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If you need healthcare data pipelines, analytics systems, AI-powered workflows, or biostatistical analysis, I can help you develop a reliable solution tailored to your project. I combine healthcare data engineering and biostatistics with clinical research experience demonstrated by 62 medical articles indexed in PubMed. I CAN HELP YOU WITH: Data Engineering & AI • Build and maintain production ETL/ELT pipelines • Develop and manage Apache Airflow and Google Cloud Composer workflows • Design BigQuery pipelines, SQL transformations, and analytics systems • Integrate EHR platforms, third-party APIs, and external data sources • Automate manual file transfers and system-to-system data movement • Extract structured clinical data from PDFs, scanned documents, and laboratory reports • Build controlled AI-agent workflows for healthcare data • Automate KPI dashboards and recurring reports • Develop machine-learning solutions for healthcare analytics Biostatistics & Clinical Research • Analyze clinical, observational, and survey data using Python or IBM SPSS • Prepare descriptive statistics and hypothesis tests • Perform linear and logistic regression analyses • Conduct survival analysis • Apply parametric methods, including t-tests, ANOVA, ANCOVA, MANOVA, and repeated-measures ANOVA • Apply nonparametric methods, including Mann–Whitney U, Kruskal–Wallis, Wilcoxon signed-rank, and Friedman tests • Interpret statistical findings in their clinical and scientific context • Create publication-ready tables, figures, and statistical summaries • Review statistical methods and results sections for manuscripts • Communicate findings clearly to clinicians, researchers, and nontechnical stakeholders Send me a brief description of your project. For statistical work, you may also share the research question, dataset structure, or a de-identified sample. I can provide a complimentary preliminary scope review and suggest practical solution options. If one of those approaches fits your needs, we can then discuss the implementation details. WHY WORK WITH ME? My background combines production data engineering with genuine clinical and research experience. Before moving into technology, I worked as a medical doctor and researcher who published 62 medical articles indexed in PubMed. This experience enables me to understand both the technical architecture and the real-world meaning of healthcare data. I know that a statistically correct result must also be clinically meaningful and that a technically functional system must be reliable, maintainable, and appropriate for its healthcare environment. I can work directly with medical terminology, research questions, clinical outcomes, and study documentation without requiring clients to translate the clinical context into purely technical language. Selected experience: • Built AI-assisted workflows that extract laboratory data from unstructured PDF reports and load structured results into BigQuery • Developed and maintained healthcare data pipelines integrating multiple EHR and external data sources • Optimized Google Cloud Composer workloads to improve reliability and control infrastructure costs • Developed machine-learning and anomaly-detection pipelines for IoT monitoring data • Conducted biostatistical analyses for clinical research and peer-reviewed publications Core technologies: Python, SQL, Apache Airflow, Google Cloud Composer, BigQuery, dbt, GCP, Docker, Pandas, NumPy, scikit-learn, XGBoost, LangChain, Agno, Kafka, REST APIs and IBM SPSS.

I build code-first Python data systems that turn messy, scattered, or large datasets into clean, reliable, and usable workflows. ⭐ I am a Top Rated freelancer with 100% Job Success, several thousand dollars earned, and hands-on experience across data engineering, ETL pipelines, API integrations, data processing, backend development, automation, databases, and AI-ready datasets. My work usually involves: 🔹 Collecting, cleaning, transforming, and structuring data from files, APIs, databases, and external sources 🔹 Building reliable Python pipelines for repeatable data processing, exports, reporting, and workflow automation 🔹 Designing database-backed workflows for storing, querying, organizing, and exporting structured data 🔹 Preparing structured datasets and knowledge bases for analytics, machine learning, NLP, or LLM/RAG systems 🔹 Creating custom backend tools, data workflows, and lightweight dashboards when the project needs more than a one-time script Recent projects included processing and structuring large volumes of data, cleaning and automating tens of thousands of data records, building data-driven systems, exporting datasets from databases, and developing AI-ready data workflows for real-world applications. I focus on clear communication, careful implementation, and practical systems that are easy to understand, maintain, and extend.

Looking for accurate financial reports, organized data, and meaningful business insights? I help businesses organize, analyze, and interpret financial and business data using Microsoft Excel and Python to deliver accurate reports, meaningful insights, and data-driven decision support. With more than 20 years of professional experience in accounting, budgeting, cost control, and financial reporting, I combine strong financial expertise with analytical thinking to solve business problems through data analysis, financial reporting, and practical business insights. Throughout my career, I have analyzed complex financial data, prepared management reports, monitored budgets, evaluated costs, and supported executive decision-making through reliable financial reporting. My portfolio includes professionally documented projects published on GitHub and Upwork, demonstrating interactive Excel dashboards, KPI reporting, financial analysis, and business intelligence using realistic business scenarios. My services include: ✔ Financial Data Analysis ✔ Microsoft Excel Dashboards ✔ Python Data Analysis (Pandas) ✔ Financial Reporting ✔ Data Cleaning & Organization ✔ Budget Analysis ✔ Cost Analysis ✔ Data Visualization Alongside my professional experience, I am completing my Bachelor's degree in Computer Science, where I continue to strengthen my skills in Python, Pandas, SQL, and data analytics through practical portfolio projects. I am committed to accuracy, clear communication, and delivering work that clients can trust. If you need reliable support for financial data analysis, reporting, or Excel-based solutions, I'd be happy to help. I look forward to discussing how I can support your project.

I help businesses clean, structure, analyze, and visualize their data using Excel, Power BI, SQL, and modern analytics tools. My background combines engineering problem-solving with hands-on data analytics training. I have 4+ years of professional experience in technical systems, troubleshooting, process optimization, and working with structured information in industrial environments. I am currently specializing in data analytics through a hands-on program covering SQL, BigQuery, DBT, ELT workflows, Looker Studio, Power BI, DAX, Python, Pandas, and machine learning fundamentals. I can help with: - Excel data cleaning and formatting - Data mapping and category standardization - Spreadsheet structuring - Power BI dashboards and KPI reports - Looker Studio reports - SQL queries and business analysis - CSV / Excel transformation - Dashboard-ready dataset preparation - Data validation and quality checks My strength is turning messy or unstructured data into a clean, usable format for reporting, analysis, or business decision-making. I focus on clear communication, organized deliverables, and practical solutions that are easy for clients to maintain after delivery.

I'm a tech & growth-oriented data professional with over 7 years of experience across the entire data lifecycle (ETL, ELT, LTL). I specialize in developing efficient data flows and effective data delivery systems to drive business value. Services Offered: ✅ Database Migration & Metadata Upgrading – Expert migration services for PostgreSQL, MySQL, NoSQL databases and more. ✅ Data Warehouse Architecture – Custom-designed, scalable data warehouse solutions tailored to your specific business requirements. ✅ ETL/ELT Development – Robust data pipeline implementation using Python, DBT, and Apache Spark. ✅ Experienced Databricks and MotherDuck solutions. ✅ Data Pipeline Architecture & Deployment – Streamlined or Batch workflow automation with Apache Airflow and Kubernetes. ✅ Application/Service Containerization – Seamless deployment and management using Docker and Kubernetes. ✅ Open Source System Management – Enterprise-level implementation of Apache Airflow, Spark, Trino, Flink, Kafka, Superset, Druid,ELK(Elasticsearch, Kibana, Logstash), Hadoop, Hdfs and Cassandra. ✅ Streaming Pipelines – High-performance data streaming solutions utilizing Kafka, Redis, Cassandra, MongoDB, and Flink with Java/Scala development. ✅ API Development – Production-ready Python APIs using FastAPI, Django, Flask, and distributed asynchronous services. ✅ Working capability any where on Cloud(AWS,GCP,Azure) or Special on-premises environment. ✅ Designing CI/CD solution's development environments. Terraform, Helm, Github Workflow, Gitlab-CI's. ✅ Implemented logging monitoring environments Grafana, Prometehus, Elasticsearch, Kibana, Logstash. Let's discuss how I can optimize your data infrastructure and unlock valuable insights for your business. Contact me today to start the conversation!

I’m a Python & SQL Data Analyst with hands-on experience building automation workflows, ETL pipelines, dashboards, and machine learning models. I focus on turning raw, messy data into clean, actionable insights that help businesses make faster and better decisions. I hold the IBM Data Science Professional Certificate and completed the 200+ hour MIUUL Data Science Bootcamp, where I worked end-to-end on real projects involving data cleaning, EDA, feature engineering, modeling, and reporting. I’ve delivered practical solutions such as CRM analytics (RFM, CLTV prediction, churn analysis), e-commerce and food industry data analysis, recommendation logic, and business intelligence dashboards (Power BI, Python/Plotly). What I can help you with: • Python data scripts, automation & ETL • SQL queries, reporting & database cleanup • Data cleaning, preprocessing & transformation • Dashboards (Power BI / Plotly) • Machine learning models (prediction, classification) • A/B testing, customer insights, KPI tracking I’m detail-oriented, fast to adapt, and focused on delivering clean, reliable results. Happy to help with both small tasks and end-to-end analytics projects.