Le Nhat Hoan Vu Data Analyst

About Me Projects

My Profile

It's simply Me

Hello, I'm Hoan Vu, studying Data Science in Business at Ho Chi Minh University of Banking. I have a passion for analyzing data and making predictions to uncover valuable insights. Using data to solve problems and drive informed business decisions excites me. I thrive in dynamic environments where I can apply my skills in data visualization, statistical analysis, and machine learning to deliver actionable results. My goal is to leverage data to enhance operational efficiency and contribute to strategic decision-making.

Languages

Visualization

Tools

Featured Projects

RFM Analysis

RFM Analysis

As the new Data Analyst for Meki Group-a global coffee chain headquartered in the USA, your mission is to leverage your analytical skills to address key business questions and provide actionable recommendations for timely and accurate decision-making. To segment customers based on their purchase history, I applied the RFM (Recency, Frequency, Monetary) analysis-a behavioral-based method that categorizes customers into segments based on how recently they made a purchase, how often they purchase, and how much they spend.

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Danny's Diner

Case Study 1: Danny's Diner

In early 2021, Danny opened Danny’s Diner, a cozy restaurant specializing in his favorite dishes: sushi, curry, and ramen. While the diner has gathered some basic data from its first months of operation, it needs help to use this information effectively. Danny seeks insights into customer visiting patterns, spending habits, and favorite menu items to provide a more personalized and enjoyable experience for his patrons.

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Pizza Runner

Case Study 2: Pizza runner

Danny was inspired by an Instagram post about "80s Retro Styling and Pizza Is The Future!" Enthusiastic about the idea, he decided to combine it with an innovative delivery model, aiming to Uberize the pizza business. Danny started by recruiting "runners" to deliver fresh pizzas from Pizza Runner Headquarters and developed a mobile app to accept customer orders.

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Foodie Fi

Case Study 3: Foodie Fi

Danny launched Foodie-Fi in 2020, a streaming service exclusively for food-related content, akin to Netflix but focused solely on cooking shows. Using a data-driven strategy, Danny offered monthly and annual subscriptions for unlimited access to exclusive food videos globally. This case study examines the strategic use of subscription data to inform business decisions, drive investments, and innovate new features for Foodie-Fi.

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Application System

Application System

The research focuses on identifying users across Facebook and Instagram by developing algorithms to detect account similarities and user-generated content. It also builds recommendation systems for jobs and books, while assessing and improving model accuracy for practical applications like personalized recommendations and detecting fake accounts.

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