Data Analyst

Pham Duy

City, State

Ho Chi Minh • ********@*****.*** • Linkedin • Kaggle • Github

Education

FOREIGN TRADE UNIVERSITY – HCM CAMPUS

Bachelor, Logistics & Supply Chain Management. GPA [3.07] Graduation Date: 2024

Certificates:

CTL.SC1x: Supply Chain Fundamentals by MIT edX

Learning Data Analytics by Linkedin Learning

LOGISTICS

STUDYING

CLUB

Experience

FTU2, HCM

Content Team Leader for SCMission competition Oct 2021 – Oct 2022

• Topic-choosing: Research global and local markets (reading reports, journals; doing empirical interviews; ...) to indicate a suitable approach that is applied by LSCM practitioners during the COVID crisis.

• Building format for the competition.

• Team management of almost 20 members.

• Reaching out to companies and organizations in the LSCM line of work for Content Sponsorships.

• Writing study - “Supply chain Agility - A compiled note”: The purpose of this study is to introduce readers to a rather academic concept. [LINK]

RnD member Oct 2020 – Oct 2021

• Writing posts about some major knowledge of LSCM for LSC fanpage and LSC Website.

• Compiling and proof-reading a report about the landscape of nowadays Retail - Modern Trade and Traditional Trade. [LINK]

• Holding internal events for interpersonal development PERSONAL PROJECTS

Tiki data (data taken from online crawling, refer to Github profile)

• Build crawl bot to take goods’ information on Tiki

• Build predicting model to predict the amount of sales quantity of each SKU ID Key Learning: Preprocessing with highly sparse data (mostly binary features); New model learned – Linear Support Vector Regression

Inventory Management 2023 (data taken from online source, refer to Github profile)

• Data description on Vendors and SKUs’ data using both Pandas and Polars.

• Feature Engineering by utilizing ABC-XYZ and RFM analysis on SKUs data and Vendors data.

• Building time series forecasting models with Holt, Holt-Winter models from Statsmodel module. Key Learning: pay attention to time-series grouping (daily, weekly,…) when building model since sparse data can have a bad effect on ML model

Association for Supply Chain Management 2022 Case

• Working with Pharmaceutical data.

• Data Description on Excel.

• ABC-XYZ analysis on SKUs’ data.

• Comparing current SKUs’ performance with data provided from forecasting models, from there drawing suitable inventory policy.

Key Learning: ABC-XYZ analysis, quantile reading.

Pham Duy

Other Experience regarding applicable tools (refer to Github profile)

• Big Data handling using Polars

• Build Cohort board for Ecommerce data: see how new customers act

• Build interactive dashboard by using Dash/Plotly COMPETITIONS

Top 3 RMIT Business Analyst Champion 2022

Issued by RMIT Vietnam Analytics Club · 2022

• First time using Python to compete (Pandas, Numpy, Matplotlib, XGBRegressor)

• RFM analysis on Ecommerce data.

• Building forecasting model (Basic regression, time-series model like Simple Exponential Smoothing in Excel)

• Building supervised Machine Learning model to predict customers’ transactions. Key Learning: Basic ML knowledge, RFM classification Top 15 LogiChain 2021

Issued by CLB Logistics & Chuỗi cung ứng LSC - NEU · Sep 2021

• First-hand experience with LSCM data (inventory).

• Conduct description analysis.

• Draft aggregate planning.

Key Learning: Description analysis, basic forecasting with regression model, tabular drafting of inventory schedule Top 15 Vietnam Supply Chain Analyst Challenge 2021 Issued by ERX · Nov 2021

• First-hand experience with SQL.

• First-hand experience with Linear Programming using Solver. Key Learning: SQL queries, basic Convex Optimization Skills & Interests

Technical: Excel, Python, SQL

Language: English, Japanese

Major: Logistics & Supply Chain Management

Interest: Application of math and coding to various fields’ data.

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