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