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Ha Hoang

Data Scientist / Data Analyst

Welcome!

I'm Ha, a data professional with 3+ years of expertise in data analysis and machine learning.

I hold a MS degree in Business Analytics, specializing in Data Science & Marketing Science from Duke University.

About me

  • Experienced analyst with expertise in marketing analytics, supply chain analytics, pricing analysis, and project management

  • Solid foundation in statistical modeling methods, data visualization, machine learning (ML) algorithms, and deep learning (DL) frameworks

  • Proven track record of delivering actionable insights and recommendations to senior leadership, and successful communication of technical insights to non-technical stakeholders

  • Adept at collaborating with cross-functional teams to understand business requirements and translating them into efficient and scalable ML applications​

Skills

Technical Skills

Data Analysis

Skills: Data Cleaning & Exploration, Data Manipulation, Statistic Tests (z-test, t-test, chi-square, Bayes' Theorem), ANOVA, Time Series Analysis (ARIMA), A/B Testing, Database Management, APIs & Webscraping

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Tools: Python (Pandas, NumPy, SciPy,  BeautifulSoup), RStudio (Tidyverse), SQL (MySQL, PostgreSQL, NoSQL), Excel (Crystal Ball, VLookup), SPSS, SAS

Data Visualization

Skills: Dashboarding, Infographic

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Tools: Tableau, Google Data Studio, MS PowerBI, Python (MatplotLib, Seaborn), RStudio (ggplot2)

Machine Learning

Skills: Regression (Linear, Multiple-linear, Polynomial, SVR, Random Forest, Regularization), Classification (Logistic, K-NN, SVM, Random Forest, Naive Bayes), Clustering (K-Means, Hierarchical, DBSCAN), Deep Learning (RNN, CNN, Transfer Learning), Monte Carlo Simulation, Gradient Boosting (XGBoost, CatBoost, AdaBoost), NLP, LLMs 

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Tools: Python (Scikit-learn, NLTK, TensorFlow, Keras, PySpark, PyTorch, Transformers, LangChain)

Experience

Work Experience

July 2023 - Present

January - June 2023

August 2021 - July 2022

May - August 2019

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SAP | Product Management Intern

  • Reduced 50% of influence requests backlog by developing dashboards to monitor important metrics and setting up bi-weekly alignment meetings with product team

  • Extracted customer data using SQL to prepare data analysis in Python, generating insights to develop new use cases and drive roadmap for new features of SAP Ariba Procurement products

  • Developed  sales enablement materials, including SharePoint wiki, demo decks, for SAP Ariba Supplier Lifecycle & Performance products

  • Refined work requests and documentations of new initiatives to enhance SAP procurement applications, such as “Total Spend Management Dashboard” initiative aimed to deliver full view of spending to procurement executives

SAP | Product Marketing Intern 

  • Conducted competitive analysis to benchmark and highlight competitive advantages of the SAP BTP platform for the localization campaign

  • Assisted in organizing and executing webinars and digital marketing campaigns, including blog posts, social media content and digital advertisements

  • Developed and maintained sales enablement tools, including pitch decks and FAQs, to assist the sales team in effectively communicating product value to prospective clients

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BCG |  Case Team Analyst​

  • Developed and executed comprehensive GTM strategy, including detailed market research, competitive analysis, and marketing tactics, for a property technology platform, driving 15% increase in daily active users within four months 

  • Led cross-functional marketing workshops using Figma to align positioning and messaging, achieving a 15% increase in customer acquisition through enhanced brand consistency across marketing assets

  • Spearheaded a multi-channel marketing campaign for a seaside city in Vietnam, securing approximately $1M in local infrastructure and hospitality investments, and boosting tourism revenue for local businesses by 30%

  • Analyzed 30M+ tourist records using MySQL to model 10-year local airport demand using Excel; conducted 5+ presentations to senior team & client leadership to recommend a $3M road expansion and airport upgrade investment, gained approval for implementation

PwC | IT Summer Consultant 

  • Decreased monthly churn rate by 5% and increased individual customer lifetime value by $10K+ through integration of random forest models predicting customer churn and identifying upsell opportunities for a major Vietnamese retail bank

  • Reduced 50% time gathering requirements by designing a log database in SQL Server to automate data collection

  • Minimized annual data management costs by 20% and increased bank-wide productivity by 50% by wrangling 20M+ rows of customer data from joined databases using SQL to eliminate redundancy and inconsistency and automate data processing tasks

  • Improved YOY margins by 5% by redesigning price optimization models in Python using 20+ competitors’ pricing data and 10K+ customer data, proposing an optimized pricing strategy for the new car model

Education

Education

2022 - 2023

Master of Science Degree

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2018 - 2021

Bachelor of Science Degree
Dickinson College

MS in Business Analytics, Concentrations: Data Science & Marketing Science

Merit Scholarship Recipient

Project Manager at Duke Interdisciplinary Social Innovators Organization

Third-prize Winner at Fuqua Marketing Challenge Competition 2022

Relevant Coursework: Data Science for Business, Data Visualization, Decision Analytics & Modeling, Data Infrastructure

BS in Econometrics & Quantitative Economics

GPA: 3.95/4.0, summa cum laude graduate, 100% scholarship

McKinsey Consulting Fellowship 2020

Relevant Coursework: Linear Algebra, Advanced Probability & Statistics, Econometrics, Data Modeling

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