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Thi Yen Nga Nguyen

Data Analyst

About Thi Yen Nga

Financial Performance AnalysisFinancial Performance Analysis for the SaaS company from 2022 to 2024. Insights were captured to suggest better expense control and revenue growth strategies.

Financial Performance AnalysisFinancial Performance Analysis for the SaaS company from 2022 to 2024. Insights were captured to suggest better expense control and revenue growth strategies.

Customer Segmentation Based on RFM Analysis - Using SQL and Power BIImplement an RFM (Recency, Frequency, Monetary) analysis on customer transaction data of 100K transactions within 3 months to support the customer service team in identifying customer segments for personalized engagement.

Customer Segmentation Based on RFM Analysis - Using SQL and Power BIImplement an RFM (Recency, Frequency, Monetary) analysis on customer transaction data of 100K transactions within 3 months to support the customer service team in identifying customer segments for personalized engagement.

HR Analysis in Power BITo obtain critical insights related to workforce composition, salary distribution and employee retention situation, segmented across gender, ethnicity, age group, job titles, job levels, business units and departments.

HR Analysis in Power BITo obtain critical insights related to workforce composition, salary distribution and employee retention situation, segmented across gender, ethnicity, age group, job titles, job levels, business units and departments.

Coffee Shop Sales Analysis in Power BIThis report summarizes the key insights which focus on sales trends, monthly growth, customer purchasing behavior and product and store level performance over six months in 2023.

Coffee Shop Sales Analysis in Power BIThis report summarizes the key insights which focus on sales trends, monthly growth, customer purchasing behavior and product and store level performance over six months in 2023.

Leveraging Deep Learning for Sentiment Analysis of Online Restaurant Customer Reviews - Using PythonLeverage deep learning models, including BERT, CNN and BiLSTM-attention to accurately classify customer sentiments in restaurant reviews automatically and it is utilized for further aspect sentiment analysis.

Leveraging Deep Learning for Sentiment Analysis of Online Restaurant Customer Reviews - Using PythonLeverage deep learning models, including BERT, CNN and BiLSTM-attention to accurately classify customer sentiments in restaurant reviews automatically and it is utilized for further aspect sentiment analysis.

World Layoffs Analysis - Using SQL and Power BII analyze global layoff trends from March 2020 to November 2024 to uncover which companies, industries and countries are most affected.

World Layoffs Analysis - Using SQL and Power BII analyze global layoff trends from March 2020 to November 2024 to uncover which companies, industries and countries are most affected.

Electronics Store Sales Analysis - Using PythonAnalyze 12 months of 2019 transaction data from an electronics store to identify key sales patterns.

Electronics Store Sales Analysis - Using PythonAnalyze 12 months of 2019 transaction data from an electronics store to identify key sales patterns.

Bike-sharing Analysis - Using RAnalyze as a marketing analyst at Cyclistic, a bike-share company in Chicago. Investigate how casual riders and annual members use Cyclistic bikes differently, which then help to develop marketing strategy to convert casual riders to annual members.

Bike-sharing Analysis - Using RAnalyze as a marketing analyst at Cyclistic, a bike-share company in Chicago. Investigate how casual riders and annual members use Cyclistic bikes differently, which then help to develop marketing strategy to convert casual riders to annual members.

Data Visualization in Tableau – Seatle Airbnb ListingsI build an interactive Tableau dashboard to explore Seattle Airbnb listings. The analysis uncover areas with high prices, peak season, the most potential listings.

Data Visualization in Tableau – Seatle Airbnb ListingsI build an interactive Tableau dashboard to explore Seattle Airbnb listings. The analysis uncover areas with high prices, peak season, the most potential listings.

Data Cleaning in SQL – Nashville Housing DatasetDemonstrating essential SQL data cleaning skills on the raw housing data from Nashville. The project involves handling missing values using self-joins, converting data types, parsing and splitting address fields, standardizing inconsist

Data Cleaning in SQL – Nashville Housing DatasetDemonstrating essential SQL data cleaning skills on the raw housing data from Nashville. The project involves handling missing values using self-joins, converting data types, parsing and splitting address fields, standardizing inconsist

About Thi Yen Nga

Financial Performance Analysis

Customer Segmentation Based on RFM Analysis - Using SQL and Power BI

HR Analysis in Power BI

Coffee Shop Sales Analysis in Power BI

Leveraging Deep Learning for Sentiment Analysis of Online Restaurant Customer Reviews - Using Python

World Layoffs Analysis - Using SQL and Power BI

Electronics Store Sales Analysis - Using Python

Bike-sharing Analysis - Using R

Data Visualization in Tableau – Seatle Airbnb Listings

Data Cleaning in SQL – Nashville Housing Dataset