Publication
利用销售预测人工智能优化零售商收入
http://2r.afroradionetwork.com/artificial-intelligence/retail-sales-forecasting-ai
Ahmed is available for hire
Hire AhmedAhmed Khaled
Verified Expert in Engineering
数据科学开发人员
Location
开罗，埃及开罗省
至今成员总数
March 23, 2020
Ahmed is a senior data scientist who loves to dig into his clients' problems and solve them using state-of-the-art data-driven solutions. He can design, implement, 并部署数据科学解决方案来解决问题, 优化的结果, 或者自动化一个过程. 他与小型和大型企业都有过合作. He focuses on creating business opportunities to optimize the outcome. 他教育自己，改善自己，驱使自己成为一个更好的人.
Portfolio
辉瑞-制造操作解决方案
R, RStudio Shiny, RStudio, JavaScript, Applications, GMP, Agile, Python...
SciMar One, LLC
Python, Azure, Version Control, APIs, Databases, MongoDB, SQL, Pyodbc, Async.js...
Freelance
亚马逊网络服务(AWS), OpenCV, 自然语言工具包(NLTK), Keras...
Experience
Availability
Part-time
首选的环境
Data Science, Shell, Linux, Matplotlib, Plotly, Keras, PyTorch, TensorFlow, OpenCV, Docker, GitHub, Apache Hive, SQL, Tableau, R, Python, JavaScript
最神奇的...
...program I've built forecasts product demand in a multi-branch store to create the best combination of products to put in the store and optimize revenue.
Work Experience
R Developer
2021 - PRESENT
辉瑞-制造操作解决方案
- 开发了一个操作安全数据库的应用程序, 像创造这样的基本操作, editing, 删除记录, 审批制度和审计, and Excel-like looks and feel; GMP validated and currently in production.
- Created an automated reporting application that takes certain input from users and can generate any of the four reports based on a template and dynamic data retrieved by user choice.
- Implemented an e-signature system in R Shiny using OAuth 2 mechanism.
Technologies: R, RStudio Shiny, RStudio, JavaScript, Applications, GMP, Agile, Python, SAML-auth, OAuth 2, Data Science, 数据驱动的决策, 决策建模, Decision Trees, OCR, API Integration, 监督式机器学习, 无监督学习, MySQL, Data Analytics, Snowflake, Spotfire, Python 3, CSS, HTML, Dash, 谷歌合作实验室(Colab)
Python后端开发者
2021 - PRESENT
SciMar One, LLC
- Developed the core logic of the website back end using Python and hosted on Azure.
- 设计网站后端的数据库架构.
- 为管理功能设计了几个Azure Logic应用程序.
技术:Python, Azure, Version Control, APIs, Databases, MongoDB, SQL, Pyodbc, Async.js, Web Scraping, 面向对象编程(OOP), Algorithms, 人工智能(AI), 亚马逊网络服务(AWS), PostgreSQL, Git, Data Science, 数据仓库设计, 数据仓库, AWS Lambda, Docker, GitHub, Linux, Optimization, 工程数据, Time Series, 图像处理, Forecasting, 时间序列分析, Neural Networks, 图像识别, 深度神经网络, 卷积神经网络(CNN), 递归神经网络(rnn), Cloud Computing, 计算机视觉算法, 预测建模, OCR, Team Leadership, API Integration, 机器学习操作(MLOps), 监督式机器学习, 无监督学习, MySQL, Data Analytics, 文本分类, Python 3, Videos, Models, Scikit-learn, Dash, 谷歌合作实验室(Colab)
高级数据科学家
2018 - PRESENT
Freelance
- Built a program that takes a lung CT scan as an input and gives back a numerical and visualization output of the detected nodules in the scan, 同时在结节和患者水平上进行恶性评分.
- 负责仪表板的创建, 数据可视化, 用Tableau讲故事, linked to multiple data sources; these dashboards were built to communicate findings with technical and non-technical people.
- Developed a receipt Optical Character Recognition (OCR) and text classifier to categorize items within a receipt to various classes.
- Implemented a community detection algorithm for academic purposes to detect better design patterns for the UK railway stations.
- Designed and built a tremor classification model based on 3D gyroscope acceleration readings.
- Developed a snoring detection program for medical purposes using 亚马逊SageMaker.
- Built an ace percentage forecast model to forecast the number of aces made by a tennis player in ATP or WTP tournaments. It reached 0.4 total loss.
- Created, trained, and deployed a resume parser in Spanish and English using AWS instances.
- Devised a sentiment scoring model based on restaurant reviews with a Yelp dataset.
- Developed the RL agent based on deep q-learning to play Sichuan mahjong. Created a rule-based model to generate data acting as a starting point in Sichuan mahjong. Used SL to train on the generated data and then RL to enhance the performance.
技术:亚马逊网络服务(AWS), OpenCV, 自然语言工具包(NLTK), Keras, Computer Vision, Data Analysis, TensorFlow, Data Science, Git, Jupyter, Pandas, 机器学习, Writing & Editing, 生成对抗网络(GANs), 业务流程优化, 生成预训练变压器(GPT), 自然语言处理(NLP), GPT, 人工智能(AI), Deep Learning, Tableau, R, Python, Algorithms, SQL, PostgreSQL, 数据仓库设计, 数据仓库, AWS Lambda, MongoDB, Docker, Azure, GitHub, Linux, Statistics, Optimization, 工程数据, A/B Testing, Medical Imaging, 强化学习, 面向对象编程(OOP), 图像处理, Forecasting, 时间序列分析, Neural Networks, 图像识别, 深度神经网络, 卷积神经网络(CNN), 递归神经网络(rnn), Cloud Computing, 计算机视觉算法, 预测建模, 亚马逊机器学习, Salesforce, GIS, 统计建模, 统计分析, JavaScript, 数据驱动的决策, 决策建模, Decision Trees, OCR, Leadership, 语音识别, Team Leadership, API Integration, 机器学习操作(MLOps), 监督式机器学习, 无监督学习, C++, MySQL, Data Analytics, Snowflake, 文本分类, Hugging Face, 情绪分析, Python 3, Videos, Models, Scikit-learn, 图像生成, Dash, Team Mentoring, 谷歌合作实验室(Colab)
交通解决方案计算机视觉专家
2022 - 2023
Route Konnect
- Developed an app that detects and tracks vehicles and provides insights and analysis they may require.
- Implemented a new tracker integrating movement- and visual-based trackers ByteTrack and ReID.
- Introduced a homography calculator based on point selection in Python.
技术:计算机视觉, Python, OpenCV, Hugging Face, Python 3, Videos, Models, Scikit-learn, 谷歌合作实验室(Colab)
计算机视觉/深度学习工程师
2020 - 2021
运动视觉实验室
- Developed a soccer field registration module using Synthetic edge map dataset creation.
- Created a Player detection and tracking module using Deep Sort and Yolo.
- Built a Jersey number recognition module using super-resolution gans and deep learning.
- 开发了一个无监督模型来对每个球员的球队进行分类.
技术:Python, Deep Learning, 机器学习, Computer Vision, Version Control, Tracking, OpenCV, PyTorch, TensorFlow, Keras, Algorithms, 人工智能(AI), 亚马逊网络服务(AWS), SQL, Git, Data Science, GitHub, Linux, Statistics, Optimization, 工程数据, 面向对象编程(OOP), 图像处理, Forecasting, Neural Networks, 图像识别, 深度神经网络, 卷积神经网络(CNN), 递归神经网络(rnn), Cloud Computing, 计算机视觉算法, 预测建模, 数据驱动的决策, 决策建模, Decision Trees, OCR, Leadership, 监督式机器学习, 无监督学习, MySQL, Data Analytics, 亚马逊SageMaker, Hugging Face, 情绪分析, Python 3, Videos, Models, 图像生成
Data Scientist
2018 - 2019
突触的分析
- 制定了水泥市场价格每日预测, 一家大水泥公司, 减少公司与经销商之间的资金损失, with ten days horizon; 91% of forecast values were within a 5% error margin.
- Implemented a store assortment forecast to forecast the weekly demand of products and give the best combination of products to get the highest revenue possible; 90% of forecasts were within a 5% error margin. 构建在AWS EC2云实例上.
- Developed a lot of presentations and dashboards for various projects using Superset, Tableau, and Plotly.
- Handled big databases, and maintained their structure, design, and data flow.
- 在诊所推荐系统上工作, along with a time series forecasting model to predict when will be the next visit for a patient.
技术:OpenCV, Keras, TensorFlow, Data Science, Git, Jupyter, Pandas, 机器学习, Data Analysis, 数据可视化, GPT, 自然语言处理(NLP), 生成预训练变压器(GPT), Computer Vision, Deep Learning, Tableau, R, Python, Algorithms, 人工智能(AI), 亚马逊网络服务(AWS), SQL, PostgreSQL, 数据仓库, AWS Lambda, MongoDB, Docker, Azure, GitHub, Linux, Statistics, Optimization, 工程数据, Medical Imaging, 面向对象编程(OOP), 图像处理, Forecasting, 时间序列分析, Neural Networks, 图像识别, 深度神经网络, 卷积神经网络(CNN), 递归神经网络(rnn), 计算机视觉算法, 预测建模, 统计建模, 统计分析, 数据驱动的决策, 决策建模, Decision Trees, OCR, 语音识别, API Integration, 机器学习操作(MLOps), 监督式机器学习, 无监督学习, MySQL, Data Analytics, 亚马逊SageMaker, 文本分类, 文本分类, 情绪分析, Python 3, Videos, Models, 图像生成, Dash
Experience
枪支使用数据和美国人口普查数据的简单EDA
This exploratory data analysis was done to study the relationship between the census data and the portions of the population in the US who uses guns to get insights among them and try to prevent or reduce this usage in the future.
足球场登记及转播分析
Designing and implementing a pipeline that takes a broadcast and performs:
•足球边缘检测
•玩家检测和跟踪(与遮挡处理)
•球衣号码识别
•单字提取(玩家在小地图上的映射)
•球员队伍分类
•球检测和映射
•使用凸优化消除同源序列口吃
所有这些都是用Python完成的，使用免费定制的数据集.
•足球边缘检测
•玩家检测和跟踪(与遮挡处理)
•球衣号码识别
•单字提取(玩家在小地图上的映射)
•球员队伍分类
•球检测和映射
•使用凸优化消除同源序列口吃
所有这些都是用Python完成的，使用免费定制的数据集.
阿拉伯语情感分析
This project aimed to retrieve the sentiment of an Arabic sentence scraped from Twitter regarding multiple subjects. 第一次试验是针对与COVID-19相关的推文, 然后它被用于其他材料，比如运动.
Skills
Languages
Python, SQL, Python 3, R, Java, C++, Snowflake, CSS, HTML, JavaScript
Libraries/APIs
Pandas, Matplotlib, TensorFlow, Keras, PyTorch, 自然语言工具包(NLTK), OpenCV, Scikit-learn, Pyodbc, GMP
Tools
Jupyter, Plotly, 谷歌分析, Tableau, Git, LaTeX, GIS, 亚马逊SageMaker, Spotfire, GitHub, Shell
Paradigms
ETL，面向对象编程(OOP)，数据科学，敏捷
Platforms
Jupyter Notebook, 亚马逊网络服务(AWS), AWS Lambda, Azure, Docker, Salesforce, Linux, RStudio
Storage
PostgreSQL, Databases, MySQL, MongoDB, Elasticsearch, Apache Hive
行业专业知识
教学、生物信息学
Other
人工智能(AI), 时间序列分析, Modeling, Statistics, 工程数据, 图像处理, Algorithms, Deep Learning, 机器学习, Computer Vision, 自然语言处理(NLP), 业务流程优化, Time Series, Medical Imaging, 数据可视化, Optimization, A/B Testing, EDA, Forecasting, 强化学习, 深度强化学习, EMR, 生物医学技术, Data Analysis, Tracking, Deployment, Version Control, APIs, Neural Networks, 图像识别, 深度神经网络, 卷积神经网络(CNN), 递归神经网络(rnn), Cloud Computing, 计算机视觉算法, 预测建模, 亚马逊机器学习, 文本分类, 文本分类, 监督式机器学习, 无监督学习, Data Analytics, GPT, 生成预训练变压器(GPT), Hugging Face, 情绪分析, Videos, Models, Dash, 谷歌合作实验室(Colab), Big Data, 技术设计, 数据仓库设计, 生成对抗网络(GANs), 数据仓库, 遗传算法, 决策分析, 电子健康记录(EHR), 信息检索, 概率信息检索, 统计建模, 统计分析, 数据驱动的决策, 决策建模, Decision Trees, OCR, Leadership, Team Leadership, API Integration, 机器学习操作(MLOps), 图像生成, Team Mentoring, Writing & 编辑、集成、异步.js, Web Scraping, BERT, Applications, SAML-auth, 语音识别
Frameworks
Spark, Hadoop, Realtime, RStudio Shiny, OAuth 2
Education
2013 - 2018
生物医学和系统工程学士学位
开罗大学-开罗，埃及
有效的合作
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