Eduard is available for hire
Hire EduardEduard Mihranyan
Verified Expert in Engineering
Machine Learning Developer
Location
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. 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
Plat.AI
文本到图像，分析，机器学习，深度学习，金融，Python...
雅诗兰黛公司.
人工智能(AI)，谷歌云AI，推荐系统，谷歌...
PicsArt
机器学习，深度学习，数据分析，工程，CI/CD管道...
Experience
Availability
Full-time
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
2022 - PRESENT
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.
Technologies: 文本到图像，分析，机器学习，深度学习，金融，Python, OpenAI GPT-3 API, GPT, Language Models, Reinforcement Learning, Amazon Web Services (AWS), 生成预训练变压器3 (GPT-3), 生成预训练变压器(GPT), OpenAI GPT-4 API, Predictive Modeling, Pricing Models, Git, Docker, Data Scientist, ChatGPT, OpenAI, Azure, Azure SQL Data Warehouse, 专用SQL池(以前称为SQL DW), 谷歌云平台(GCP), SQL, 大型语言模型(llm)
谷歌推荐AI专家
2022 - 2022
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.
Technologies: 人工智能(AI)，谷歌云AI，推荐系统，谷歌, Python, Machine Learning, APIs, Google BigQuery, AI Design, Neural Networks, Forecasting, MySQL, Data Pipelines, Snowflake, Model Development, Data Analytics, Data Extraction, Data Engineering, Git, Data Scientist, 谷歌云平台(GCP), Google Analytics, BigQuery
全栈机器学习科学家
2019 - 2022
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.
Technologies: 机器学习，深度学习，数据分析，工程，CI/CD管道, Torch, Reinforcement Learning, Statistics, Research, Python, PySpark, Pandas, Scikit-learn, Gensim, NumPy, 人工智能(AI), Recommendation Systems, GitHub, Data Science, Google Cloud AI, Mathematics, Analytics, Time Series, R, APIs, GPT, 生成预训练变压器(GPT), 自然语言处理(NLP), AI Design, Time Series Analysis, Amazon Web Services (AWS), Neural Networks, 人工神经网络(ANN), TensorFlow, Image Generation, ARIMA, ARIMA Models, Forecasting, LSTM, 自然语言理解(NLU), PyTorch, JupyterLab, MySQL, Random Forests, XGBoost, Data Pipelines, Linear Regression, Snowflake, Model Development, Keras, Computer Vision, BERT, Data Analytics, Data Reporting, Language Models, Data Extraction, Data Engineering, Predictive Modeling, Predictive Analytics, Databricks, Azure Databricks, Data-driven Marketing, Pricing Models, Git, Docker, Algorithms, Data Scientist, PostgreSQL, Plotly, Tableau, Data Manipulation, Data Modeling, OpenAI, Azure, Azure SQL Data Warehouse, 专用SQL池(以前称为SQL DW), 谷歌云平台(GCP), Statistical Data Analysis, SQL, Google Analytics, BigQuery, Transformers
Machine Learning Scientist
2018 - 2019
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.
技术:机器学习, Deep Learning, Finance, Data Analysis, Optimization, Python, Pandas, Torch, Scikit-learn, Gensim, NumPy, 人工智能(AI), GitHub, Data Science, Mathematics, Analytics, Time Series, R, APIs, AI Design, Architecture, Time Series Analysis, Amazon Web Services (AWS), Microsoft Power BI, Neural Networks, 人工神经网络(ANN), TensorFlow, AI Programming, ARIMA, ARIMA Models, Forecasting, LSTM, 自然语言理解(NLU), PyTorch, JupyterLab, MySQL, Random Forests, XGBoost, Data Pipelines, Linear Regression, Model Development, Keras, Computer Vision, BERT, Data Analytics, Data Reporting, Language Models, Data Extraction, Predictive Modeling, Predictive Analytics, Data-driven Marketing, Git, Algorithms, Data Scientist, PostgreSQL, Tableau, Data Manipulation, Financial Analysis, Statistical Data Analysis, SQL
Machine Learning Engineer
2017 - 2018
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.
技术:机器学习, Deep Learning, Gaming, Python, Pandas, Data Analysis, Scikit-learn, NumPy, 人工智能(AI), GitHub, Data Science, Mathematics, Analytics, Time Series, R, AI Design, Microsoft Power BI, Neural Networks, 人工神经网络(ANN), TensorFlow, AI Programming, Forecasting, LSTM, 自然语言理解(NLU), PyTorch, JupyterLab, MySQL, Random Forests, XGBoost, Linear Regression, Model Development, Keras, Computer Vision, BERT, Data Analytics, Data Reporting, Data Extraction, Predictive Modeling, Algorithms, Data Scientist, Google Analytics
Data Scientist
2016 - 2017
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.
技术:机器学习, Statistics, Data Analysis, SQL, R, Pandas, Scikit-learn, NumPy, Data Science, Mathematics, Analytics, Time Series, AI Design, Time Series Analysis, Microsoft Power BI, Neural Networks, 人工神经网络(ANN), AI Programming, ARIMA Models, Forecasting, JupyterLab, Random Forests, XGBoost, Linear Regression, BERT, Data Analytics, Data Reporting, Predictive Analytics, Data-driven Marketing, Algorithms, Data Scientist, Tableau, Google Analytics
Experience
Text to Image Generator
A Stable Diffusion-based model is trained to create images using Gaussian noise while taking user-provided guidance in the form of images and text. 通过给模型提供用户的照片和附带的文字说明, the generator can produce a new image that modifies the original photo according to the given instructions. For example, it can create a superhero image with the user's face and position the superhero near the Eiffel Tower.
照片推荐系统
该模型在之前选择的基础上捕获了照片和贴纸之间的最佳匹配, 优质的照片编辑. It used a metric learning approach to obtain the distance between a photo and sticker based on their visual characteristics.
基于偏好的推荐系统
The model captured user-to-item and item-to-item interactions to predict and recommend new items to the current users. 我们在PicsArt用户和他们使用贴图的大量数据上训练模型. 目前，该模型正在所有平台和接触点上生产.
Ads Optimization
In this project, the model captured user preferences and interests to optimize ads in the application and show subscription offer screens based on the tools and content each user tends to like the most.
Credit Default Prediction
The project dealt with predicting the probability of default on each loan and determining the creditworthiness of each client. 每笔贷款的贷款金额和利率都是确定的, 或者如果违约的概率很高, 贷款请求被拒绝了.
营销活动优化
My role in this project was to create a machine learning model that discovered users' interests toward features of the application and divided all users into subgroups with similar interests. The marketing team used this to run the targeted marketing campaigns on the smaller groups with higher conversion rates in key metrics.
时间序列异常检测
该模型捕获了每小时计数数据崩溃行为的异常变化, 分析时间序列数据的历史. 当检测到异常时，它会提醒开发团队修复问题.
条件生成模型的统计保证
An applied research project was performed under the supervision of professor Arnak Dalalyan from ENSAE Paris. We introduced a convenient framework for studying conditional (adversarial) generative models from a statistical perspective. It consisted of modeling a generative device as a smooth transformation of a unit hypercube with a dimension much smaller than ambient space and measuring the quality of the generative model through integral probability metrics.
Aesthetic Predictor
训练一个模型来预测给定的照片是否可以被认为是美学的. The main difference between existing state-of-the-art models is that it captures company-specific standards that do not appear in open source datasets. 它也被用作内容质量评估器, 这有助于提高依赖质量分数的其他模型的性能.
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 Cloud AI, 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, 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), Docker, Azure, Azure SQL Data Warehouse, 专用SQL池(以前称为SQL DW)
Storage
MySQL, PostgreSQL，数据管道
Education
2019 - 2021
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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