Arsine S.
Data Scientist
Arsine is a talented Data Scientist with four years of experience specializing in Machine Learning, Business Analytics, NLP, and causal analysis.
She has worked as a Senior Data Scientist at Metric, where she developed state-of-the-art NLP approaches for product classification, information extraction, and prompt engineering.
Arsine has successfully completed various projects across different domains, including news analysis, product class identification, question-answering systems, human activity classification, house price prediction, and the development of a tax fraud detection framework.
Hauptkompetenz
- Data Science 4 Jahre
- Python 4 Jahre
- Data Analytics 4 Jahre
Andere Fähigkeiten
- Git 3 Jahre
- SQL 2 Jahre
- Topic Modelling 2 Jahre
Ausgewählte Erfahrung
Beschäftigung
Adjunct Lecturer
American University of Armenia - 1 jahr 8 monate
- Developed a graduate course on advanced data analysis topics, covering customer segmentation, PCA, research techniques, association rule mining, SQL basics, and more.
- Adapted real-life company consulting projects for student assignments to apply learned concepts.
- Designed a unique learning curriculum to fill knowledge gaps in data science and support future professional development.
Technologien:
- Technologien:
- Data Science
Python
- Data Analytics
Machine Learning
- Data Engineering
- PCA
- Regression testing
- Clustering
NumPy
Pandas
Plotly
Scikit-learn
Senior Data Scientist
Metric - 3 jahre 1 monat
- Created an end-to-end pipeline for historical and real-time news scraping.
- Implemented text cleaning, part-of-speech tagging, feature generation, and sentiment score evaluation.
- Developed news text preprocessing and analysis to classify whether it was a rumor, based on a unique threshold scheme and forward-looking algorithm.
Technologien:
- Technologien:
- Data Science
-
Python
- Data Analytics
-
Machine Learning
- Data Engineering
- Data Modeling
- NLP
- Regression testing
- Clustering
-
NumPy
-
Pandas
-
Plotly
-
Scikit-learn
SciPy
Senior Data Scientist
Metric - 4 jahre
- Managed and led 360-degree US retail market research for data acquisition, cleaning, and early trend identification.
- Performed extensive data quality checks for 10+ data sources and identified the most informative ones for environmental, demographic, and speed information.
- Led data acquisition and scraping, merged various data sets, and created a fully automated working pipeline for continuous data updates and warehousing.
- Conducted research to generate features and develop approaches for early identification of trends and the most promising locations.
Technologien:
- Technologien:
- Data Science
-
Python
- Data Analytics
-
Machine Learning
- Data Engineering
- Data Modeling
XGBoost
- Topic Modelling
ETL
-
NumPy
-
Pandas
-
Plotly
-
Scikit-learn
-
SciPy
Ausbildung
Dr. Phil.Economics
Armenian State University of Economics · 2021 - 2026
MSc.Advanced Analytics and Machine Learning Track
American University of Armenia · 2018 - 2020
BSc.Business
American University of Armenia · 2014 - 2018
Portfolio
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