Position: Project Manager
Category: Data Analyst
English level: fluent
Years of experience: 2

IT:
1. Built and managed the execution of the ML pipeline for Big Data aggregation, analytics, etc. 
2. Managed the product and partly technical development of the analytical platform intended for analysis of the private and public companies. 
3. Managed the technical, ML pipeline for the creation of an automated technology assessment system. 
4. Optimized hiring process to ensure requirements matching, reduced IT spendings 3 times preserving the same productivity level, ensured software adequacy and scalability. 
5. Maintained the development adequacy, tech and product requirements matching.
6. Optimized data management pipelines across analysts and IT teams.
7. IT team size: 3-20 people

Research:
1. Defined, managed, and executed analytical research on Longevity, Pharma, and other markets. 
2. Conducted technical due diligence for AI in Pharma companies on-demand. 
3. Designed, backtested and launched AI Pharma AMC with Vontobel in Switzerland ($1M AUM). 
4. Designed, backtested, and launched Cancer Vaccines AMC with UBS and LFA ($1M AUM). 
5. Defined, managed, and executed competitors analysis, legal specifics and compliance assessment. 
6. Analyst team size: 10-20 people.
I have experience in data analysis and management with R, Python and SQL, along with a bunch of visualization and processing tools like Power BI, Shiny or Flourish. Currently, I'm managing the development of ML-driven IT platform for private and public companies analysis. I govern the full cycle from tech and business requirements up to ML-pipeline management and data governance. Now, I'm looking for a more hands-on experience as a data analyst or data scientist.
1. Hands-on experience with data analytics and data management.
2. Adequate mentoring.
3. Ability to maintain work-life balance.
4. Ability to grow as a professional, taking into account the remuneration and areas of knowledge.