Hire the Best Network Analysts
in Armenia

Greetings! I am an enthusiastic and detail-oriented individual with a passion for data analytics, eager to kickstart my career on Upwork. As a beginner in the field, I bring a fresh perspective, coupled with a strong foundation in key data analysis tools and methodologies. Key Skills: Data Analysis Tools: Proficient in Excel for data cleaning, manipulation, and analysis. Visualization: Skilled in creating meaningful visualizations using tools like Tableau for clear data presentation. Problem Solving: Adept at identifying patterns, trends, and outliers to derive actionable insights. Statistical Foundations: Basic understanding of statistical concepts and methodologies. Why Choose Me: Quick Learner: I am committed to expanding my skill set and staying updated on the latest trends in data analytics. Detail-Oriented: My meticulous nature ensures accurate data handling and analysis. Effective Communication: I believe in transparent communication to ensure project requirements are met efficiently. Collaborative Mindset: I am open to feedback and collaboration, aiming for a collective success. Projects I'm Excited About: I am eager to take on projects that involve data cleaning, exploratory data analysis, and visualization. Whether it's helping businesses understand their data or solving specific data-related challenges, I am ready to contribute my skills and grow alongside the project requirements. Education: "Business Intelligence and Data Analytics" with certificate of excellence Online 2023 June - 2023 November ( 5 months ) Education Details: The course on Business Intelligence and Data Analytics is a comprehensive program designed to impart essential skills and knowledge for leveraging data to make informed business decisions. The course covers a wide array of topics, starting from the fundamentals of data analysis to advanced techniques in business intelligence, statistics, SQL, Excel, Power BI and Python. It also incorporates hands-on learning experiences, ensuring participants gain practical skills applicable in real-world scenarios. Let's Connect: I am excited about the prospect of collaborating on data analytics projects. If you're looking for a dedicated and ambitious beginner in data analytics, let's connect! Feel free to message me, and we can discuss how I can contribute to the success of your project. Thank you for considering me for your data analytics needs. I look forward to the opportunity to work with you!

I am a professional football/soccer data collection analyst with extensive experience in the sport, and this is my primary area of professional expertise. I completed a two-month intensive training program covering football rules, terminology, and data collection methodologies, and successfully passed the final assessment. I am currently in my third season working with Opta, where I am responsible for live and post-match data collection and tagging. In addition, I am a Senior Optical Network Design Engineer at Ucom, the largest telecom company in Armenia, with over 15 years of experience in optical network planning and design. In this role, I handle advanced network design and work with tools such as Excel, Word, BCRM, and other optical network planning software. I am a punctual, well-organized, responsible, attentive, and fast-learning professional.

I am a Data Scientist and Machine Learning Engineer with a strong academic background in mathematics and physics, and over four years of hands-on experience in R&D projects. My expertise spans the full data lifecycle—from collection and cleaning to in-depth analysis and model deployment—ensuring comprehensive, reliable, and scalable solutions. Statistical & Deep Learning: Proficient in designing and implementing complex ML models using Python frameworks such as PyTorch, TensorFlow, and scikit-learn. AI & Automation: Developed AI agents, bot systems, and Retrieval-Augmented Generation (RAG) solutions to enhance decision-making processes and automate repetitive tasks. Signal Processing: Applied fundamental signal processing techniques to extract actionable insights from time-series and sensor data. Data Engineering & DevOps: Experienced with Docker, Git, and AWS for containerization, version control, and cloud deployment. Skilled in managing SQL and NoSQL databases. Programming Proficiency: Strong grasp of multithreading, multiprocessing, asynchronous programming, object-oriented programming (OOP), and algorithmic problem-solving. I thrive on tackling challenging problems and translating complex data into actionable insights. If you’re looking for a dedicated professional who can build innovative, data-driven solutions from the ground up, let’s connect and discuss how I can help bring your project to life.

Professional hard worker with more than 5 years of experience in the testing which includes Web and Mobile applications testing. Strong team player with the ability to work productively in a team as well as individually. Experienced in: -Performing functional, regression, smoke, compatibility, user acceptance tests -Analyzing project documentation: Business Requirement Documents, User Stories -Developing testing documents: Test Plan, Test Cases, Test Suites, Check-lists -Performing cross-browser testing on both Windows and Mac OS X platforms -Logging, monitoring and managing defects using bug tracking and test management system JIRA, Trello, Bitrix24, DevAzure -Rest API testing, request-response validation using Postman -Participating in daily scrum meetings, reporting progress, weekly sprint planning -Suggesting changes for Functional requirements and User guides -Creating checklists, high level, and low-level test cases and executing them -Created bug reports and managed bugs lifecycle -Performing User Interface, Integration, Regression, Exploratory, AdHoc, and other types of testing - -- Used JMeter to do Stress and Load testing

I help businesses turn messy data into clear reports and dashboards. If you have messy Excel or CSV files, data that needs cleaning or automation, reports that take too much time manually I can help you. What I do best: Clean and organize Excel / CSV data, Automate reports with Python, Create clear dashboards (Excel / Tableau). Analyze data and explain results in simple language. I work with Python, SQL, Excel, and Tableau daily. I have a PhD and strong experience working with complex data, so I am very careful with details and accuracy. Even though my Upwork profile is new, I am reliable, responsive, and focused on delivering exactly what you need. Message me and tell me about your data problem — I will suggest a clear solution.

I help engineering teams and technical founders make the right system decisions before they become expensive — scoping what to build, de-risking architecture before irreversible choices are made, and owning delivery through to scale. My background spans cloud architecture, solution architecture, and database systems across AWS and Azure. The combination matters: most production failures I have seen trace back not to bad code, but to structural decisions made early in the schema, the system boundaries, or the deployment model — that compounded quietly until they could not be undone. I am based in Armenia and work async-first with clients across the US, Europe, and Australia. Architecture work — system design, technical reviews, decision documentation, governance frameworks — does not require timezone overlap. My clients do not experience geographic friction. 🔹 𝐓𝐡𝐫𝐞𝐞 𝐫𝐞𝐜𝐞𝐧𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐭𝐡𝐚𝐭 𝐜𝐚𝐩𝐭𝐮𝐫𝐞 𝐡𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤: 𝐆𝐃𝐂 𝐌𝐞𝐝𝐢𝐚 (𝐈𝐫𝐞𝐥𝐚𝐧𝐝) — built an LLM-assisted database audit engine running across 3 MySQL clusters and 15 production nodes. 13 independent checkers feed findings to the LLM, which grades each as Critical / Major / Minor / Trivial and writes a short, grounded explanation. Runs hands-off 365 times a year. 𝐇𝐑𝐒 𝐆𝐫𝐨𝐮𝐩 (𝐂𝐨𝐥𝐨𝐠𝐧𝐞, 𝐆𝐞𝐫𝐦𝐚𝐧𝐲) — designed and built financial data pipelines on AWS that bridge MS Navision (ERP) and SAP through a single canonical model. Safe to replay, with scheduled reconciliation. 𝐆𝐥𝐚𝐬𝐬𝐰𝐚𝐥𝐥 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 (𝐔𝐊) — Cloud Engineer on the Content Disarm and Reconstruction platform now trusted by NATO and U.S. and U.K. national security agencies. Helped adapt the platform for AWS EKS, Azure AKS, and K3s, and built the file ingress orchestration plugin handling terabytes of potentially infected files. 🧭 𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤 I don't approach projects as feature delivery. I approach them as temporary or ongoing technical ownership — short engagements that clarify direction, longer ones that carry the system through to scale. The shape is the same in both: • Reduce MVP scope while keeping the core value loop intact • Define cloud architecture and system constraints before implementation begins • Make decisions explicit instead of accumulating quiet assumptions • Separate short-term delivery from long-term structural risk • Hand off to in-house engineers cleanly when the moment is right Some engagements take two weeks. Some turn into multi-year work. The goal in both is the same — systems that don't need heroics to keep running. 🎯 𝐖𝐡𝐞𝐫𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐮𝐬𝐮𝐚𝐥𝐥𝐲 𝐠𝐞𝐭 𝐬𝐭𝐮𝐜𝐤 In early- and growth-stage systems, the biggest problems are rarely about tooling or raw engineering skill. They are decision gaps: • Feature lists that grow faster than clarity • AI is treated as a black box instead of a constrained system • Developers hired before the success criteria are defined • Architectural decisions deferred until they're expensive to reverse • "We'll fix it later" choices that quietly become permanent That's the layer I focus on stabilizing first — so execution stays fast without becoming brittle. ⛁ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 & 𝐝𝐢𝐚𝐠𝐧𝐨𝐬𝐭𝐢𝐜𝐬 Production databases are where architectural decisions surface most visibly — slow queries, bloated indexes, configuration drift, schema choices that worked at 10K rows and break at 10M. I have extensive hands-on experience with PostgreSQL, MySQL, and MariaDB in high-load production environments. For teams that need a fast, structured assessment: I offer a fixed-price SQL database audit via my Project Catalog — a prioritized diagnostic report delivered in 1–2 days, ranked by business impact. 🧱 𝐒𝐭𝐚𝐜𝐤 • Databases — PostgreSQL, MySQL, MariaDB, OpenSearch, Elasticsearch, DynamoDB • Cloud — AWS, Azure, Kubernetes, Docker, serverless • Security — IAM, encryption, access boundaries, secure data flows • DevOps — CI/CD, GitHub actions, CloudFormation, observability • AI-adjacent — guardrails, confidence gating, deterministic vs. generative boundaries Technology serves decisions, not the other way around. 📅 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐟𝐨𝐫𝐦𝐚𝐭𝐬 • Long-term architecture and delivery ownership • Fractional CTO or technical advisor • Short-term advisory (1–4 weeks) • Fixed-price SQL database audit (Project Catalog — from $750) Most successful collaborations start small and grow naturally once alignment is in place. 📨 𝐋𝐞𝐭'𝐬 𝐭𝐚𝐥𝐤 If you are unsure what to build, what to cut, or how to de-risk a critical phase — or if your database is showing signs of trouble — a short conversation usually makes sense. From there, we decide together on the right shape of engagement.