passionate Data Analyst and Data Scientist with a strong background in turning complex data into meaningful insights. I have experience working with Python, SQL, Power BI, Tableau, and Excel, and I love helping businesses and individuals make data-driven decisions
Data scientists
149I am a specialist in artificial intelligence development, focused on Python and operational process optimization.My approach is to combine technical knowledge with innovative solutions to help companies interact with clients more effectively and automate business processes.EducationIn February 2025, I will officially receive a red diploma (master’s degree with honors) in the specialty "Computer Science…
AI & Machine Learning · Enterprise Resource Planning (ERP)
…Webpack, BabelDatabase Technologies (Expert Level) PostgreSQL, MySQL, MongoDB, Redis, Cassandra, Elasticsearch, DynamoDB, Oracle, SQL ServerAI/ML Technologies (Expert Level) TensorFlow, PyTorch, scikit-learn, Keras, OpenAI API, Hugging Face, Computer Vision, NLP, ML OpsUX/UI Design (Expert Level) Figma, Adobe XD, Sketch, InVision, Zeplin, Material Design, Atomic Design, UX ResearchEducation Master of Science in Computer Science…
data engineering tools such as Airflow, Spark, dbt, Informatica, and modern AI frameworks (OpenAI, LangChain, Anthropic). Adept at integrating analytics into business systems with visualization tools including Looker, Tableau, and Metabase. Led the design of big data pipelines processing 20TB/day, developed real-time pricing models, and built AI-powered client portals. Engineered scalable ETL pipelines, optimized data…
with emphasis on performance tuning, efficient data modeling, and safe production migrations. Strong proficiency in building responsive web applications and mobile-ready solutions, ensuring high performance, clean UI architecture, and excellent user experience across platforms. Strong hands-on experience integrating AI-powered features into production systems, including LLM-based applications, intelligent automation, and data…
HTML & CSS · AI & Machine Learning
infographics. 2. Automation & "Smart" Solutions • Integrations: Payment gateways, CRM systems (KeyCRM, Kommo, Keepin), and SMS/Email automation. • Python Solutions: Custom Telegram Bots, data scrapers, and automation scripts for lead processing. • Low-code (iPaaS): Advanced workflows in Make (Integromat), n8n, and Zapier. 3. Data & AI Implementation • Databases: SQL (MySQL, SQLite) integration for secure user data…
Contextual Advertising · Email Marketing
via API — payment_mode, learning status, simulator data , asset performance I cross-check schema markup (JSON-LD) against actual policy pages — the knowledge graph often declares things that don't match the site I check infrastructure (Cloudflare, cache, PSI score) — it can silently destroy conversions and stay invisible in the UI Only after that do I move to strategy. Without this step, optimization = guessing on dirty data…