Andrey Prigorkin

Andrey Prigorkin


Email: a.prigorkin@g.nsu.ru

Linkedin.com/In/aprigorkin

Phone: +7-960-793-70-22

Education:

Novosibirsk State University, Economic Faculty

Management Dept. – 3rd year of undergraduate study (BSc)

2015-2019

Additional Education:

DataCamp, Online Courses Oct

Got: practical experience with data science technologies stack (Python, SQL, Shell, Git, R)

International Scientific Student Conference Apr 2018

Done: Analyzed the need for initial coin offering (ICO) funding in material-based startups. Made a comparison of ICO with conventional funding methods. Evaluated the Russian case ZrCoin.

2017-Now


Professional experience:

LLC «KB-Consulting», Consulting Company

Trainee / Business-analyst

Jun-Jul 2017

1. Analyzed 2 client organizations (Russian Railways, Rich Family) and a potential competitor (Deloitte). Tracked problems and designed the solution process.

2. Found >30 new marketing channels for the head company

LLC «Sygma.Novosibirsk», R&D center

Dec 2017-Jun 2018Analyzed the global drones market (googled a lot) for testing a hypothesis (NDA):

 Obtained current / prognostic market volumes and CAGR

 Obtained global drones market shares by regions

 Got market shares of military and commercial drone vendors

 Found out key players on the market and key drone operators

 Made several market segmentation: by type, by application, by the payload

 Found out applications and use cases (covered by NDA)

 Found out payload modules (covered by NDA)

 Analyzed service potential and revealed spare parts (covered by NDA).

LLC «Sygma.Novosibirsk», R&D center

Jun 2018-Now

Business Analyst

Have done an extensive task in conditions of uncertainty (used Kanban methodology):

1. Made an e-paper display benchmarking.

 Analyzed key technologies (Spectra, Triton, Advanced Color ePaper Display)

 Found out unusual applications, designed some additional features (covered by NDA).

 Found out use cases (benchmarks) and designed MVPs (covered by NDA).

Trainee / Market Research Analyst en.sygma.ru

Solved 3 different mutually exclusive and collectively exhaustive tasks:

1. Analyzed the global composites market (by using Google a lot):

 Obtained current/prognostic market volumes and compound annual growth rate (CAGR)

 Obtained global composites market shares by regions

 Segmented the market by industries (aerospace, automotive, oil & gas)

 Defined comparative advantages of key composite materials (carbon fiber, fiberglass)

 Found out extra information about cross-layered timber composite and its application

2. Gathered contact information for starting the negotiation process to purchase artificial muscles for integrating them into an existing startup (NDA)

 Found out optimal suppliers (researchers, labs, universities, institutes, R&D centers)

 Structured by dividing them into muscles types

 Cleaned data (removed developers which shut down their work)

3. Analyzed the global drones market (googled a lot) for testing a hypothesis (NDA):

 Obtained current / prognostic market volumes and CAGR

 Obtained global drones market shares by regions

 Got market shares of military and commercial drone vendors

 Found out key players on the market and key drone operators

 Made several market segmentation: by type, by application, by the payload

 Found out applications and use cases (covered by NDA)

 Found out payload modules (covered by NDA)

 Analyzed service potential and revealed spare parts (covered by NDA).

LLC «Sygma.Novosibirsk», R&D center

Jun 2018-Now

Business Analyst

Have done an extensive task in conditions of uncertainty (used Kanban methodology):

1. Made an e-paper display benchmarking.

 Analyzed key technologies (Spectra, Triton, Advanced Color ePaper Display)

 Found out unusual applications, designed some additional features (covered by NDA).

 Found out use cases (benchmarks) and designed MVPs (covered by NDA).

2. Testing hypothesis by using customer development (CusDev).

 Devised a couple of hypotheses

 Took part in building the pool of questions

 Gathered >10 personal interviews with potential customers

 Analyzed results and Interpreted conclusions

 Further details upon request.

Skills:

 Elementary Programming – Python; SQL; Linux Shell; Git; R

 Elementary Business Analysis – Balsamiq; UML; BPMN; block schemas w/Draw.io

 Project Management– Scrum; Kanban; Trello; Asana

 Manual Testing – Functional; UI

 Seeking; Structuring & Visualizing data– Googling; XMind; CusDev

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