Hire the Best Data Analysts
in Sweden

Struggling to unlock value from your data or build scalable, high-performance analytics platforms? I’m 𝑯𝒂𝒔𝒆𝒆𝒃 𝑨𝒔𝒊𝒇,a Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP, I build high-performance data pipelines, cloud data platforms, and real-time analytics solutions. Experienced in data warehousing, cloud integration, machine learning workflows, and performance optimization to transform raw data into actionable business insights. Let’s build reliable, scalable, and data-driven solutions for your business growth. I’ve successfully completed 99+ projects across industries, designing ETL pipelines, MLOps workflows, Delta Lake architectures, and cloud analytics solutions on AWS, Azure, and GCP. ✔️ 𝑯𝒐𝒘 𝑰 𝑯𝒆𝒍𝒑 𝑩𝒖𝒔𝒊𝒏𝒆𝒔𝒔𝒆𝒔 𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎 𝑫𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝑰𝒏𝒔𝒊𝒈𝒉𝒕𝒔 ➜ Databricks & Big Data Engineering I specialize in designing enterprise-grade Databricks Lakehouse architectures and Delta Lake solutions. My expertise in Spark and PySpark allows me to build high-performance pipelines for both batch and real-time analytics, ensuring your data infrastructure is robust and scalable. ➜ Machine Learning & MLOps With a focus on machine learning and MLOps, I build and deploy predictive models using tools like MLflow and TensorFlow. I automate end-to-end ML pipelines to enhance efficiency and accuracy, driving impactful insights from your data. ➜ Cloud & Data Platforms I implement secure, scalable cloud solutions on platforms like AWS, Azure, and GCP. My experience includes cloud migration, Kubernetes, Docker, and CI/CD automation, ensuring seamless integration and optimal performance. ➜ ETL & Data Pipelines I develop reliable ETL processes and data pipelines that streamline data integration and transformation. My work with streaming analytics using Kafka and Spark ensures real-time data processing and actionable insights. ➜ Data Analyst & Visualization I create actionable dashboards and visualizations using Power BI, Tableau, and Databricks SQL. My focus is on driving KPI reporting and business intelligence to support strategic decision-making. ➜ Snowflake I leverage Snowflake's capabilities to build efficient data warehousing solutions, optimizing data storage and retrieval for enhanced performance and scalability. ➜ Python My proficiency in Python allows me to develop complex data processing scripts and machine learning models, ensuring robust and efficient data handling. ➜ NLP (Natural Language Processing) I apply NLP techniques to extract meaningful insights from unstructured data, enabling advanced text analytics and improved decision-making processes. ➜ GCP (Google Cloud Platform) I utilize GCP's powerful tools to design and deploy scalable cloud solutions, ensuring high availability and performance for your data-driven applications. ➜ Data Warehouses I design and manage data warehouses that provide a centralized repository for your data, facilitating efficient data analysis and reporting. ✔️ 𝑲𝒆𝒚 𝑻𝒐𝒐𝒍𝒔 & 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 ▪ Databricks & Big Data: Databricks, Delta Lake, Apache Spark, PySpark, Unity Catalog, Kafka, Hadoop, Real-time Streaming ▪ Machine Learning: MLflow, TensorFlow, PyTorch, scikit-learn, Feature Store, Predictive Analytics, NLP ▪ Cloud Platforms: AWS, Azure, GCP, Kubernetes, Docker, CI/CD ▪ Analytics & BI: Power BI, Tableau, Databricks SQL, KPI Dashboards, Data Strategy ▪ Data Engineering: ETL Pipelines, Data Lakes, Data Warehousing, Data Migration, Performance Optimization ✔️ 𝑾𝒉𝒚 𝑪𝒉𝒐𝒐𝒔𝒆 𝑴𝒆 I combine deep technical expertise with practical business understanding, delivering scalable, cost-efficient, and AI-ready data solutions. My goal is to turn your data into a strategic asset that powers smarter decisions and measurable growth. Let’s collaborate to build your next-generation analytics platform and unlock the full potential of your data. Check my portfolio for architecture samples, dashboards, and case studies. Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Azure Databricks, GCP Analytics, ETL Developer, Data Analytics, Delta Lake Expert, Machine Learning Engineer, Python, Database Architecture, Data Processing, ETL, Big Data, Database Design, Data Engineering, Data Analytics & Visualization Software, Data Visualization, Deep Learning Modeling, Data Warehousing & ETL Software, Snowflake, Amazon Web Services, ETL Pipeline, Machine Learning, Deep Learning, Data Science, Data Analysis, Cloud Engineering, Artificial Intelligence, Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP

🔥 Expert Academic Writer | Data Analyst |Top rated Profile | Earned 100K plus ✅ Versatile Writing Expertise – Crafting compelling content across Marketing, Public Administration, Management, HR, Business, Accounting & Finance, and Mass Communication. 📊 SPSS/R studio Data Analysis – Need help with survey questionnaires, statistical analysis, or data interpretation? I’ve got you covered! 🔥 Research Support & Data Analyst | Top-Rated | 100K+ Earned 📊 Quantitative & Qualitative Data Analysis (SPSS / RStudio) Support with survey design, statistical analysis, data interpretation, and results reporting for academic and professional research projects. 📝 Academic Editing & Proofreading Careful editing and proofreading to improve clarity, structure, and academic tone while preserving the author’s original work and intent. 📚 Subject-Area Research Experience Research support across Marketing, Public Administration, Management, HR, Business, Accounting & Finance, and Mass Communication. 📖 Ethical & Professional Research Support I provide data analysis, editing, formatting, and research assistance only. I do not write academic work on behalf of students. ⏳ Reliable & Deadline-Focused Clear communication, consistent quality, and on-time delivery on every project. 📩 Working with data or a research manuscript? Let’s collaborate to strengthen your analysis and presentation—professionally and ethically.

I help Non-profits, Healthcare programs, and Social Impact teams turn complex data into clear, actionable insights. Whether you need to track community impact, monitor workforce trends, or optimize program outcomes, I transform your raw data into dashboards that tell the story your stakeholders need to see. Why partner with me? • Top-Tier Design: My work has been recognized thrice as Tableau’s "Viz of the Day," ensuring your dashboards are not just functional, but visually compelling and professional. • Full-Stack Capability: From data modeling in Snowflake/SQL to the final pixel in Tableau, I handle the full pipeline. • Mission-Driven: I specialize in the social sector. I understand the nuances of donor reporting, policy formation, and impact tracking. What clients say: "I highly recommend Samuel... He made data very accessible for a diverse audience... He readily understood what I was looking for and helped me to even increase our vision for what was possible." — Contra Costa County/Community Strengths How I can help you: I support clients through the entire analytics journey, including: • Dashboard Development: Building and optimizing high-performance Tableau dashboards. • Data Engineering: Pulling data and modeling tables in modern warehouses (Snowflake, BigQuery) using SQL and dbt. • Embedded Analytics: Integrating Tableau into public websites (for awareness/policy) or internal apps like Salesforce. • Governance & Admin: Managing Tableau Server/Online (permissions, groups, row-level security, refresh schedules). • User Experience: Creating documentation (with GIFs/videos!) so your team actually knows how to use the tools I build. My Toolkit: • Visualization: Tableau (Desktop Specialist, Certified Designer, Site Admin), Looker Studio, and PowerBI • Data: SQL, dbt, Snowflake, Google BigQuery, MS SQL Server. • Certifications: Tableau Desktop Specialist, Google Business Intelligence Professional. Working with me means partnering with someone who cares about delivering insights that make a difference. I set up dedicated communication channels (like Slack) to ensure our collaboration is seamless, responsive, and transparent. Ready to visualize your impact? Click the green "Invite" or "Hire" button to start a conversation. Let's schedule a brief chat to see if we are a good fit. B, Samuel

I am a mechanical engineering student with practical experience in internships and project work. I have developed proficiency in drawing and modeling software(CAD), and have extensive experience in 3D printing, including printer assembly and print code debugging. Furthermore, I have experience in product design. During university, I held a part-time role managing the official social media accounts of the student union. These opportunities allowed me to develop expertise in social media marketing, content creation, and community engagement. My native language is Chinese, and due to my previous experiences studying in the UK and Sweden, I am fluent in English. Currently, I am also learning Swedish to further broaden my language skills.

I help organizations transform complex data into actionable insights that drive growth, improve decision making, and create measurable business value. With a PhD in econometrics, statistics, and causal inference and more than a decade of quantitative experience, I specialize in data science, predictive modeling, survey research, marketing analytics, business intelligence, experimentation, and advanced statistical analysis. My experience spans e-commerce, iGaming, insurance, banking, non-profit, automotive, telecom, retail, healthcare, engineering, and research sectors. I have delivered projects ranging from forecasting, predictive modeling, customer analytics, and large-scale survey research to marketing measurement, attribution, and end-to-end analytics platforms. I have extensive experience working with survey and observational data, including questionnaire design support, survey data cleaning and validation, scale and index construction, missing data handling, exploratory analysis, statistical modeling, and results visualization. I have analyzed customer, employee, stakeholder, healthcare, and research survey data using techniques such as logistic regression, count models, multilevel models, Bayesian methods, and causal inference approaches, translating complex findings into actionable recommendations. I have extensive experience building data-driven solutions using Python and SQL, including data analysis, machine learning, forecasting, statistical modeling, Bayesian analysis, survey analytics, customer segmentation, and decision-support systems. My expertise includes Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality measurement, A/B testing, geo experiments, brand lift studies, causal inference, and Bayesian methods. Experienced in developing Bayesian MMMs using PyMC-Marketing and Google Meridian, I help organizations understand the true drivers of business performance by quantifying channel contribution, adstock and saturation effects, ROI, and budget optimization opportunities. I translate complex analytical findings into practical recommendations that stakeholders can confidently act upon. I have worked extensively with data from Google Ads, Meta, TikTok, LinkedIn, CRM systems, call-tracking platforms, survey platforms, web analytics tools, customer databases, and cloud data warehouses. My technical background includes HubSpot, Datacor, BigQuery, GA4, Snowflake, and custom internal data sources, with a strong focus on data integration, validation, ETL processes, and scalable analytics workflows. Beyond analysis and modeling, I develop dashboards, visualizations, and decision-support applications using Streamlit, Looker, Plotly, and business intelligence platforms. I am passionate about making data accessible and useful, whether through executive dashboards, interactive analytics applications, or clear communication of complex statistical results. I also have extensive experience teaching, mentoring, and collaborating with technical and non-technical stakeholders. As a former university professor, I designed and taught graduate-level courses in statistics, econometrics, quantitative methods, and research design. Whether supporting business leaders, training analysts, or working with cross-functional teams, I focus on delivering solutions that combine analytical rigor with practical business impact. Whether the goal is building predictive models, improving reporting infrastructure, analyzing survey data, conducting statistical research, optimizing marketing investments, measuring incrementality, forecasting business outcomes, or developing advanced analytical solutions, I bring a rigorous quantitative approach and a proven track record of turning data into decisions.

I am a Software Engineer with expertise in SQL development, software testing, automation, and business intelligence (BI). Over the course of my career, I have developed strong technical skills in database management, QA, automated testing, and data-driven application development. Core Technical Skills: 1. Programming & Databases: SQL, T-SQL, PL/SQL 2. Business Intelligence: Power BI, Tableau, SSRS 3. Software Testing: Manual Testing, Automation Testing (Selenium, JUnit, TestNG) 4. Data Processing: ETL, Data Warehousing 5. Software Development Lifecycle (SDLC): Agile, Waterfall, QA Processes 6. Version Control & Collaboration: Git, Jira, Postman, Jenkins 7. Other Skills: Debugging, Problem-Solving, Documentation Quality Assurance (QA): 1. Designed and executed manual test cases and test scripts to ensure system reliability and user satisfaction. 2. Implemented automation testing using Selenium, JUnit, and TestNG to accelerate testing cycles and reduce human errors. 3. Conducted regression and integration testing to maintain software stability after updates. Business Intelligence (BI): 1. Created ETL pipelines to integrate data from multiple sources into BI platforms. 2. Delivered interactive BI dashboards (Power BI/Tableau) to visualize KPIs and business metrics. 3. Supported business teams with ad hoc SQL queries and reporting solutions. Automation Experience in Testing: 1. Developed and executed automated test scripts for functional and regression testing. 2. Integrated automated tests into CI/CD pipelines using Jenkins. 3. Improved test coverage and reduced testing time by automating repetitive test cases. Key Strengths: 1. Strong foundation in software engineering and database management 2. Hands-on experience in QA, automation, and testing frameworks 3. Ability to translate business requirements into technical solutions 4. Focus on quality, performance, and scalability 5. Excellent teamwork, communication, and problem-solving skills Tools & Technologies: 1. Testing & QA Tools: Selenium, JUnit, TestNG, Postman, Jira, Jenkins 2. Databases: SQL, T-SQL, PL/SQL 3. Business Intelligence & Reporting: Power BI, Tableau, SSRS 4. Version Control & Collaboration: Git 5. Other: ETL, Data Warehousing, Debugging, Documentation