I have five-years of experience in extracting actionable insights from complex datasets through data visualization, statistical analysis, and machine learning. Proficient in SQL and Python, I excel in database management, transforming raw data into strategic business insights. My passion is leveraging data for decision-making, collaborating with teams, and driving continuous improvement. I have a proven track record of delivering valuable insights that contribute to business growth and efficiency. 

Programming Languages: SQL, Python

Skills: 

• Proficiency in programming languages (e.g., SQL, Python) 

• Experience with exploratory data analysis (EDA) 

• Expertise in data visualization tools (e.g., Power BI, Excel) 

• Knowledge of engineering analytic process 

• Application of machine learning models for predictive analysis 

• Effective communication of complex findings to non-technical stakeholders. 

Tools: SQL Server, BigQuery, Jupyter Notebook, Power BI, Microsoft Excel, Git, Analysis Service.

Product Recommendation – Ecommerce Platform – VietNam 

Project Owner, August 2022 – Present

Project description 

• Implement similar product recommendation in customer service chat function  

• Improve existing manual product recommendation listing into smart and automated listing based on user’s preference 

• Increase order conversion rate from chat section interaction 

Responsibilities 

• Work directly with dev, platform and operational teams to start the idea of increasing potential chat section conversion capability 

• Conduct analysis on buyers purchasing behavior after interacting with customer service about order matters and with sellers about product attributes to quantify potential conversion rate  

• Replicate platform recommendation using product attribute vector similarity for chat recommendations 

• Build up timeline/ key milestones planning for project work streams: data procurement, back-end support, feature promotion, metrics visualization 

• Determine function flow and steps 

• Establish and monitor performance data tracking 

Technologies 

• Data warehouse: BigQuerry  ‍

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Dashboard Centralization – Data and BI Platform - VietNam 

Regional Data Analyst, April 2022 – June 2022

Project description 

• Revitalize local dashboards across ventures and construct a regional version for universal usage. 

• Review performance measurement metrics and set up standardized report templates 

Responsibilities 

• Work across operational teams across ventures to understand the pain-points with current reporting flow, how to streamline repetitive tasks and the need to have a universal dashboard 

• Work with Alibaba dev team to verify data resources and readiness 

• Build automated queries to update and maintain necessary relational data tables, verify and adjust out-dated logic from legacy scripts 

• Design new dashboards tailored to various operational functions and ensure maintenance. 

• Conduct periodic and ad-hoc analysis and propose action plan in decision making process 

Technologies 

• Data warehouse: BigQuerry 

• Visualization: Power BI ‍

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Buy Now Pay Pater – Banking – Viet Nam 

Data Analyst, April 2020 – October 2020

Project description 

• End-to-end process of establishing buy now pay later uncommitted limit loan product on consumer durable products on e-commerce platforms 

Responsibilities

• Work directly with Risk, Policy and Sale department on  

• Based on similarity of regular consumer durable loan models, conduct an appropriate model in order to provide loan amount limit to different customer backgrounds including demographic info, cic, payment history etc .. 

• Set up standard packages for brand new customers and limit adjustments based on customer pay behavior,  

• Weekly, monthly performance tracking in terms of risk measurement and model performance indicators  

Technologies 

• Data warehouse: Oracle Server 

• Programming language: Python 

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Scorecard Segmentation - Banking – Vietnam 

Data Analyst, June 2019 – August 2019

Project description 

• End-to-end process of establishing new customer automated review process using machine learning model 

• Provide customer score segmentation cut-off by apply Fico score standard based on potential risk level  

Responsibilities 

• Work directly with Risk and Sale department to understand requirements and needs from business side to a new scorecard model 

• Perform training data selection and feature engineering to gather informative variables 

• Perform different model training techniques such as logistic regression, random forest, xgboost and select the most optimal one out of them 

• Transform model prediction result into clear and comprehensive explanation to management board 

• Work with IT department to deploy new model into practice 

• Weekly, monthly performance tracking in terms of risk measurement and model performance indicators  

Technologies 

• Data warehouse: Oracle Server 

• Programming language: Python 

SQL (Advanced)

Google Data Analytics

Spark and Python for big data