
Eduard Mihranyan
Verified Expert in Engineering
Machine Learning Developer
Yerevan, Armenia
Toptal member since January 10, 2022
Eduard is an experienced data scientist with a demonstrated history of working in IT companies and the banking industry. Having more than seven years of experience in the industry, he has proved his proficiency in providing high-quality end-to-end solutions that significantly improve company KPIs. His recent projects are in the Generative AI field, specifically LLMs and Text2Image models. Eduard is a problem solver. He continuously improves his arsenal by learning and always staying up to date.
Portfolio
Experience
- Machine Learning - 7 years
- Data Analysis - 7 years
- Python - 7 years
- Deep Learning - 7 years
- Recommendation Systems - 5 years
- Scikit-learn - 5 years
- PySpark - 3 years
- Torch - 3 years
Availability
Preferred Environment
PyCharm, Slack, GitHub, Amazon Web Services (AWS), ARIMA, Forecasting, JupyterLab
The most amazing...
...thing I've developed is an in-house recommendation engine for one of the biggest photo editing companies.
Work Experience
Senior Machine Learning Engineer
Plat.AI
- Created an object replacement model, which finds the described object in the image and replaces it with the provided image of the new object, keeping everything else the same.
- Fine-tuned an instruction-based LLM to solve a specific summarization task for the company data.
- Developed a reinforcement learning environment to explore and distribute resources optimally, maximizing the company's profit. The project had the highest priority and showed significant improvements.
- Designed an insurance scoring model, which estimates the probability of accidents and calculates the insurance rate based on the risk.
- Built a customer time series prediction model to be used in the banking industry for improving their scoring models.
Google Recommendation AI Specialist
The Estee Lauder Companies Inc.
- Developed an automated recommendation pipeline that collects and preprocesses data, trains a model, and serves as an API endpoint to request and get recommendations.
- Designed a comprehensive A/B test for checking the recommendation model's online performance.
- Created and trained in-house recommendation models—user-based and item-based—which may be used to replace the current solution in the future.
Full-stack Machine Learning Scientist
PicsArt
- Built an in-house text-to-image generation model based on Stable Diffusion, which works live, and an integrated fine-tuning mechanism so the generator could create and modify users' pictures, e.g., create a superhero with your face.
- Developed recommender system models for sticker recommendations to a user. The first model was based on user preferences and has shown more than 300% growth in sticker usage in each touchpoint when rolled out.
- Grew premium content usage by 150% and saw a significant increase in subscription metrics after creating a model that considers the visual match between a photo and sticker used for cold-start users and premium stickers.
- Boosted the marketing team's campaign success rates in targeting audiences by designing a model that captures user preferences toward PicsArt tools and content and divides them into meaningful segments.
- Created an anomaly detection algorithm that captures anomalous spikes in app crashes and reports them to the development team, improving the team's process for fixing bugs.
- Increased the company's revenue significantly by developing an ads optimization model that showed users ads and subscription offer screens.
- Conducted a global company analysis for the CEO to find optimal ways of development, which changed the company's growth direction and resulted in a new department organized with the highest priority projects.
- Managed a team of three members working on different projects and encouraged their personal growth.
Machine Learning Scientist
Ameriabank
- Developed a credit risk model to predict defaults of retained clients that currently works as the primary method for landing retail credits. The result is a significant increase in the company's profit.
- Created a model to predict the risk of corporate clients as the primary method for landing corporate credits, which resulted in a significant increase in the company's profit.
- Developed a credit portfolio optimization model to increase the profitability of the current portfolio.
Machine Learning Engineer
BetConstruct
- Improved the previous prototype for modeling the final score of soccer matches.
- Developed a model that predicted corner kicks and the number of yellow or red cards in a soccer match.
- Created a model to predict the final result of a basketball match—win, loss, or tie.
Data Scientist
TeamViewer Germany
- Collaborated with the growth hackers team and analyzed the main direction of the company's growth; found out optimal bundling of current products and optimal prices for sales.
- Conducted churn analysis based on comments from past users, which led to the main reasons for client churn (text analysis).
- Created analytic dashboards for monitoring company-wide metrics.
Experience
Text to Image Generator
Photo-based Recommender System
Preference-based Recommender System
Ads Optimization
Credit Default Prediction
Marketing Campaign Optimization
Time Series Anomaly Detection
Statistical Guarantees for Conditional Generative Models
Aesthetic Predictor
Education
Master's Degree in Data Science
Yerevan State University - Yerevan, Armenia
Skills
Libraries/APIs
PySpark, LSTM, PyTorch, XGBoost, NumPy, Pandas, Scikit-learn, TensorFlow, Keras, Spark ML
Tools
ARIMA, Google Analytics, Gensim, GitHub, SARIMA, Git, Tableau, BigQuery, Google AI Platform, Microsoft Power BI, ChatGPT, Plotly
Languages
SQL, Python, R, Snowflake
Platforms
Databricks, Amazon Web Services (AWS), Google Cloud Platform (GCP), Kubernetes, Docker, Azure, Azure SQL Data Warehouse, Dedicated SQL Pool (formerly SQL DW)
Frameworks
Spark
Storage
MySQL, PostgreSQL, Data Pipelines
Other
Machine Learning, Deep Learning, Data Analysis, Statistics, Data Science, Artificial Intelligence (AI), Recommendation Systems, Mathematics, Analytics, Natural Language Processing (NLP), AI Design, Neural Networks, Artificial Neural Networks (ANN), AI Programming, Forecasting, JupyterLab, Random Forests, Linear Regression, Model Development, BERT, Data Analytics, Data Reporting, Generative Pre-trained Transformers (GPT), Data Extraction, Predictive Modeling, Probability Theory, Predictive Analytics, Data Scientist, Data Modeling, Statistical Data Analysis, Transformers, Data Processing, Feature Engineering, Engineering, Torch, Reinforcement Learning, Research, Finance, Optimization, Time Series Analysis, Time Series, Google BigQuery, Architecture, Financial Modeling, Natural Language Understanding (NLU), Computer Vision, Generative Adversarial Networks (GANs), Language Models, Word Embedding, OpenAI GPT-4 API, Azure Databricks, Data-driven Marketing, Pricing Models, Algorithms, Data Manipulation, OpenAI, Large Language Models (LLMs), CI/CD Pipelines, Gaming, APIs, Image Generation, Google, Generative Systems, Diffusion Models, Generative Artificial Intelligence (GenAI), Text to Image, Images, Clips, Aesthetics, Content, Data Engineering, OpenAI GPT-3 API, Generative Pre-trained Transformer 3 (GPT-3), Financial Analysis
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