# Pham Thi My Ni
**Data Scientist**

📍 Vietnam
📞 ([phone]
📧 [e-mail]
🔗 LinkedIn: https://www.linkedin.com/in/myni2000/

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## Professional Summary
Data Scientist with 3+ years of experience applying statistical analysis and machine learning to real-world business problems. Strong background in statistical knowledge and programming, with deep expertise in finance, and a proven ability to transform complex data into actionable insights that support data-driven decision-making.

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## Technical Skills

### Data Science & Analytics
- **Data Analysis:** Pandas, NumPy, Exploratory Data Analysis (EDA)
- **Data Visualization:** Matplotlib, SHAP, Seaborn, Plotly, Power BI, Streamlit
- **Machine Learning:** Scikit-learn, LightGBM, TensorFlow
- **Statistics:** Probability theory, statistical inference, hypothesis testing, parametric and non-parametric methods
- **Databases:** SQL-based relational databases, data extraction and transformation
- **Time Series Analysis & Forecasting:** trend/seasonality decomposition, ARIMA/SARIMA, rolling statistics, stationarity testing

### Programming & Engineering
- **Python:** Time series analysis and forecasting, data preprocessing, feature engineering, applied machine learning, quantitative and financial modeling
- **SQL:** Complex querying, joins, subqueries, performance-oriented data retrieval
- **Version Control:** Git (collaborative workflows)
- **Linux / Shell:** Command-line scripting for data processing and automation
- **Data Structures & Algorithms:** Arrays, hash maps, sets, linked lists, stacks, sorting and binary search

## Domain Knowledge
- Financial markets and instruments (equities, fixed income, derivatives)
- Financial Statement Analysis & Corporate Finance
- Portfolio and risk-related analysis

### Languages
- **Vietnamese:** Native
- **English:** Professional working proficiency

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## Professional Experience

### Tuan Loc Commodities
**Quantitative Researcher & Developer**

**July 2025 – Present**
*Co-Lead, Quant Investing Team*
- Led ad-hoc quantitative research projects, including the development of a harvest selling premium model to enhance seasonality-based hedging strategies, improving performance compared to the previous year.
- Worked closely with the CEO to restructure the Quant Investing team, identifying key pain points and redefining trading decision-making frameworks.
- Translated trading and investment challenges into clear, data-driven problem statements to support more effective and timely decision-making.

**October 2022 – June 2025**
*Quantitative Researcher*
- Conducted end-to-end research on key drivers of coffee futures pricing, developing analytical frameworks that directly supported trading and execution decisions.
- Designed and validated predictive models for Robusta Coffee (futures and differentials), achieving:
- ~70% accuracy for 15-minute forecasts post-market open (p-value < 0.01)
- ≥60% accuracy on weekly and monthly horizons (p-value < 0.01)
- Built a domain-specific news intelligence pipeline, including automated multi-source news collection, summarization, topic extraction, and sentiment analysis to identify market signals.
- Led the development of a scalable research infrastructure integrated with the company’s data warehouse:
- Real-time ingestion and aggregation of structured and unstructured data
- Automated daily reporting system delivering insights to the Trading team
- Ensured long-term system reliability through continuous monitoring, maintenance, and feature enhancement.

**January 2022 – September 2022**
*Data Analyst*
- Cleaned and preprocessed large-scale datasets including market, fundamental, and alternative data.
- Performed EDA on 2M+ records using Python and SQL to identify key price drivers.
- Maintained and enhanced automated reporting systems for the Data & Trading department.
- Collaborated closely with data engineers to ensure data integrity and pipeline reliability.
- Communicated insights through clear visualizations and concise analytical reports.

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## Projects

### GBSmart Company — Internship
*August 2021 – December 2021*
- Participated in a marketing funnel analytics project, translating business requirements into system design.
- Researched and applied AI techniques for marketing automation and sales funnel optimization.
- Built a social media chatbot automation framework integrated into a B2B sales funnel.
[View product](https://drive.google.com/file/d/1Rrl0ieKFxSfzFf9viIVnKINgFSiT497B/view?usp=sharing)

### Scientific Research Project — FIBA Virtual Assistant
*October 2020 – May 2021*
- Built a finance and banking terminology dataset with 2,000+ samples.
- Evaluated Vietnamese NLU algorithms to improve machine learning model performance.
- Developed AI models and an accompanying Android application.
[View product](https://drive.google.com/file/d/1X9GqcTkRNHZHOg5RyR21Njoz4xO-UBwo/view?usp=sharing)

### Student Project — SIMMED Chatbot (Zalo/Facebook Integration)
*June 2021*
- Developed a chatbot integrated with social platforms to support clinic booking and COVID-19 screening.
[View product](https://drive.google.com/file/d/10vXYR5f7tGXPXsIihRp1UhaXVYIFtxnE/view?usp=sharing)

### Student Project — MICERA E-commerce Website
*December 2020*
- Analyzed business requirements and developed UI for an e-commerce website.
[View website](https://myni2000.github.io/index.html)

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## Education & Certifications

### MITx — MicroMasters Program in Finance
*September 2023 – January 2024*
- Selected as **Cohort Speaker**, representing a global cohort of professionals.
[Program credential Letter](https://drive.google.com/file/d/1rd16rqraR54nM2_cbqlrYj1ooG5qPx0f/view?usp=sharing)
[Credential](https://credentials.edx.org/credentials/e5fea35791d14046b981829954b3b293/)

### University of Economics & Law, VNU-HCM
*August 2018 – April 2022*
- Honor Program, Very Good Classification
- GPA: **8.42 / 10**
[Degree](https://drive.google.com/file/d/1mb0GRzTEe5ObUlSmRxSfZ455uDgQnP-w/view?usp=sharing)
[Transcript](https://drive.google.com/file/d/1L27e3IC3JDkIlYj8H_DhWZOz7o88dnh0/view?usp=sharing)

### Other certifications:
* Passed the Level 1 of CFA Program
[Credential](https://credentials.cfainstitute.org/91257b01-532e-4d6d-8994-fa866f300cb8#acc.qHvyrlmQ)
[Program verification letter](https://drive.google.com/file/d/1VMGNETnhEgiF3kAqTFKlq66lZ1-aSn1Z/view?usp=sharing)
* Machine Learning with Python: From Linear Models to Deep Learning (Edx)
[Certificate](https://courses.edx.org/certificates/2def8f4771dc40fbb8b8ecf24cc3da76)

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## Publications & Awards

### Publications
- *Journal of Asian Finance, Economics and Business*
- **An Application of RASA Technology to Design an AI Virtual Assistant**
- *International Journal of Advanced Science and Convergence*
- **AI Chatbot for Patient Declaration and Outpatient Navigation**

### Awards
- **2nd Prize**, UEL Scientific Research Award (2020)
- **Student of Five Merits**, VNU-HCM (2021)

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## References
**Mr. Duong Hoang**
Senior Data Scientist, Tuan Loc Commodities
📞 ([phone]
📧 [e-mail]
🔗 LinkedIn: https://www.linkedin.com/in/duonghoangdeveloper/