A middle+/senior Data analyst with wide experience in fintech and insurtech. More than 6+ years of total expertise within data science fields:
1. Experience as Data Analyst - Preparing and runnning multiple A/B tests. Selecting growth points for the products, developing monitoring tools and methods. Preparing Visualisation in Tableau/superset/plotly. Selecting optimal metrics that align with client's need. Working on multiple projects simultaneously, communicating with Business representatives.
2. Experience as Data Scientist - building predictive models and fine-tuning them, training and creating Computer Vision networks from scratch, working with time-series data.
3. Experience as Data Engineer - Advanced SQL querying, including window functions, cte's, nested queries and etc. Working within Snowflake/PostgreSQL/MySQL. Experience in query optimisation within MPP/OLAP/OLTP databases.
Overall a very easy-going person, communicative, team player with a strong ability to structure the work on my own and deliver results in time.
PS.
Some experience of writing Solana smart-contracts and experience of simulating Tokenomics for crypto-game project. But very open to this experience and willing to grow knowledge within web3 fields.
Experience: 5 years
Yearly salary: $76,000
Hourly rate: $60
Nationality: 🇰🇿 Kazakhstan
Residency: 🌏 Remote
Experience
Data Analyst
Americor 2022 - 2024
Working with the marketing team to analyze the lead flow. Collecting information on incoming leads and stats of how and when they have been processed (MySQL + Python); Building dashboards to monitor lead conversion funnel (Tableau); Building views in SQL for further Tableau visualization; Analysing key marketing metrics for the product and introducing new ones; Improving visualisation through better suited metrics or correcting parameters within dashboards; Rapid hypothesis testing, and on-the-go analysis; Scripts and views transfers and optimisation through Snowflake; Working remotely with LA team, having 15hrs time diff.
Middle data scientist/engineer
Syncretis 2021 - 2022
Project 2 (DS, current): Satellite imagery processing. Different providers (api calls). Histogram matching, extracting coordinates and metadata (Gdal). Coordinate re-/referencing images(Qgis); NN re-training. Building custom data transforms for input imagery (PyTorch); Optimization of Skimage histogram-matching for best performance in defined conditions; Using NumPy vector operations to boost performance of image pre-processing; Working with time-series data, building classification models (Sklearn and boosting); Exploring possible extensions for the product, searching how to solve potential clients’ business need. Project 1 (DE): Creating and maintaining ETL/ELT pipelines for the client; Processing various types of data: Tables/Text/Imagery; Building data processing pipelines with PySpark; CI/CD development; Working within SCRUM-environment.
Data scientist
Digital Petroleum 2019 - 2021
Working with raw data from Oil&Gas companies. Filtering results, merging large datasets extracted from multiple sources(.xls files, .las files, etc.). Processing time-series data, including its visualization and validity check. Anonymization of client data for 3rd party processing (pandas, sci-py, signal processing); Building custom functions based on requirements for the current task; Analysing and processing time-series data, generating additional statistical features, data discretisation and feature extraction; Preparing the pipeline for algorithm testing within clients work flow; Co-designing the user-interface for the final software in ‘Figma’ with UI/UX contractors; Preparation of reports for each of the project steps, formulating key goals, achieved by the team.
Skills
data viz
data-science
python
solidity
sql
analyst