Eduard Mihranyan
Verified Expert in Engineering
Machine Learning Developer
爱德华是一位经验丰富的数据科学家,在IT公司和银行业工作过. Having more than seven years of experience in the industry, 他已经证明了自己在提供高质量的端到端解决方案方面的能力,这些解决方案显著提高了公司的kpi. 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
Availability
Preferred Environment
PyCharm, Slack, GitHub, Amazon Web Services (AWS), ARIMA, Forecasting, JupyterLab
The most amazing...
...我为一家最大的照片编辑公司开发了一个内部推荐引擎.
Work Experience
Senior Machine Learning Engineer
Plat.AI
- Created an object replacement model, 哪个在图像中找到描述的对象,并用新对象的提供的图像替换它, 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, 哪一个估计事故发生的概率,并根据风险计算保险费率.
- 建立了一个客户时间序列预测模型,用于银行业,以改进其评分模型.
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.
- 创建并训练内部推荐模型(基于用户和基于项目),这些模型将来可能用于取代当前的解决方案.
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. 第一个模型是基于用户偏好的,在推出后,每个接触点的贴纸使用量增长了300%以上.
- 在创建了一个考虑照片和贴纸之间的视觉匹配的模型后,付费内容的使用率增加了150%,订阅指标也有了显著增长.
- 通过设计一个模型,捕捉用户对PicsArt工具和内容的偏好,并将其划分为有意义的细分,提高了营销团队在定位受众方面的活动成功率.
- 创建一个异常检测算法,捕获应用程序崩溃中的异常峰值,并向开发团队报告, improving the team's process for fixing bugs.
- 通过开发向用户展示广告和订阅服务的广告优化模式,大大增加了公司的收入.
- Conducted a global company analysis for the CEO to find optimal ways of development, 这改变了公司的发展方向,并导致了一个新的部门组织的最高优先级的项目.
- 管理一个三人团队,负责不同的项目,并鼓励他们的个人成长.
Machine Learning Scientist
Ameriabank
- 开发了一个信用风险模型来预测保留客户的违约,这是目前获得零售信贷的主要方法. The result is a significant increase in the company's profit.
- 创建了一个预测企业客户风险的模型,作为获得企业信贷的主要方法, which resulted in a significant increase in the company's profit.
- 开发信贷组合优化模型,提高当前投资组合的盈利能力.
Machine Learning Engineer
BetConstruct
- Improved the previous prototype for modeling the final score of soccer matches.
- 开发了一个预测角球和足球比赛中黄牌或红牌数量的模型.
- 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
Languages
SQL, Python, R, Snowflake
Libraries/APIs
PySpark, LSTM, PyTorch, XGBoost, NumPy, Pandas, Scikit-learn, TensorFlow, Keras, Spark ML
Tools
Google Analytics, Gensim, GitHub, Git, Tableau, BigQuery, Google AI Platform, Microsoft Power BI, ChatGPT, Plotly
Paradigms
Data Science
Other
Machine Learning, Deep Learning, Data Analysis, Statistics, Artificial Intelligence (AI), Recommendation Systems, Mathematics, Analytics, Natural Language Processing (NLP), AI Design, Neural Networks, Artificial Neural Networks (ANN), AI Programming, ARIMA, ARIMA Models, Forecasting, JupyterLab, Random Forests, Linear Regression, Model Development, BERT, Data Analytics, Data Reporting, GPT, Generative Pre-trained Transformers (GPT), Data Extraction, Predictive Modeling, Probability Theory, Predictive Analytics, Data Scientist, Data Modeling, Statistical Data Analysis, Transformers, Data Processing, Engineering, Torch, Reinforcement Learning, Research, Finance, Optimization, Time Series Analysis, Time Series, Google BigQuery, Architecture, Financial Modeling, SARIMA, 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, Generative AI, 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
Frameworks
Spark
Platforms
Amazon Web Services (AWS), Databricks, Google Cloud Platform (GCP), Kubernetes, Docker, Azure, Azure SQL Data Warehouse, Dedicated SQL Pool (formerly SQL DW)
Storage
MySQL, PostgreSQL, Data Pipelines
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