With over five years of experience in software development and quality assurance, I have honed my skills in designing, implementing, and managing automated testing frameworks. My expertise includes a variety of testing tools and frameworks like Selenium WebDriver, Cypress, REST API, JIRA, and more, which I have used to deliver robust and reliable applications at high-quality standards. In my recent role at Chubb, I developed automation strategies that enhanced testing efficiency, integrated CI/CD pipelines, and collaborated closely with development and DevOps teams. Additionally, my background spans across diverse industries, including finance, healthcare, and telecommunications, which has strengthened my adaptability and problem-solving abilities. Highlights of my qualifications include: Proficiency in automation tools (Selenium, Cypress, Appium, and LoadRunner). Experience in creating automated test frameworks for web and mobile applications. Strong knowledge in API Testing (SOAP, REST) using tools like Postman and REST Assured. Collaborating with cross-functional teams to ensure comprehensive test coverage.

Senior Data Scientist with the double competency of data science and data engineering, my main domains of intervention are : - Supervised and unsupervised Machine learning modelling (NLP, LLM, Forecasting, Computer Vision, Anomaly Detection) - Setting up data storage solution, such as data lakes and date warhouse, - Setting up data ingestion and processing pipelines using big data technologies, suck as apache spark, hadoop - Cloud and infrastructure management and more especially AWS and Azure

An Optimizer by nature, excellent record of streamlining analytics workflows while collaborating in cross-functional teams. 7+ years of IT experience in DWH/BI/ETL implementation projects at a Big Four analytics branch, as well as exposure to ML methods and distributed systems for Telecommunication consultancy firms.

*** Cloud Computing, Data Governance and AI *** Seasoned Solution Architect with 14+ years of experience delivering robust, scalable data solutions on the cloud preferably Microsoft Azure. Proven track record in designing, developing, and maintaining critical data platforms for clients across diverse industries, including Bank and Finance, Healthcare, Retail, and Construction. Deep expertise in SaaS services, cloud infrastructure, microservices-based architectures, and data engineering best practices. Proficient in leveraging the Microsoft Azure cloud data platform, including Azure Data Lake, Azure SQL Database, and Azure Synapse Data Warehouse, to monitor and optimize data pipelines. Skilled in data processing orchestration using Azure Data Factory and Databricks, with a strong focus on ensuring data quality, error handling, and operational stability. Excellent communication, analytical, problem-solving, and collaboration skills with advanced programming skills in C#, Java, Python, and Node.js.

Being an applied data science and machine learning practitioner, I have had the opportunity to work on several projects for the fulfilment of predictive platforms, neural networks for image recognition, natural language processing, data-driven growth models. Passionate about all the technological dimensions of my specialty, I am constantly learning and improving my skills to consolidate a profile that best suits the various demands of the market.

Hi I am Abhinav, a Backend/Data science Developer with 4 years of experience working full time. My main Languages that I have used are: Python, R, Scala. Dask. I have worked with many Technologies such as: PostgreSQL, Redis, PySpark , Cassandra, MongoDB, Hive, Pig, Flask, Kafka, Django. Looking forward for new opportunities.

Software Engineer, technical leader with a diversified technical background and some leadership/management experience. Mostly worked for product companies, I like to be part of the mission. Fields of experience so far: Distributed systems and microservices architectures in the cloud (mostly AWS and some Google Cloud), data collection and processing pipelines in high volume ecosystems, data interpretation (analytics), machine learning (NLP), mobile development, smart contracts, managing teams of up to 10 engineers (about 2.5 years of exp)

Data Engineer with extensive experience across finance, telecommunications, food delivery, FMCG, and IT/cloud services.I specialize in end-to-end data engineering, developing scalable batch and real-time processing systems, designing data warehouse architectures, and leading data migration and optimization efforts. My projects have involved building robust data platforms and driving data initiatives in collaboration with cross-functional teams. I’m also dedicated to mentoring junior engineers and analysts, fostering growth and excellence within teams.

I am Mohamed Hisham, a Senior Data Engineer with extensive experience in data management, analytics, and pipeline development across various cloud platforms, including GCP, Azure, and AWS. My expertise spans building optimized data layers, implementing medallion architectures, and developing end-to-end data solutions. I have a strong background in programming with Python and SQL, and I am skilled in utilizing BI tools like Power BI and Looker for insightful reporting. With certifications in Azure and Snowflake, I have successfully led data projects for organizations like Weight Watchers, TelevisaUnivision, and Unilever. Additionally, I hold an academic diploma in Computer Science from Cairo University and actively pursue leadership and technical training programs.

Hello I'm Mohamed, and I'm interested in the challenges of the world of data. I consider myself as a good problem solver, a good researcher who can ask the right questions and make out of the box suggestions, learn new necessary technologies to apply these suggestions and tackle the problem with most simplified way possible. and that's my most valuable skill