Arshak Mkhoyan
Verified Expert in Engineering
Data Scientist and Machine Learning Developer
Arshak has 3+ years of experience working as a data scientist and machine learning developer. He helped businesses become more profitable by increasing the click-through rate through recommendation systems and the retention rate of marketing campaigns using uplift modeling. Arshak is looking for projects that allow him to work with data to get valuable insights and develop machine learning algorithms to solve business tasks, showing his proficiency in Python, machine learning, and deep learning.
Portfolio
Experience
Availability
Preferred Environment
Jira, Slack, Jupyter Notebook, PyCharm, Linux, MacOS
The most amazing...
...project I've developed is a model for predicting customers' uplift (effect of communication) that increased the profitability of the marketing campaign by 20%.
Work Experience
Machine Learning Developer
USMALL
- Developed an item-to-item recommendation system leveraging deep learning methods.
- Researched eCommerce recommendation systems, state-of-the-art algorithms.
- Analyzed user traversal patterns, item popularity, and user-item interactions.
- Used AWS Sagemaker for model testing and training.
Senior Data Scientist
Globus
- Developed a model for estimating customers' uplift in marketing campaigns, increasing their profitability by 20%.
- Created a churn prediction model which assists company operators in predicting customers who are most likely subject to churn.
- Built a tool for finding similar groups of users to the one requested based on specific features.
- Analyzed customer behavior, goods characteristics, and hypermarkets.
Machine Learning Developer
BetConstruct
- Created an extractive question answering system based on NLP and statistical methods.
- Built a bot detection system to identify parsers among regular users of the website.
- Developed a chatbot system integrating several APIs and NLP-based methods.
- Managed a team of three data scientists using Jira as a reporting tool.
- Created a poker AI after researching reinforcement learning and game theory.
Business Analyst
Ameriabank CJSC
- Conducted weight adjustment on multiple survey data, ensuring accurately representative samples.
- Analyzed available data by identifying main trends, changes, and root causes.
- Visualized data and prepared reports for stakeholders.
Experience
Uplift Model for Marketing Campaigns
I developed a machine learning model for predicting customers' uplift in marketing campaigns. To built the model, I collected the data via A/B testing, extracted the insights, chose ML and business metrics to track performance, prepared data for modeling, created the uplift model, and tested this model in offline and online environments.
Overall, this model helped to increase the profitability of marketing campaigns by 20%.
Skills
Languages
Python, SQL
Frameworks
Selenium, Flask, Hadoop
Libraries/APIs
Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Matplotlib
Tools
Jira, Slack, PyCharm, Microsoft Excel, Git, Gensim, Jupyter, Plotly, Docker Hub, Tableau, BigQuery, Cloud Dataflow
Paradigms
Data Science, Business Intelligence (BI)
Platforms
Jupyter Notebook, Docker, Linux, MacOS, Google Cloud Platform (GCP), Amazon Web Services (AWS)
Other
Data Analysis, Deep Learning, Machine Learning, Data Visualization, Statistical Analysis, Data Analytics, Statistical Modeling, Data Scraping, Economics, Natural Language Processing (NLP), Recommendation Systems, FAISS, Statistics, Data Engineering, GPT, Generative Pre-trained Transformers (GPT), A/B Testing, Excel 365, HTML Parsing, Dashboards, Big Data
Storage
MongoDB, Data Pipelines, Elasticsearch
Education
Bachelor's Degree in Economics
American University of Armenia - Yerevan, Armenia
Certifications
Google Cloud Big Data and Machine Learning Fundamentals
Google Cloud | via Coursera
Introduction to Deep Learning
HSE University | via Coursera
Machine Learning
Stanford University | via Coursera
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