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Middle
Registration: 22.11.2024

Skills

Python
Numpy
Pandas
Matplotlib
Seaborn
Sklearn
Regression models
Decision tree
Random Forest
AdaBoost
XGBoost
DB scan
K-means
K-metoids
Naural Networks
TensorFlow -Keras
NLP techniques
SQL
DVC
Docker
Git
Github
Power BI

Work experience

Data Scientist
07.2022 - 01.2025 |Flux technologies
Python, Numpy, Pandas, XGBoost, Git, MSSQL, Linux, Docker, TensorFlow, Deep Learning, Machine learning
● Developing classification models for banking loan prediction and scoring projects for Armenian bank using XGBoost classifier.
ML Engineer / Data Scientist
02.2020 - 07.2022 |H&A technologies
Python, Tensorflow-keras, Scikit-learn, Git, Docker, SQL, Linux, AWS, NumPy, Pandas, MySQL, MatPlotLib, Machine Learning
● Developing classification and regression models for a medical projects, selecting data from MySQL DB, data preprocessing, selecting neccesssary features, feature engineering (Normalization, Standardization), model creation, building ML pipeline, doing Docker and deploying. ● Building customer segmentation model for an online shop, segment customers based on their purchase history, such as the types of products they buy, the amount of money they spend, and how often they shop, selecting data from datasources, doing data preprocessing, identifying and deleting outliers.

Educational background

Computer Science (Bachelor’s Degree)
2012 - 2016
Yerevan State University

Languages

EnglishIntermediate