Data Analyst Processing

Pavlenko Anna V.

Data Analyst

Strong Computer Science/ Data Analyst background and experience in Data Processing and Machine Learning techniques to process and analyze data, developing complex SQL queries and using SPSS for analysis, Power BI Tableau for visualization. Experience translating complex information for non-specialist audiences using queries, reports, visualizations, and data processing tools. Hard Skills: Statistical Modeling (SPSS), Data Mining, Deep Learning, R / Python Techniques: Predictive Analytics, Data Visualization, Pattern Recognition, Software Development, Big Data processing

PROFESSIONAL EXPERIENCE:

Full Stack Java Developer Per Scholas (full-time bootcamp) 2024 Coding skills and experience with Java Programming, Relational Databases, Java EE, Spring Framework, CI/CD:

● Design, develop and maintain web apps using Java, Spring, and Hibernate

● Develop and maintain RESTful web services using Java and Spring

● Develop and maintain web user interfaces using HTML, CSS, JavaScript, and React

● Develop and maintain database schemas using SQL and Oracle

● Develop and maintain unit tests using JUnit

● Develop and maintain automated build scripts using Maven Data Analyst Jermaine Enterprises LLC (part-time) 2022 - current Real projects experience with PGAdmin, and Visual Studio. Experience in translating complex information for non-specialist audiences by using queries, reports, visualization tools, and data processing tools. Hard Skills: Statistical Modeling, Data Mining, Deep Learning, R / Python Techniques: Predictive Analytics, Data Visualization, Pattern Recognition, Software Development, Big Data.

CONTACT:

Boulder, CO 80305

+1 (303) 408 – 9425

********@*****.***

https://www.linkedin.com/

in/anna-pavlenko

https://github.com/annapa

v7/NO2-tropomi_predictio

n_analysis

SKILLS:

Programming:

Python (Keras, Scikit-Learn,

TensorFlow), R

SPSS

Power BI

Tableau

Git/ Github

Java, Spring, Hibernate

RESTful web services

HTML, CSS, JavaScript,

React

DataBases:

MySQL, Oracle SQL,

PostgreSQL

Data Analyst (Spatial Front, Inc) contract with NOAA 2023

• Work within a team to develop, and apply new technology and methods to increase the capabilities, efficiencies, and accuracy of the current data models

• Created workflow for transferring data to LAS/ LAZ format for the National Bathymetric Source project within the Office of Coast Survey

• Automated workflow development, including design, algorithm and software development, testing, and documentation

• Technologies used are Python, Postgres, GitHub, and QGIS Created Python code to transfer numpy array data in num npz format to LAS LAZ format to reduce sportage space on company Web Services. That allowed data interchangeability and advanced processing for the Office of Coast Survey in NOAA EDUCATION

MS-DS “Master of Science

in Data Science” CU

Boulder (2024)

Bachelors in GIS and

Research of Natural

Resources Siberian State

University of Geosystems

and Technologies (SSUGT)

Professional Certificates:

CU Boulder:

- Earth Data Analytics 2020

- Project Management /

Business Communication

program 2013

Full Stack Development (Associate at Catalyte, Inc.) 2022

• Develop Front-End on React.js to build a sporting goods e-commerce application

• Back-end development on C# for Web-based applications .Net E-Commerce API

• Developed and executing queries scripts for DataBases using PostgresSOL

• Built a .Net back-end database for an e-commerce sports apparel application

• Performed REST API Testing with Postman, functional, and regression Testing in different stages of the SDLC

Research Data Analyst Boulder County Assessor's Office 2021 Worked with large Relational DataBases: MySQL, PostgreSQL

• collecting, updating, researching, correcting information by using CAMA/MLS DB

• evaluating and preparing data for research complex statistical data

• discovering and verifying physical location, ownership, and property status changes

• performing miscellaneous job-related duties as assigned

• maintaining appropriate records for research results for appraised-related duties

- Increased 20 % automation of Deed updates for Assessor's DataBases Research Analyst CU Earth Lab 2020

Research Project: NO2 Detection/ Prediction Analysis from TROPOMI / Landsat satellite images by Machine Learning Algorithms in Google Earth Engine. Tableau will be used to create visual graphs, and Time Series will be used to create a prediction model representation.

https://github.com/annapav7/NO2-tropomi_prediction_analysist Data Analyst (ITASCA, Denver, CO) 2018 – 2020

• Used GIS and organizational practices to maintain and manage GIS layers

• Defined projections transformation for geodata from different sources, transferred them into different coordinate systems and geospatial formats

• Exports GIS data in various formats for use in other systems

• Implemented GIS analytic processes: reprojection, vector layers coordinate system transformation, change detection, and geoprocessing workflows

• Created maps, and data for various groups for well-field planning regarding Open Geospatial Consortium (OGC) standards and open-source tools

• Prepare, and research data formats, and content, and use visualization methods to assist scientists and management staff with representation for consulting projects

• Performs complex GIS analysis functions and geoprocessing using advanced tools and software extensions

Data Analyst II ( Xcel Energy, Denver, CO) 2017 – 2018

• Create GIS data by geo-referencing and digitizing gas service updates locations

• Perform data updates utilizing Client SAP work/asset management/GIS software

• QA/QC processes to ensure data integrity for advanced downstream applications

• Mapping process for electric and gas utilities using Smallworld

• QA/QC processes to ensure data integrity for advanced downstream applications

• Data integrity, GIS maintenance work to improve data accuracy/reliability

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