actionable insights and business reports for strategic decision-making while adhering to data compliance policies.
- Contributed to the data center design for the Department of City Planning in Bangkok, focusing on data architecture, integration, and infrastructure. Conducted surveys using Python and Tableau to improve operations and user experience.
- Mentoring junior analysts and interns by encouraging a data-driven culture to achieve OKRs and integrate insights into day-to- day operations.
Business Intelligence Analyst @ Shopee (September 2020 - May 2021)
- Drove strategic business decisions through innovative data solutions across seller management program to drive client engagement, integrating SQL and Python for insights, and creating reports via PowerBI, Tableau, and spreadsheets.
- Developed cross-functional KPI reports and dashboards, monitoring seller’s life cycle from the acquisition process through to key account management. Implementation includes identifying related data sources on cloud data storages and warehouses, developing analytical dashboards, and performing system testing and documentation.
- Optimized campaign targeting , seller satisfaction and forecasting campaign profits, boosting engagement by 30% through a new data pipeline system developed with key stakeholders.
Project Manager and Data Analyst @ Coraline (April 2020 - September 2021)
- Integrated Agile and Scrum methodologies to organize and prioritize software projects, enhancing team efficiency, ensuring alignment with project objectives under business requirements, collaborative process to maintain great customer service.
- Led in-depth customer research, collaborating with technical teams to identify business needs and project scope with attention to detail, resulting in efficiency of project planning and lean in resource allocation.