Вікторія

VIKTORIIA STRELNIKOVA
GIS Analyst
DETAILS
PROFILE
EMAIL Experienced GIS Specialist and Geodata Engineer with over 6 years of expertise managing and
[open contact info](look above in the "contact info" section) analyzing spatial data. Proficient in QGIS, Global Mapper, Terra Solid, ArcGIS, and Google Earth,
with hands-on Python development skills (Tkinter desktop tools, PyInstaller packaging) for building
LINKS automated geospatial data-processing pipelines. Adept at LiDAR analysis, GeoJSON/DXF/CAD data
quality control, and team leadership. Combines strong statistical and analytical skills with the ability
to rapidly adapt to new technical environments and tools. Demonstrated experience in transportation
LinkedIn systems planning, data collection, and workflow optimization, and skilled use of CAD software
especially MicroStation.
SKILLS
EMPLOYMENT HISTORY
GIS Mapping
GIS Specialist / Team Leader, Intetics Inc.
QGIS Jul 2019 – Present
ArcGIS Responsibilities:
Python (Tkinter, automation)
• As GIS Specialist: working across different project scopes within client database environments
MicroStation • Analysis, processing, and updating of spatial and tabular data
Terra Solid • Data verification and quality control
Global Mapper / LiDAR • As Geodata Engineer: production of maps, digitizing of new features, georeferencing of imagery,
GeoJSON / Shapefile / DXF land-cover classification
Data QA/QC • Creation of shapefiles and GeoJSON deliverables
Google Maps / OpenStreetMap • Work with Global Mapper's LiDAR module – point-cloud classification and feature extraction, 3D
Data Collection & Extraction
vectorization
• MicroStation drawing of site plans and schematics; development of semi-automated workflows
Vectorization
• Organization and delivery of internal training activities
Creative Thinking
• Team leading and coordination of GIS contractors
Microsoft Office / SharePoint
• Management of GIS contractor teams and hands-on development of Python-based data-processing
JIRA tools supporting large-scale survey QC pipelines (see Projects below)
LANGUAGES
KEY PROJECTS

Ukrainian Unified Data-Processing Pipeline Tool (Python / Tkinter)
English • Designed and built a four-stage desktop pipeline application for a large-scale infrastructure
attachment survey program (NDA client) covering hundreds of geographic zones: raw-file
preprocessing to a standard template, Excel-to-CSV conversion, CSV-to-GeoJSON conversion,
and automated exceptions extraction.
• Iterated the tool through multiple major versions, restructuring the UI into independent Pipeline
Runner / Tools / Exceptions workspaces with a dark theme.
• Built a robust header-resolution engine (exact match → custom mapping → alias dictionary →
suffix rules → fuzzy matching) to reconcile inconsistent column naming across hundreds of source
files.
• Implemented broadcast-column logic, cable-naming normalization, and slot-remapping rules, plus
full template-styling compliance (colors, borders, column widths).
• Authored an 18-page reference manual and packaged the tool as a standalone Windows executable
via PyInstaller.

Survey Data QC & Validation Suite
• Built a reusable CLI script and companion Tkinter GUI application to batch-scan survey Excel
files across many zones and flag records missing required identifiers, with an accompanying user
guide.
• Developed and documented a rules-based QC tool that validates infrastructure attachment survey
records against client-specific business rules, in collaboration with a fellow team member.

Spatial Data Quality & GIS Automation Scripts
• Developed a QGIS duplicate-point detection tool comparing pole/asset locations across GeoJSON
layers using spatial indexing (EPSG:3857), exporting confirmed duplicates as standalone
GeoJSON layers.
• Built a batch GeoJSON quality-fixer to resolve mixed field-type issues (e.g., numeric vs. string
identifiers) and ensure correct CRS metadata and naming conventions.
• Created supporting utilities including file/folder sorting scripts, a QGIS project (.qgs)
builder/updater, an XLSX-to-CSV batch converter, and a CSV-to-GeoJSON converter with
selectable CRS (WGS84 default).

CAD / LiDAR / DXF Data Support
• Produced site plans, schematics, and drawing deliverables in MicroStation DGN format, integrated
into broader GIS project pipelines
• Managed MicroStation-to-other-format data interoperability (DGN ↔ DXF/DWG), including
diagnosing and resolving conversion issues between MicroStation and downstream CAD/GIS
tools
• Point-cloud classification in TerraScan – ground, vegetation, buildings, and utility/infrastructure
classes from raw LiDAR returns
• Feature extraction from classified point clouds (poles, wires, vegetation encroachment, structures)
to support infrastructure survey deliverables
• Corridor and utility mapping workflows using TerraScan, extracting linear/point utility assets
along survey corridors for downstream GIS processing

EDUCATION

PhD, Kharkiv National Automobile and Highway University Kharkiv, Ukraine
Feb 2022 – Automobile Transport

Master of Science, Kharkiv National Automobile and Highway University Kharkiv, Ukraine
Jun 2014 – Transportation Systems

Bachelor, Kharkiv National Automobile and Highway University Kharkiv, Ukraine
Jun 2013 – Transportation Systems