Open to Data Science, ML & Automation roles — Moscow & remote
Data Scientist · Data & Automation Engineer
Web Scraping / ETL · Machine Learning · AI-Assisted Development
I build end-to-end machine-learning, web-scraping and ETL systems — and ship production tools fast with AI coding assistants.
Builds production tools fast with AI coding assistants (Claude / GPT SDKs)
About
I'm a Data Science M.Sc. graduate from NUST MISIS (Honors / Red Diploma, GPA 5.0/5.0). I design and build the full pipeline — from resilient web scraping and data cleaning to machine-learning models and the apps that put them to work.
My Master's thesis built a hybrid rule-based + ML engine that detected the Applicant Tracking System of every Fortune 500 company with 100% coverage. Day to day I lead multi-source job-data ingestion at a data company, and I previously built the official scraping-template library for a desktop web-automation platform.
I work fluidly with AI coding assistants (Claude, GPT SDKs) to design agentic tooling and prototype quickly — moving faster without losing rigor. Fluent in English, native Arabic, working Russian.
Open to Data Science, ML Engineering, Data / Automation Engineering, Web Scraping, Full-stack and IT Support roles — Moscow and remote.
5.0 / 5.0
GPA — M.Sc. Data Science, Red Diploma (Honors)
100%
Fortune-500 ATS detection (500 / 500)
8+
Shipped projects — ML, scraping, full-stack, desktop
6+ yrs
Across data, automation and IT support
Services
I help businesses turn the open web into clean data and working automations — from resilient scrapers and lead lists to LinkedIn/social workflows, n8n pipelines and ML. Below are the platforms I've built scrapers and automations for.
Resilient scrapers for e-commerce, social and SaaS — pagination, anti-bot handling, and exports to Google Sheets, a CMS, or webhooks.
Targeted B2B lead lists with enriched, verified contact data — emails, phones and social profiles, deduplicated and ready to use.
Profile and company data extraction plus outreach workflows across LinkedIn and other social platforms.
Low-code/no-code automations wired to your existing tools — triggers, enrichment, and hand-offs that run on a schedule.
Cleaning, normalization and deduplication, dashboards, and machine-learning models with clear, explainable results.
Packaged desktop and web tools — installers, dashboards and internal apps that put the data to work.
Platform names and colours are shown for reference only — all trademarks belong to their respective owners.
Skills
Programming
Data & ML
AI & LLMs
Scraping & Automation
Web & Full-stack
Data Engineering
Databases
Tooling & IT
Experience
Data & Analytics Company RemoteCurrent
Web-Automation / RPA Product Company Remote
Yemeni Socialist Party Sana'a
Community Programme Sana'a, Yemen
Projects
Machine learning, resilient web scraping, ETL, automation and full-stack apps — including commercial, licensed products. Click any card for the full case study.
FeaturedMachine Learning · Research
A hybrid rule-based + ML engine that detects which Applicant Tracking System every Fortune 500 company uses — with 100% coverage.
FeaturedData Engineering · AI Agents
A multi-source job scraper whose "source builder" uses an AI agent to generate a validated scraper config from any URL.
FeaturedFull-stack · Commercial Product
A full-stack app that extracts and verifies contact data from CMS collections or URL lists — shipped commercially as a licensed Windows app.
FeaturedAutomation · Backend
A visual Flow Builder that chains reusable browser agents into automation workflows, callable from n8n.
Web Scraping · Desktop App
A secure desktop tool that checks a domain across five marketplaces and writes the cheapest price back to a Google Sheet.
Machine Learning
An end-to-end classification pipeline with gradient-boosted models and macro-F1 threshold tuning.
Web Scraping · Data Analysis
A scraper + analysis pipeline that turns Google Maps business listings into a clean, analysed contact dataset.
Full-stack · Web App
A responsive tutoring site with lesson booking, backed by Supabase (Postgres).
Python + C++ study benchmarking binary-search-tree vs. AVL-tree operations on random and sorted datasets, with plotted results and a matched C++ runner for large runs.
Android marketplace that matches service providers with clients by category, price, location, availability and ratings.
Point-of-sale and accounting system tracking daily sales, inventory and customer accounts — reduced manual errors for a retail business.
Education & Certifications
NUST MISIS — National University of Science and Technology, Moscow
University of Modern Sciences
Moscow Institute of Physics and Technology (MIPT)
Seeds Education
Work with me
Tell me a little about your project — scraping, lead generation, automation, or data/ML — and I'll reply with next steps and a quick plan. Open to Data Science, ML Engineering, Data / Automation Engineering, Web Scraping, Full-stack and IT Support roles — Moscow and remote.