Hi, I’m Marcus. A data professional specialized in building reliable analytics systems and decision-grade datasets. I help companies structure data foundations that actually support reporting, forecasting, and business decisions. My work focuses on data modeling, SQL logic, metric definitions, and transformation layers; the part of BI that makes dashboards correct, not just visual. I work across: SQL & Data Modeling: fact tables, dimensions, KPI logic, performance optimization Analytics Engineering: transforming raw data into clean business layers Business Intelligence: Power BI, Metabase, Apache Superset, Looker Studio Python: ETL, automation, data validation, pipeline scripting Data Quality & Governance: consistency checks, metric validation, reporting reliability I’ve worked with revenue analytics, pricing logic, operational reporting, growth metrics, and large production datasets; building analytics foundations that scale and stay accurate over time. If your problem isn’t “a chart” but structure, trust, or correctness of data, that’s where I add value. Let’s connect.

I help startups and growing businesses turn ideas into scalable, reliable software that delivers measurable business value. With 14+ years of experience, I've built SaaS platforms, AI-powered applications, enterprise systems, and MVPs for Fortune 500 companies and ambitious startups using React, JavaScript, TypeScript, Node.js, Python, Rust, C#, Kotlin, Java, Swift, Go, AWS, and other modern technologies. My approach goes beyond coding. I take time to understand your business goals, challenge assumptions when needed, and recommend the most effective technical solution before writing a single line of code. Whether you're building a new product, modernizing an existing platform, integrating AI, or scaling your infrastructure, my focus is the same: deliver maintainable software on time, within budget, and ready for growth. I work across such domains as: - Web development - AI integration & implementation - Desktop App Development - Mobile Development - DevO & Architecture - ERP/M Software - Data extraction / ETL Pipeline - Project Management Why work with me: - 170+rojects delivered for 100+ clients across the USA, Canada, the UK, Europe, Australia, Israel, and the Middle East. - Top rated Plus with 100% job success - $90k earned on Upwork - Helped multiple startups launch and grow their products - From architecture and UX to deployment, I can build complex software products from scratch - Comfortable communication Let's discuss your project and find the smartest solution for your business.

20+ years of professional development experience. Industry experience includes: Finance, Broadcast TV, Distribution & Transportation, Manufacturing, Oil Services, Non-Profit, Retail. ▬ Microsoft Full Stack Development ▬ Data Analysis, Data Modeling, Data Warehouse, Data Mart ▬ Data Integration, ETL, Data Quality ▬ Database Administration/Development ▬ SQL Server. SSIS, SSAS, SSRS, T-SQL ▬ PostgreSQL, MySQL ▬ Business Intelligence Solutions ▬ Software Development (.NET, .NET Core, MVC, C#, VB.NET) ▬ SAP Crystal Reports, Power BI ▬ Power Apps, SharePoint, Power Automate (Flow), Logic Apps

I am a Microsoft Certified Senior Database Administrator with 13+ years of hands-on experience designing, deploying, and optimizing Microsoft SQL Server (2008–2022, all editions) in mission-critical enterprise environments. I specialize in: - End-to-end SQL Server architecture & environment setup - High availability & disaster recovery solutions (Always On Availability Groups, Failover Clustering, Replication) - Advanced database performance tuning for high-volume and high-concurrency systems - Large-scale data platforms handling millions to billions of rows - Production troubleshooting, capacity planning, and optimization I have delivered reliable, high-performance database solutions across banking, financial services, and enterprise IT, working in senior and advisory roles where uptime, data integrity, and performance are non-negotiable. My approach is practical, performance-driven, and business-focused — ensuring databases are not only stable, but optimized for growth, scalability, and long-term success.

With 15+ years as a Data Engineer and M.S. in Math, my experience includes the development of ETL/Data Warehouse and Analytics dashboards for eCommerce, Marketing, and Banking. 𝙎𝙪𝙘𝙘𝙚𝙨𝙨 𝙎𝙩𝙤𝙧𝙞𝙚𝙨 1. Payments forecast with MAPE < 2%: Banks need to know their monthly cash inflow to plan new credits and attract investments. I have compiled historical payments from existing clients, organized by calendar month, loan date, and credit product. Used this info to iteratively forecast new payments from new credits. 2. Data Quality from 24% to 99%: fixed core table with account balances in a banking DWH. Analytics accounts in accounting equal the sum of the basic accounts. I made a list of clients with analytics and basic accounts that mismatch. Picked one basic account with the most zero balances across all clients. Statistically, it had the most chances of being wrong. Discussed it with the Admin of the source system, and after several find-and-fix iterations, he confessed there is a filter that does not export all the data into the DWH, enforced by security guys. 3. Credit scoring models development, reducing scoring costs by half: A Fintech company was looking for software to build an internal credit score. They were considering SAS, SPSS, and other software. I proposed to them to build a scoring model using the free R-project, and I was hired immediately. Have joined applications and credit histories data and built scoring models using logistic regression. After the AB test with underwriters, the model proved its efficiency and was deployed in production. We stopped paying for credit scores from 3d party provider reducing scoring costs by 2 times. 4. I was optimizing the legal collection process for a bank. The overall collection process starts with contacting the debtor and discussing the payment plan. If the debtor is unavailable or refuses to pay, the legal collection process starts. Lawyers fill in applications for the Magistrates’ court, paying some court fees. The court may decline the application if it reaches the court too late due to the statute of limitations or take the debtor’s side. Even a won case does not guarantee the debtor will pay. He might decide to file for bankruptcy. Given the high number of debts and fees involved in the court applications, legal collection is a costly process. Multiple outcomes make this process manually unpredictable. I was tasked with building a collection scoring model to filter those debts that are worth taking legal actions. I have pulled information on 100K debts that went through the legal collection process past 3 years. My target variable was the sum of payments after legal actions minus legal fees. I have tried many predictor variables, and the most informative were: • debt amount - the higher the debt, the higher the payment amount is expected • days past due - the higher the DPD, the higher the chances of hitting the statute of limitations • debotr’s region - courts' practices vary across the country, with some courts taking debtors’ side more often Once the model has been built, we applied it to the current debts in the legal process and found out that only 30% of debts are worth taking to court. The rest 70% could be sold to collection agencies. The legal collection scoring model helped to understand: • the factors that drive collection profits • automate manual decisions • increase collection profits • clear debts balances, selling them to professional collection agencies 𝙏𝙤𝙤𝙡𝙗𝙤𝙭 • ETL/Data Warehouse: SQL, dbt, Python, Redshift, BigQuery, SAS • Data sources: Shopify, GA4, Google Ads, Meta Ads • Analytics dashboards: Looker Studio, Looker, Power BI, Excel, Google Sheets • Finance math: ROAS, Gross margin, LTV, Cash Recovery • Data Science and ML: Credit Scoring and payments forecasting • Cloud tech: AWS, GCP, Docker • Technical writing: Business Proposal, Product Description, User's Guide, Installation Guide • Project management: Agile / Scrum Let's connect to discuss the details.

I'm an Expert Software developer with 11+ years of experience developing desktop software, websites, and ERPs in ASP.NET, VB.NET, C#, VB6, and ASP.net MVC technologies. During my career, I helped many small, medium, and enterprise organizations to develop ERPs, Software that helps them to make business more productive. Previously I have developed applications like Inventory Management, ERP, CRM, Insurance Management, Client Management Application, POS Applications with Offline & Online, School Management systems, Library Management, Payroll Software, Retail Management, Retail POS systems, Task Management systems, Travel Agent Management Software, Farming ERP, Retail ERP, Lead Management, Insurance Claim Management, Cloud Storage Applications, and many more custom software. * Technical Proficiency: - .Net, including C#, VB.NET, ASP.NET (MVC, Web Forms, and Winforms), Web API 2, LINQ,.Net Windows Forms, WPF. - Anything SQL Server and T-SQL, including writing stored procedures, triggers, functions, jobs, indexes, full-text search, query optimization, database design, setup, backup, import, export, administration, and maintenance. - Other databases like Oracle, MySQL PostgreSQL, SQLite, MS Access - Angular, ReactJS, KnockoutJS, KendoUI, JavaScript, jQuery, Bootstrap, Ajax - CSS, HTML5, Responsive Design - Regular Expressions in general and its implementation in .Net or JavaScript - VBA, VB6 - Crystal Reports, Active Reports - Source controls, git, GitHub, BitBucket, TFS, SVN (Subversion), Source Safe - Third-party Controls: DevExpress, Rad Controls, DotnetBar Controls & Metro Framework Experience in various payment gateway integrations like Stripe, Stripe SCA, Authorize.Net, PP, and First Data. I have experience in repositories like GitHub and BitBucket. As a Project management tool, I have used Jira, Asana, and Basecamp. Further, I have experience working with TFS & VSS. Thank you for taking the time to review my profile

Hi, I am Microsoft Certified SQL Server Database Administrator, Developer, Architect, and Consultant with 25+ years of experience with a variety of very complex highly transnational and Data Warehousing environments. An expert in solving the complex problems, optimizing servers, databases and procedures. Troubleshooting locks and deadlocks are my everyday tasks, and I solve them in a very short time. I can set up the server to give the best performers, and to find all the things that are not well set and are a risk for normal operation of the system I maintain more than 100 servers and more than 500 databases. I have great experience working with databases larger than 10TB, and with tables with more than 2 billion rows. I have extensive experience with all versions of SQL Server, from 2000 to 2022, and with administrations and migrations to higher versions. My challenge is to solve problems that others cannot solve, to optimize commands that others cannot optimize. I can work max 2h per day. I think it's enough to show my magic. I can work only Remote. I am a hard worker, productive and worthy of your attention. If you are interested in my services, I will be glad to help you. If needed I will adjust my working hours to your time zone. I am in a time zone (UTC+01:00). "We thought we were the experts until watched Alex adjust, update, refine and improve system performance. He turned a our For into a Ferrari" - Client, Mart 2019 Kinds Regards, Aleksandar

I help companies turn scattered data into analytics systems that teams can actually rely on — from modern dashboards and reporting layers to scalable data infrastructure and operational analytics. Over the past 5+ years, I’ve worked across SaaS, E-commerce, Finance, and Operations, helping companies build: • self-service analytics • executive reporting • ETL pipelines • anomaly detection systems • data warehouses • and scalable BI environments My focus is not just visualization — it’s building analytics ecosystems that make data easier to trust, easier to maintain, and genuinely useful for decision-making. ❤️ The part I care about most? Connecting clean infrastructure with actionable reporting. A dashboard is only useful when the underlying data model, business logic, and pipelines are reliable. What I usually help with: • Data analytics & business intelligence • Tableau, Power BI, Looker, Metabase, Microsoft Fabric • Data warehouse design & analytics architecture • ETL/ELT pipelines and reporting automation • KPI systems and operational reporting • Product, finance, and revenue analytics • Self-service analytics environments • Data quality validation and anomaly detection • Dashboard redesigns and reporting optimization Tools & Technologies: • SQL, Python • Snowflake, BigQuery, PostgreSQL • dbt, Airflow, Fivetran • Tableau, Power BI, Looker Studio • APIs, cloud data platforms, automation workflows A few things I’m proud of: • Built analytics systems used daily by 5000+ users • Worked with datasets from thousands to billions of rows • Automated reporting workflows saving teams 20+ hours weekly • Designed reporting layers and data platforms for fast-growing SaaS and E-commerce companies • Led BI migrations and large reporting restructuring projects I enjoy projects where analytics needs to scale properly — whether that means redesigning reporting architecture, cleaning up unreliable dashboards, improving data quality, or building a modern BI stack from scratch. Good analytics should not just “look nice.” It should help teams move faster, reduce operational chaos, and make decisions with confidence. Data never lies.

I build AI-powered business intelligence, reporting automation, machine learning, and deployable data systems that help businesses reduce manual work, improve decision-making, and transform raw data into practical, production-ready solutions. I’m a Certified Data Scientist with hands-on experience across SQL, Python, Power BI, Machine Learning, Deep Learning, NLP, LLM-powered systems, and Streamlit application development. My expertise lies in building complete end-to-end systems — from data extraction and preprocessing to predictive modeling, automated reporting, AI-assisted analytics, interactive dashboards, and deployable business applications. Unlike freelancers who only deliver notebooks or static reports, I build real working systems businesses can use daily — including AI-powered analytics tools, SQL reporting systems, automated workflows, Streamlit applications, machine learning prediction systems, and executive-level Power BI dashboards. I specialize in combining AI, machine learning, automation, analytics, and business intelligence into scalable systems for reporting, operations monitoring, prediction, workflow automation, customer intelligence, and decision support. 🔹 Core Expertise ✔ SQL data analysis & automated reporting systems ✔ Power BI dashboards (KPIs, sales, operations, revenue analytics) ✔ Python automation & workflow optimization ✔ AI & LLM-powered business intelligence systems ✔ Machine Learning & predictive analytics solutions ✔ Time Series Forecasting & business prediction models ✔ Regression, Classification, XGBoost, SVM & ensemble models ✔ Deep Learning & CNN image classification systems ✔ NLP, sentiment analysis & AI-powered text intelligence ✔ Streamlit apps (AI tools, prediction systems, dashboards) ✔ EDA, preprocessing, feature engineering & ML pipelines ✔ End-to-end deployable AI/ML solutions 🔹 Featured Projects • LLM Powered AI Data Analyst System • Enterprise Knowledge AI System • Automated E-commerce BI Dashboard & Reporting System • HR Attendance & Salary Automation System (SQL + Python + Power BI) • ITSM Service Analytics System – Client Project (A+ Rated Delivery) • Customer Sentiment Analysis System (NLP + ML + Dashboard) • Rice Leaf Disease Classifier (CNN + Streamlit App) • Liver Disease Prediction System • Car Price Prediction System • Skin Disorder Prediction System 🔹 Why Clients Work With Me ✔ Business-focused, production-ready solutions ✔ Clean, scalable, and well-structured code ✔ Strong communication & professional delivery ✔ End-to-end implementation — from raw data to deployment ✔ Ability to combine AI, ML, dashboards, automation, and analytics into usable business systems If you need someone who can combine AI, machine learning, automation, SQL, and business intelligence into practical systems your business can actually use — I’d be happy to help.

Azure Certified Architect, AI Innovator, and Cloud Infrastructure Expert with over two decades of experience designing, building, and scaling B2B / B2C / SaaS / IoT / Open-Source / Enterprise and Startup solutions. I bridge the gap between business vision and technical execution, leading teams and architectures from concept to production with proven results. Whether you need to migrate to Azure, integrate AI, or modernize your infrastructure, I bring hands-on expertise across architecture, DevOps, and AI engineering — with a strategic CTO mindset. 💬 Invite me to your next project for a FREE 15-minute consultation.