Eduard Mihranyan
Verified Expert in Engineering
Machine Learning Developer
Eduard is an experienced data scientist with a demonstrated history of working in IT companies and the banking industry. 有七年以上的行业经验, he has proved his proficiency in providing high-quality end-to-end solutions that significantly improve company KPIs. 他最近的项目是在生成人工智能领域,特别是法学硕士和Text2Image模型. Eduard is a problem solver. 他通过不断学习和保持最新状态不断提高自己的武器库.
Portfolio
Experience
Availability
Preferred Environment
PyCharm, Slack, GitHub,亚马逊网络服务(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
高级机器学习工程师
Plat.AI
- 创建对象替换模型, which finds the described object in the image and replaces it with the provided image of the new object, 保持其他一切不变.
- 对基于指令的LLM进行了微调,以解决公司数据的特定汇总任务.
- 开发了一个强化学习环境,以优化探索和分配资源, 使公司利润最大化. 该项目具有最高的优先级,并显示出显著的改进.
- 设计了保险评分模型, 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.
谷歌推荐AI专家
雅诗兰黛公司.
- 开发了收集和预处理数据的自动推荐管道, trains a model, 并作为API端点来请求和获取建议.
- 设计了一个全面的a /B测试来检查推荐模型的在线性能.
- Created and trained in-house recommendation models—user-based and item-based—which may be used to replace the current solution in the future.
全栈机器学习科学家
PicsArt
- 建立了一个基于稳定扩散的内部文本到图像生成模型, which works live, 和一个集成的微调机制,使生成器可以创建和修改用户的图片, e.g.,用你的脸创造一个超级英雄.
- 开发了向用户推荐贴纸的推荐系统模型. 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, 改进团队修复bug的流程.
- Increased the company's revenue significantly by developing an ads optimization model that showed users ads and subscription offer screens.
- 为CEO进行全球公司分析,寻找最佳发展方式, 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. 结果是公司的利润显著增加.
- Created a model to predict the risk of corporate clients as the primary method for landing corporate credits, 这导致了公司利润的显著增长.
- Developed a credit portfolio optimization model to increase the profitability of the current portfolio.
Machine Learning Engineer
BetConstruct
- 改进了之前的原型,用于模拟足球比赛的最终比分.
- Developed a model that predicted corner kicks and the number of yellow or red cards in a soccer match.
- 创建了一个模型来预测篮球比赛的最终结果——赢、输或平局.
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.
- 根据过去用户的评论进行流失分析, 导致客户流失的主要原因(文本分析).
- 创建分析仪表板,用于监控公司范围内的指标.
Experience
Text to Image Generator
照片推荐系统
基于偏好的推荐系统
Ads Optimization
Credit Default Prediction
营销活动优化
时间序列异常检测
条件生成模型的统计保证
Aesthetic Predictor
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, Plotly
Paradigms
Data Science
Other
Machine Learning, Deep Learning, Data Analysis, Statistics, 人工智能(AI), Recommendation Systems, Mathematics, Analytics, 自然语言处理(NLP), AI Design, Neural Networks, 人工神经网络(ANN), AI Programming, ARIMA, ARIMA Models, Forecasting, JupyterLab, Random Forests, Linear Regression, Model Development, BERT, Data Analytics, Data Reporting, GPT, 生成预训练变压器(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, 自然语言理解(NLU), Computer Vision, 生成对抗网络(GANs), Language Models, Word Embedding, OpenAI GPT-4 API, Azure Databricks, Data-driven Marketing, Pricing Models, Algorithms, Data Manipulation, OpenAI, Generative AI, 大型语言模型(llm), CI/CD Pipelines, Gaming, APIs, Image Generation, Google, ChatGPT, Generative Systems, Diffusion Models, 生成式人工智能(GenAI), Text to Image, Images, Clips, Aesthetics, Content, Data Engineering, OpenAI GPT-3 API, 生成预训练变压器3 (GPT-3), Financial Analysis
Frameworks
Spark
Platforms
Amazon Web Services (AWS), Databricks, 谷歌云平台(GCP), Kubernetes, Docker, Azure, Azure SQL Data Warehouse, 专用SQL池(以前称为SQL DW)
Storage
MySQL, PostgreSQL,数据管道
Education
数据科学硕士学位
埃里温州立大学-埃里温,亚美尼亚
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