Hire the Top Freelance Sas Developers in the World

Jeff is a Senior BI Consultant with a penchant for working on the cutting edge of high-performance computing, data science and advanced analytics projects; providing oversight for design decisions, best practices and processes. He employs modern BI/ETL tools for processing huge volumes of datasets; creating, maintaining and optimizing data delivery and extraction - having successfully delivered 4 data warehouses, 8 BI reporting systems and dozens of data analysis projects for clients.

Yilin is highly analytical Data Engineer with experience in financial analysis and full-stack software development; working on data programming, design, software and financial modelling. She comes on board with a strong qualitative and quantitative analytical expertise; acting as a technical point for the business intelligence needs of clients - analyzing trends to make better decisions, and building analytical tools and solutions.

With 25 years of international experience in project and product management consulting and digital transformation, Bulent has worked with multicultural, blue-chip international companies in retail, telecommunications, media, technology, and fintech. He has been engaged in AI projects across the globe, including UK, US, Germany, France, CIS, and the Gulf, offering his technical and managerial expertise in executive-level engagements and serving as a trusted advisor to Cxx-level executives. Bulent is currently the founder of Agentic Dynamic, working on AI development and implementing AI/ML solutions using advanced NLP pipelines and AI/data science packages. He delivers complex solutions and manages technical teams, translating business goals into technical execution, managing stakeholders, and driving outcomes in fast-paced environments.

Manuj is a Senior Data Engineer with 11+ years of experience taking large, disparate data sets and building them into flexible and scalable analytics applications and databases on projects. He collects, organizes, manipulates, extracts value from large datasets and shares insights that enable faster, better, data-informed decision-making. He adopts machine learning and deep learning techniques on projects - optimizing data pipeline performance and troubleshooting issues.

Milton is an experienced Data Scientist developing and using advanced software programs, algorithms, querying and automated processes to cleanse, integrate and evaluate datasets and model complex business problems on projects. He develops configurable infrastructure solutions to receive and deliver data, monitor data processes, and resolve issues - identifying meaningful insights and interpreting and communicating findings and recommendations.

• 15+ years' experience in Agile software development, QA & automated testing • Created testing frameworks from scratch & set up CI/CD pipelines • Managed remote/offshore resources. • Liaised with and authored deliverables for a wide variety of stakeholder types. • Authored 2 software testing-related patents.

Jan is a zealous machine learning engineer who possesses a fervor for software engineering, machine learning, leadership, and online education. He boasts a substantial magnitude of professional expertise in the utilization of computer vision, natural language processing, and time series analysis in both academic and business environments. In addition, Jan wholeheartedly devotes a significant portion of his leisure time to actively contributing to open-source software and engaging in the creation of educational content.

Highly accomplished Data Scientist with a strong track record of developing and deploying cutting-edge ML models. Proficient in Python, R, SQL, PySpark, Databricks, TensorFlow, PyTorch, SAS, Power BI, Git, and others. Experienced in top 3 cloud vendors (AWS, GCP, Azure). Providing Machine Learning, Al and Data Analytics services for the clients. Built various microservices to orchestrate the workload and perform OCR, extract information from documents (tables, checks, mentions etc), chunk the document, store into a vector database and process them through relevant controls to create assessments. Healthcare based project for USA client, built to perform claim processing by utilizing LLM to analyse contracts and business logic to determine rules for estimating allowable payments. Supply chain oriented product development including inventory planning & optimization, size-level planning, time series and demand forecasting. Time series forecasting of customer sales utilizing statistical and ML/Al models and estimating financial impact on a retail business. Developed a novel Churn model based on clients demographics and initial sign-up information and third party data. Development and implementation of Churn and Customer Lifetime Value (CLV) models, from data ingestion to model development, deployment and performance tracking. Improving the demand forecasting processes for selected regions by ingesting new features and improving existing forecasting pipelines. Improving the existing and creating new Power BI reports and visuals, cleaning and reorganizing data sources and migrating PPT and excel reports. A.P. served as the driving force behind risk model development and implementation, essential for loan approvals, provisions, RWA calculations, and monthly performance monitoring. Key player within the Belgrade Modeling Team, responsible for developing predictive models for loan approvals and monthly performance monitoring.

With over five years of experience as a Data Engineer , Priyank specializes in building scalable, data-centric solutions using Python. He has extensive, hands-on experience designing and implementing robust ETL pipelines for data extraction, transformation, and real-time analytics , leveraging technologies like Apache Spark, Pandas, NumPy, and AWS Glue. His proficiency extends to processing both structured and unstructured data, demonstrated by his project work building data pipelines to convert PDFs into structured JSON formats. Priyank is highly skilled in developing scalable microservices and RESTful APIs with backend frameworks such as Django, Flask, and FastAPI. He has deep knowledge of relational databases including PostgreSQL, MySQL, and Oracle , and has integrated real-time data streaming systems using Kafka. An expert in cloud-native deployment, he is proficient with both AWS (S3, ECS, Lambda, RDS) and Azure and is skilled in automating CI/CD pipelines with tools like Docker, Jenkins, and GitHub Actions. Complementing his backend and data engineering capabilities, Priyank develops intuitive user interfaces with React.js and is an excellent communicator with a strong background in Agile/Scrum collaboration.

Lalita is a seasoned data engineering & ML/Al professional with ~17 years of experience delivering real-time analytics, big data, & ML solutions across multiple industries. Expertise in the end-to-end project lifecycle, including data infrastructure design, cleansing, transformation, modeling, optimization, QA, and deployment of ETL/data pipelines to SQL/NoSQL warehouses, Delta Lake, and cloud data lakes. Skilled in designing and managing batch and real-time pipelines ingesting data from APIs, legacy systems, IoT sensors, databases, and files, integrating with streaming frameworks. Experienced in workflow orchestration and job scheduling.