Christine Elizabeth Escaño
Associate Data Scientist
Tokyo
Summary
Versatile professional with 8 years of success as Head Teacher at Mulberry International School, conceptualizing and building curriculum, training teachers, and ensuring effective parent communication. Transitioning to Data Science, I'm enrolled in Le Wagon's Data Science and AI Bootcamp, graduating in Mar 2024, and recently certified as a Data Scientist Associate by DataCamp.
Overview
8
8
years of professional experience
27
27
years of post-secondary education
1
1
Certification
3
3
Languages
Work History
Head Teacher
Mulberry International School
04.2016 - 03.2024
- Conceptualize and build the school's curriculum
- Train teachers and evaluate their performances
- Communicate with parents regarding student progress and future goals
Data Science Competitor
Kaggle
01.2024 - 01.2024
Competition Title: House Prices - Advanced Regression Techniques
- This is an open competition on Kaggle where we predict sales prices and practice feature engineering, RFs, and gradient boosting
- My model got a score of 0.13936 which is among the top 40% of the current leaderboard.
Data Analysis Enthusiast
Personal Projects
11.2023 - 11.2023
- Looked at the character co-occurrence network and its evolution over the five books in R.R Martin's hugely popular book series A Song of Ice and Fire
- Analyzed how the importance of the characters changes over the books using different centrality measures.
Data Analysis Enthusiast
Personal Projects
11.2023 - 11.2023
- Explored data from BusinessFinancing.co.uk on the world's oldest businesses: when were they founded, and which industries do they belong to.
Data Analysis Enthusiast
Personal Projects
10.2023 - 10.2023
- A Comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories
- Looked for insights in the data to devise strategies to drive growth and retention.
Data Analysis Enthusiast
Personal Projects
10.2023 - 10.2023
- Used data manipulation and visualization to explore patterns and trends over 100 years worth of Nobel Prize winners.
Education
Bootcamp - Data Science And Artificial Intelligence
Le Wagon
Tokyo, Japan 04.2001 - 03.2024
Bachelor of Science - Internal Audit
Far Eastern University
Manila, Philippines 05.2010 - 04.2014
Skills
Pythonundefined
Certification
Data Scientist Associate, DataCamp, 01/2024, 01/2026
Accomplishments
Cum Laude, Far Eastern University, 04/2014
Project Highlights
- Nobel Prize Winners, Explored 100 years of Nobel Prize winners using data manipulation and visualization.
- Game of Thrones Network Analysis, Analyzed character co-occurrence network evolution in R.R. Martin's series using centrality measures.
- Android App Market Analysis, Conducted a comprehensive analysis of the Android app market for growth and retention strategies.
- World's Oldest Businesses, Explored data on the world's oldest businesses, including founding dates and industries.
- Kaggle Competition: House Prices, Achieved a top 40% ranking by predicting house prices using advanced regression techniques.
Timeline
Data Science Competitor
Kaggle
01.2024 - 01.2024
Data Analysis Enthusiast
Personal Projects
11.2023 - 11.2023
Data Analysis Enthusiast
Personal Projects
11.2023 - 11.2023
Data Analysis Enthusiast
Personal Projects
10.2023 - 10.2023
Data Analysis Enthusiast
Personal Projects
10.2023 - 10.2023
Head Teacher
Mulberry International School
04.2016 - 03.2024
Bachelor of Science - Internal Audit
Far Eastern University
05.2010 - 04.2014
Bootcamp - Data Science And Artificial Intelligence
Le Wagon
04.2001 - 03.2024
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