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Senior
Регистрация: 10.10.2022

Roman Tolmachev

Специализация: Fullstack Data Scientist
— Over 5 years of professional experience in the fields of Data Analysis and Machine Learning. — I like to solve complex problems instead of creating them. Skills: — Python. — Git. — Linux. ML: — Time series analysis. — Anomaly detection. — Demand forecast. — Classical ML algorithms. Frontend: — JavaScript. — Vue.ui. — Figma. Backend: — FastAPI. — Flask. — Spark DevOps: — Docker. — NiFi. — Prefect. — Hadoop. — Gitlab-Ci. Database: — Postgres. — Elastic. — Influx. — MS SQL.
Python JavaScript Vue.js Docker SQL Elasticsearch GitLab Machine Learning FastAPI DevOps Hadoop InfluxDB MSSQL NiFi Database Developer Git Figma PostgreSQL Spark Linux flask
— Over 5 years of professional experience in the fields of Data Analysis and Machine Learning. — I like to solve complex problems instead of creating them. Skills: — Python. — Git. — Linux. ML: — Time series analysis. — Anomaly detection. — Demand forecast. — Classical ML algorithms. Frontend: — JavaScript. — Vue.ui. — Figma. Backend: — FastAPI. — Flask. — Spark DevOps: — Docker. — NiFi. — Prefect. — Hadoop. — Gitlab-Ci. Database: — Postgres. — Elastic. — Influx. — MS SQL.
Python JavaScript Vue.js Docker SQL Elasticsearch GitLab Machine Learning FastAPI DevOps Hadoop InfluxDB MSSQL NiFi Database Developer Git Figma PostgreSQL Spark Linux flask

Портфолио

Analogue finder

● Development of a search system that can find alternatives for inventory by textual description.

Forecasting model

● Demand forecasting for regular sales and sales promotion for a large scale retailer. ● Processing of big data arrays and participation in the formulation of hypotheses and improvement of the forecast model.

OLM

● Development and support of a user API and a web interface, creation of a geoservice capable of calculating distances and travel time between different locations on a map.

Скиллы

Python
SQL
Java Script
Docker
Vue JS
Vue UI
Git
Linux
Machine Learning
Time series analysis
Anomaly detection
Demand forecast
Classical ML algorithms
Figma
FastAPI
Flask
Spark
DevOps
NiFi
Prefect
Hadoop
Gitlab-Ci
Postgres
Elastic
Influx
MS SQL

Опыт работы

FullStack
с 11.2021 - По настоящий момент |Optimate
Python, FastAPI, Vue.js, Elastic
● Development and support of a user API and a web interface, creation of a geoservice capable of calculating distances and travel time between different locations on a map.
Data Scientist
01.2021 - 11.2021 |Rubbles
Python, Spark, Prefect
● Demand forecasting for regular sales and sales promotion for a large scale retailer. ● Processing of big data arrays and participation in the formulation of hypotheses and improvement of the forecast model.
Data Scientist
03.2018 - 11.2020 |Zyfra
Python, PostgreSQL
● Development of a search system that can find alternatives for inventory by textual description. ● Development of a product for detecting anomalies in the operation of CNC machines. ● Creation of a user interface for tracking anomalies in real time.
Data Scientist
05.2017 - 04.2018 |NDA
Postgres, Elastic, Influx, MS SQL
● Working with big data for the transport network of a large city. ● Writing optimal queries and searching for insights in the data.

Образование

Master's, in management of technical systems (Магистр)
2016 - 2018
Moscow technical university of communications and informatic
IT (Бакалавр)
2012 - 2016
Moscow Technical University of Communications and Informatic

Языки

АнглийскийПродвинутыйРусскийРодной