Hire the Best Predictive Analytics Specialists
in Armenia

Most data and machine learning projects do not fail because the models are wrong. They fail because real decisions are built on systems that were never designed for production reality. Data distributions change. Assumptions stop holding. Feedback loops appear once decisions are automated. What looks correct during analysis can quietly become wrong when it starts affecting real users, money, or operations. My work focuses on that gap between analysis and real-world execution. I design and implement production decision systems, not demos, notebooks, or isolated models. These are systems where predictions directly drive actions such as approvals, rejections, prioritization, allocations, or automated workflows. In this context, correctness, transparency, and operational control matter more than theoretical performance. My background combines applied machine learning, data engineering, and direct ownership of real decision pipelines. I have worked on systems used in environments where mistakes are costly, including credit decisioning and automated trading. I approach every project assuming that data will be imperfect and conditions will change over time. Models are components of a system, not the system itself. I work system-first. That means clearly defining decision logic, data contracts, monitoring signals, and conditions for retraining or rollback. A system should surface degradation early, before it causes damage, not after. What I do not do is equally important. I do not sell AI magic, guaranteed outcomes, or opaque black-box solutions. I do not optimize offline metrics without considering how the system behaves once deployed. If a system cannot be monitored, understood, and controlled in production, I do not consider it complete. Clients usually reach out to me when decisions matter, scale is real, and failure is expensive. If you need a system that behaves predictably under pressure and you want to clearly understand both its capabilities and its limits, we are likely a good fit.

An experienced results driven data engineer with over 13 years IT experience across sectors and architecture domains. Extensive logistics and warehousing sector experience. Solution architecture including retail distribution, transportation, operational optimization, B2B SaaS, FMCG and ore refinement. Corporate to project data architecture, operating model & governance, master data management, metadata management, data modelling (conceptual/logical/physical), database design, data warehousing both relational and dimensional with analytics and business intelligence, data integration. Full lifecycle. Cloud: Azure, AWS. Backend: Python. Databases: MS SQL, Postgres, Clickhouse, Greenplum, CockroachDB, CosmosDB. Tools: Airflow, spark, pandas, numpy, databricks, Flask, Kafka, RabbitMQ, EventHub, Docker. Visualisation: Tableau, PowerBI, Plotly. ML: Catbost, lightGBM, XGBoost, pytorch, tensorflow (for NLP or CV), YOLO. And sklearn, of course. Math: graph algorithms for quality control, LSTM networks for predictive maintenance, integer programming for warehouse optimization.

Data Science and Machine Learning Expert for Hire Are you ready to unlock the full potential of your data? Let's collaborate and turn your data into powerful insights! Services I Offer: Data Analysis & Insights: Struggling to make sense of your data? I’ll conduct in-depth analysis to extract actionable insights that drive decision-making. Predictive Modeling & Machine Learning: Need to build robust models? I leverage advanced machine learning techniques to create predictive models tailored to your specific goals. Data Visualization: Want to tell a compelling story with your data? I create visually engaging and insightful dashboards using tools like R Shiny, ggplot2, and Power BI. Statistical Analysis: Looking for reliable statistical insights? I apply hypothesis testing, regression, and time series analysis to extract meaningful patterns and trends from your data. Clinical Data Science: Working in healthcare? With experience in clinical data science, I can help you uncover trends and improve patient outcomes using data-driven approaches. Teaching & Academic Research: Need expert help in research methods or economics? As a Teaching Associate at AUA, I can provide guidance in research methods, applied statistics, and microeconomics. Why Choose Me? Expertise: With a MicroMasters in Data Science from MIT, a Master’s in Economics, and experience as a Data Scientist, Machine Learning Engineer, and Clinical Data Analyst, I bring a wealth of knowledge and real-world experience to your project. Customized Solutions: I understand that every project is unique. I tailor my services to meet your specific needs and ensure the best results. Results-Driven: My focus is on delivering high-quality, impactful results that meet your project’s objectives. Timely Delivery: I know how important deadlines are, and I ensure that your project is completed on time, every time. Ready to take your data-driven project to the next level? Let’s connect and discuss how I can help you achieve your goals!