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I help teams ship with confidence — catching the bugs that matter before they reach production. With 9+ years in IT and 6+ years as QA (fintech, IoT, SaaS) and a background in technical support and project management, I bring both testing depth and cross-functional perspective. What I specialize in: 🔹 API & Backend Testing — test suite design in Postman/Newman, backend contract validation, DB checks via MySQL/DataGrip, request tracing with Fiddler/Charles 🔹 Log-Driven Debugging & RCA — root cause analysis using AWS CloudWatch, New Relic, Graylog; reducing time-to-fix and improving production signal quality 🔹 Test Strategy & Documentation — test plans, regression packs, and release checklists in Confluence, Qase, Allure TestOps that teams actually use 🔹 Multi-Platform Coverage — web, mobile (Android/iOS), hardware integrations, cross-browser testing via BrowserStack and Chrome DevTools What you get working with me: ✅ Shift-left mindset — I push API checks into CI early, cutting late-stage regressions ✅ Clear, structured defect reports developers can act on immediately ✅ Cross-functional communication — I work fluently with engineering, support, and business ✅ Technical writing background — I can own documentation and process, not just testing Tools: Postman · Newman · Jira · Confluence · Qase · Allure TestOps · Fiddler · Charles · AWS · New Relic · MySQL · DataGrip · GitLab · Git · BrowserStack · Chrome DevTools · VirtualBox Ready to help make your next release a confident one — let's connect.

Over the past 5 years, I have built data systems for businesses across the US, Europe, and UK that have become central to their daily operations. Backed by a summa cum laude Master's degree in Economics and Data Analysis, I bring rigorous analytical foundations to every system I build. ✦ 𝗔𝗶𝗿𝘁𝗮𝗯𝗹𝗲, 𝗚𝗼𝗼𝗴𝗹𝗲 𝗦𝗵𝗲𝗲𝘁𝘀, 𝗮𝗻𝗱 𝗘𝘅𝗰𝗲𝗹 solutions that make your life easier. From product lifecycle management system to nation-wide election monitoring infrastructure, I create reliable, user-friendly tools that your entire team can use confidently. ✦ 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 that eliminates manual work. From Google Apps Script and Zapier to Make and n8n, I connect your tools so data flows automatically, whether that's creating a Google Calendar event the moment an Airtable record is created, generating a branded PDF from a form submission, or syncing Shopify with your operations database. ✦ 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 with insights that make sense. I deliver insights that have tangible value, ranging from cost-benefit analyses that inform million-dollar decisions to verifying financial models and reviewing academic research methodology. ✦ 𝗗𝗮𝘁𝗮 𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 that tells your story. Transform boring numbers into compelling narratives that users actually understand and act upon, including professional presentations, social media posters and infographics published in business magazines. ✦ 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 that sticks. Over 500 delivered lectures and workshops to wide audiences, ranging from undergraduate students to mid-career professionals, prove I can not only analyze data but teach your team to do it themselves. PROJECT HIGHLIGHTS: ⟣ 𝘛𝘳𝘢𝘪𝘯𝘪𝘯𝘨 𝘖𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘴 𝘋𝘢𝘵𝘢𝘣𝘢𝘴𝘦 Replaced a manual Google Sheets workflow with a full Airtable base for a training organization in the UK. Automated Google Calendar event creation, trainer invitations, booking confirmations, certificate generation, and invoice tracking. Staff now manage everything through clean Interfaces without touching the underlying data. ⟣ 𝘗𝘳𝘰𝘥𝘶𝘤𝘵 𝘓𝘪𝘧𝘦𝘤𝘺𝘤𝘭𝘦 𝘔𝘢𝘯𝘢𝘨𝘦𝘮𝘦𝘯𝘵 𝘚𝘺𝘴𝘵𝘦𝘮 Contributed to an Airtable PLM system for a clothing brand in the US covering the entire journey from collection design through sample requests, factory reviews, spec adjustments, PO management, and shipment tracking. Over 30 linked tables with clean role-based Interfaces so team members never touch the backend. ⟣ 𝘌𝘭𝘦𝘤𝘵𝘪𝘰𝘯 𝘔𝘰𝘯𝘪𝘵𝘰𝘳𝘪𝘯𝘨 𝘚𝘺𝘴𝘵𝘦𝘮 𝘈𝘳𝘤𝘩𝘪𝘵𝘦𝘤𝘵𝘶𝘳𝘦 Designed and managed a comprehensive Google Sheets ecosystem for Georgia's largest election monitoring mission during the 2024 parliamentary elections. Created an integrated workflow from candidate registration through final deployment: a master registration file that dynamically split into recruiter-specific background check sheets, reassembled with updated statuses, tracked training attendance, distributed observers to polling stations, and handed off data to the election-day analysis team. ⟣ 𝘘𝘶𝘢𝘯𝘵𝘪𝘵𝘢𝘵𝘪𝘷𝘦 𝘙𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘢𝘯𝘥 𝘗𝘰𝘭𝘪𝘤𝘺 𝘈𝘯𝘢𝘭𝘺𝘴𝘪𝘴 Delivered quantitative research and policy evaluation projects for leading international development organisations in Georgia, including cost-benefit analyses of Georgian capital market reforms for USAID, a multi-criteria analysis decision tool for UNDP, regulatory impact assessments for PwC, market studies for GIZ, data analysis and visualization for an EU agricultural program, an impact assessment of women's entrepreneurship grants for HERA, and a market research of oil products for Abu Dhabi National Oil Company. Methods used across these projects include regression analysis, scenario modelling, sensitivity analysis, and econometric testing, delivered in Python, R, Stata, and Excel. References available upon request.

Fullstack Python Developer with 10 years of hands-on experience. Proven track record on Upwork: fast, reliable, and high-quality delivery every time. I build modern web applications from the ground up and deploy them on secure, scalable cloud infrastructure. Whether you're starting from scratch or need help fine-tuning an existing app - I got you covered. Tech Stack Highlights: 🐍 Django + DRF + HTMX + Tailwind = Fast, Secure & Scalable ☁️ AWS (EC2, RDS, S3, Lambda, Elastic Beanstalk) 🧠 AI Integration - ChatGPT-OpenAI, custom chatbots, NLP pipelines 🔄 Real-Time - WebSockets, Redis Pub/Sub 🚀 DevOps - Docker, K8s, GitHub Actions, Nginx, SSL, Cloudflare 📈 Data & Analytics - Pandas, PostgreSQL, Superset 🔌 APIs - GraphQL, Stripe, YouTube, Google Ads, Mailchimp 📱 Frontend - HTMX, Tailwind, JS (React optional) Why work with me? ✅ 7 years of fullstack expertise ✅ Cloud-native, production-grade apps ✅ Honest estimates, clean code Let’s turn your idea into a fast, beautiful, and robust web app.

I am a Commercial Analyst with extensive experience in the FMCG sector and a proven track record in budgeting, category management, and forecasting. My expertise includes econometric modeling, regression analysis, and data-driven decision-making. Proficient in Excel and skilled in project management, I excel at delivering actionable insights and managing complex projects effectively.

I am a researcher and writer with published articles about political, socio-economic, and cultural issues happening around the world.

Implementation-focused data scientist with 7+ years of experience in building data-driven products. Led product-creation for top ML projects, reducing maintenance costs and increasing revenue; resulted in $25M impact (2022). Strong background in data science, statistics and cross-functional communication. Accomplishments: Led and developed a lot ML projects, here some of them: * Designed and implemented virtual sensor with advanced forecasting capabilities for sintering plant, resulting in optimized decision-making and 3% increase in prime yield. * Implemented DDMRP methodology for warehouse stock optimization, incorporating supply-and-demand forecasting through Bayesian models. Resulted in 20% reduction in stock storage usage, which in turn saves $10M per year. * Developed ML model to optimize the casting process, leading to 5% reduction in electric energy. * Developed and maintained model for elasticity of supply in the iron scrap market, leading to a reduction in charges by 3-5%. Convinced stakeholders to accept service by demonstrating its economic efficiency. * Designed and created a system for optimizing the ferro-alloying process; achieving a notable 5% reduction in alloys usage for primary steel grades. Was team lead data scientist. Mentored 9 data scientists from interns to mid-levels; placing them in appropriate teams, monitoring their progress through weekly 1:1 and team meetings, and solving their big issues. Collaborated closely with domain experts and technical engineers to create industry solutions. Conducted thorough technical and economical evaluations that ultimately resulted in finalizing 5 successful products Core skills: Data Science | ML Engineering | Python | XGboost/Optuna/SHAP | Time Series | Metallurgy Leadership | Engineering Mindset | Agile | Research | Creativity | Active Learning | Critical Thinking Optimal Control | Bayesian Models | CV | PINN | MLOps | CI/CD | Statistics | Economics SQL | Docker | Pytorch | PySpark | OpenCV | Dagster | BentoML | Git/Bash | Papermill | AWS Sagemaker