Karen Danielyan
Verified Expert in Engineering
Data Scientist and Developer
Karen is an experienced data scientist and machine learning engineer with a solid background in mathematics and statistics and a proven work track record in the fintech and ad-tech industries. Throughout his career, he has embraced different projects, including building and deploying various models for risk scoring and advertisement-exchange optimization pipelines. Karen is keen on handling big data and machine learning pipelines from data integration to final model deployment.
Portfolio
Experience
Availability
Preferred Environment
PyCharm, SQL Management Studio, Linux, Windows, MacOS
The most amazing...
...solution I've developed is a credit-risk machine learning pipeline that significantly brought down the default rates.
Work Experience
Data Scientist | ML Engineer
NIC MAP Vision LLC
- Created a regression model to predict senior housing trends, then packaged this into an API.
- Developed a custom KNN model with tailored distance metrics, including geographic calculations. Did custom implementation on top of NumPy to handle and process large datasets for precise outcomes efficiently.
- Enhanced a TensorFlow-based NLP model and built integrations with OpenAI GPT and Embedding APIs for new use cases.
Machine Learning Developer
First Community Bank - Main
- Developed a machine learning pipeline for Credit Risk.
- Performed customer segmentation based on their default risk and profitability.
- Performed ad-hoc analysis on the Credit Risk features and profitability data.
Data Scientist
Tadpull, Inc.
- Developed and implemented anomaly detection models, accounting for historical data and seasonal traffic changes, resulting in real-time alerts for ad spend, return on ad spend, product sell-thru rate, and high-traffic pages with low transaction rates.
- Created propensity models to predict customer purchases, repurchases, and churn using individual attributes/actions (e.g., past purchases, location, website behavior), enhancing targeted marketing efforts.
- Created forecasting models to accurately predict website traffic, revenue, and projected sellout dates, considering seasonality and enabling better inventory management and marketing strategies.
Machine Learning Engineer
Verve Group
- Maintained a framework for utilizing daily data of 120 billion auctions from various partner companies and associated demand and supply partners.
- Built a framework to train traffic-shaping and bid-optimizer models and deploy them on the ad-server hourly.
- Conducted ad-hoc performance analysis, gathering insights from a vast dataset.
Data Scientist
Bondora
- Built, deployed, and maintained a machine learning pipeline from data integration to a Docker image and API service in production.
- Performed ad-hoc data mining, hypothesis testing, and insight gathering for management decision-making.
- Analyzed A/B testing results using statistical methods.
Data Scientist
Deloitte Audit Analytics
- Assisted in developing ranking algorithms for companies based on random forest and clustering.
- Performed data migration from Azure to GCP, created a sustainable database structure, data processing pipelines, and ETL, and developed analytical tools.
- Gathered ad-hoc analytical insights from collected data.
Data Specialist
One Market Data
- Performed tick data collection, processing, and storing for equity and futures markets and created a final sellable product with the Quant Data team.
- Covered the data processing for more than 200 exchanges.
- Developed various SQL stored procedures and functions for managing a constant data flow.
- Supported the normalization of the very granular exchange data as well as processing to fit the clients' needs like back testing of trading strategies, using the composite exchange prices for validation, order book creation, and more.
Experience
Credit Risk Modeling Pipeline
Traffic Shaping Framework
Sustainable Finance Project
Customer Segmentation for Targeted Marketing Strategies
Education
Master's Degree in Mathematics and Statistics
University of Tartu - Tartu, Estonia
Bachelor's Degree in Mathematics and Statistics
Yerevan State University - Yerevan, Armenia
Skills
Languages
Python, SQL, R, Perl
Libraries/APIs
Scikit-learn, Pandas, NumPy, Keras, Spark ML, Dask, Natural Language Toolkit (NLTK), TensorFlow, PyTorch
Paradigms
Data Science, ETL
Other
Machine Learning, Statistical Modeling, Statistics, Probability Theory, Predictive Modeling, Regression, Mathematics, Deep Learning, Stochastic Modeling, Derivative Pricing, Calculus, Linear Algebra, Analytical Geometry, Differential Equations, Time Series Analysis, Stochastic Differential Equations, Data Analytics, Artificial Intelligence (AI), Financial Modeling, Data Analysis, A/B Testing, Machine Learning Operations (MLOps), Time Series, Data Mining, Data Modeling, Data Reporting, OpenAI GPT-3 API, Neural Networks, Big Data Architecture, Cloud Computing, Option Pricing, BentoML, Natural Language Processing (NLP), Optimization, Google BigQuery, Algorithms, Trading, Data Visualization, GPT, Generative Pre-trained Transformers (GPT), Credit Risk, Real-time Data, OpenAI GPT-4 API, LangChain, Embeddings from Language Models (ELMo)
Tools
PyCharm, SQL Management Studio, Jupyter, MATLAB, GitLab CI/CD, Git, GitHub, Apache Airflow, Shell
Platforms
Jupyter Notebook, Linux, Docker, Kubernetes, Azure, Windows, MacOS, Google Cloud Platform (GCP), Amazon Web Services (AWS), Databricks
Storage
MySQL, Redis, Google Cloud, Microsoft SQL Server
Frameworks
Flask, Spark
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