Микита

Phone: [open contact info](look above in the "contact info" section)
MYKYTA YAKYMASCHENKO Email: [open contact info](look above in the "contact info" section)
Location: Italy / Remote
Junior+ / Middle Data Analyst Languages: Italian (B2/C1), English (C1),
Data Processing, Financial Analytics & Consulting (DataTeam srl) Ukrainian (Native), Russian (Fluent)

Professional Summary: Data Analyst with hands-on experience in financial data processing, accounting systems, and B2B consulting
workflows at DataTeam srl. Proficient in transforming raw data into insights using SQL, Python, GCP, and BigQuery, paired with
accounting platforms (TeamSystem) and e-commerce business metrics. Certified in MLOps and Cloud Data workflows via Google Cloud
Skills Boost.

TECHNICAL STACK & TOOLS

Databases & Querying: PostgreSQL Google BigQuery SQL (CTE, Window Functions, Complex Joins)
Data Analysis & Scripting: Python (Pandas, NumPy) Google Apps Script Jupyter
Visualization & Spreadsheets: Looker Studio Google Sheets (QUERY, ARRAYFORMULA, Pivot Tables)
Cloud & Ecosystems: Google Cloud Platform (GCP) TeamSystem (ERP / Accounting)
Domain Expertise: Unit Economics, Sales Funnels, Cohort Analysis, Financial Data Reconciliation

EDUCATION & CERTIFICATIONS
Google Cloud Skill Boost — Official Skill Badges Liceo Scientifico — Opzione Scienze Applicate "Leonardo da
Earned credentials in MLOps (Machine Learning Operations) and Cloud Vinci"
Data Analytics workflows. Secondary Education (Applied Sciences Stream).
ActPro Training Center School ТОВ "Успіх" & NMT Examination
Completed Cybersecurity & Systems Engineering Training Course. Completed Ukrainian National Multi-Subject Test (NMT) Certification.

KEY RESPONSIBILITIES (DATATEAM SRL / B2B CONSULTING)
• Financial & Accounting Data Analysis: Processed, reconciled, and analyzed financial datasets for B2B clients in close
collaboration with financial consultants and TeamSystem ERP workflows.
• SQL Pipeline & Query Optimization: Engineered and optimized complex SQL queries in PostgreSQL and Google BigQuery
(JOINs, aggregations, CTEs) to extract and transform multi-source data.
• Automated Data Processing (Python): Built Python workflows using Pandas and NumPy for automated data cleaning, parsing,
transformation (EDA), and routine analytical procedures.
• Reporting & Dashboard Development: Designed interactive Looker Studio dashboards and structured advanced Google Sheets
models (QUERY, ARRAYFORMULA, Pivot) to track financial metrics.
• Cloud Infrastructure Management (GCP): Managed cloud data storage, pipeline automation, and access permissions using
Google Cloud Platform (GCP) services.
• Client Communication & Requirements Gathering: Gathered analytical requirements from B2B clients, translated business needs
into technical specifications, and supported e-commerce consulting reports.
• AI Workflow Integration: Applied LLMs and prompt engineering techniques to accelerate initial market research, meeting
documentation, and reporting template generation.

KEY ACHIEVEMENTS
• Reduced Delivery Lead Time: Automated data collection and market/financial analysis using Python scripts and BigQuery SQL
models, cutting report turnaround time from 3 days to 1 day.
• Improved Processing Speed: Accelerated client data processing cycles by 25% through SQL query optimization in PostgreSQL
and spreadsheet architecture refactoring in Google Sheets.
• Streamlined Accounting Data Workflows: Built a seamless reconciliation framework from TeamSystem into Looker Studio
dashboards, eliminating manual data entry and minimizing error rates.
• High Client Retention (CSAT 92%+): Maintained high calculation accuracy across financial models and transparent client reporting,
contributing to long-term contract renewals.