Digital Twin

Losses&Benefits
Our responsibilities
Team
Offer
IoT solution

Global multidisciplinary client-oriented team of professionals whose aims are to conduct industrial researches both in Artificial Intelligence (AI) and machine learning, and to make an impact on improvement of people's lives.

Data science outsourcing
«Digital Twin»

Losses

Disorder in cumulative data, impossibility of getting insights and the overall picture

Instead of developing the company you waste the time and other resources on creating own analytical department

The team doesn’t gain new experience in external objects, is in an information bubble

The team is either overloaded or underloaded so it can’t react flexibly on business requirements

What problems can be solved by data science outsourcing?

Data-analysis allows to collect all the information about the company and market for further analysis, forecast and planning

We save your time and resources in acquisition, processing and analysis data of your clients, markets and internal processes

We work on a great number of various projects in different fields, have a vast experience in building all sorts of machine learning models

At each stage of the process you choose an optimum number of workers for certain task that allows to optimize the resources

Benefits

Data mess

Team’s workload

Waste of resources

Limited horizons

Losses&Benefits

WHY

Open data legislation make cities more transparent
City infrastructure investments becomes more secured, but not structured

GET EXCLUSIVE, ACCURATE, SCENARIO DATA INSIGHT FASTER

Environmental Social Governance strategies are already a competitive differentiator. They’re about to also become a regulatory imperative.

FORECASTS & IMPACT ANALYSYS

Data Analysts, ETL – engineers, Data Warehouse engineers, Data scientists, Data modelers, Visualization designer & engineers, IT administrators. Servers, Software licenses, Mathematical models

STRENGTHEN YOUR IT
STAFF

EXISTEN DATA SETS & MODELS

REFERENCED CITY MODEL

1

REGIONS

85

INDUSTRIES

120

DOMAIN MODELS

>50

CITIES

2,3k

YEARS
(2000-2050)

50

KPIs

390

LOCALITIES

28k

PROJECTS

>20

Our responsibilities

Full cycle of our work

You only need to provide initial information:

Sets of poorly structured and cleaned data,
The documents,
Regulations
Real-time sensor data collection & processing

Collection

2

We will show you how to hide your trade secret in it and transfer security for date analysis

Depersonalization

1

«Comb» the data
Clean up the mistakes
Restore the missing
Put together in a single set
Enrich with external data

Handling

3

Identify bottlenecks
Identify potentials
We propose a quantitative formulation of possible tasks
Give suggestions for a solution

Analysis

4

5

Forecast

Build scenario forecasts on market behavior
We will build forecasts for the activities of the company, its customers and suppliers

6

Plan

We will integrate the proposals into the company's plans
Calculate the optimal plans (production, financial, marketing, investment)

7

Tool

Transfer prepared data sets
Provide analysis methods
Report findings and recommendations.
Create microservices for monitoring, analysis and forecasting
Protect intellectual property of the data and development methods

SOLUTION

DTWIN – AFFORDABLE DATA AS A SERVICE

Process internal unstructured data and enrich it with data from external data sources

EASY TO USE

You don’t have to hire IT-staff, data scientists, visualization experts, and install hardware or software

The rest we will do for you: data quality check, visualization, API, bulk download, forecasting models of city development

CHEAP

CLOUD SERVICE

WHAT WILL YOU GET?

Personal assistant for helps to collect, clean & verify open and private data

ASSISTANCE

We are visualize data in graphs, maps, reports, reactive dashboards

We are transforming collected form to full stack data and analytical tools

VISUALIZATION

DATA & ANALYTICS

We are using social & economic models for forecasting development of city

FORECASTING & BENCHMARKS

IMPLEMENTATION

https://dtcity.shinyapps.io/Ecology

https://dtcity.shinyapps.io/MOBSKI

Implementation on website of city takes a few minutes. It will looks like

http://dtwin.city

Team

Excellent analytical and critical thinking skills
Self-starter with great skills in teamwork, partnership, and communications both verbal and written
Experience in delivering Data Science capabilities on a cloud platform (ex: AWS, Azure, Google)
Knowledge of Identity and Access Domain

Executive Director «Digital Twin»

Oksana Strotinskaya

Pavel Suvorov

Head project manager

MSc in computer science
6+ years of experience in business intelligence and analytics
Proficient in a modern scripting language R/Python
Proficient running queries against data with Google BigQuery/ SQL
Mastery utilizing statistical techniques to identify key insights that help solve business problems

MSc in computer science, mathematics, and data science
R programming experience, strong software engineering culture and ability to write high-quality code
Affinity to the research way of working;
Fluent English, excellent communication and technical writing skills
Experience with chemical & petroleum, government, finance, energy & utilities domain

CEO «Digital Twin»

Serge Gumerov

Vladimir Lavrishchev

Head Data-scientist

PhD in mathematics and data science
Strong working knowledge of machine learning, data modeling, and visualization in R/Python using the Keras/Tensorflow
10+ years experience with deploying machine learning models to production systems
Experience with databases and SQL
Good understanding of probability, statistics and Big Data

Vladimir Aladinsky

Scientific Leader

PhD in mathematics
40+ years of experience in technical, mathematical, physical and economic expertise of complex technical, industrial systems, reliability assessment, development of targeted comprehensive industry programs, technical condition monitoring programs, development of normative and technical documentation for diagnostics and repair

Nikita Burakov

Data analyst

Bachelor of Mathematics-Physics (Engineering, Statistics)
3+ years of experience working with ML librarys R/Python, analytics and technology
Advanced data reporting and visualization skills
Excellent mathematical and statistical skills
Participated in mathematics conferences
Won mathematics and computer science Olympiads