s
socrates_sz

Socrates S

@socrates_sz

Data Analyst

Bolívia
Inglês, Espanhol
Algumas informações são exibidas no idioma inglês.
Sobre mim
I am a Data Professional with a strong passion for developing Dashboards, Reports, Data Models, and Performance-related insights. As a Business Analyst and Business Intelligence specialist, I can translate business requirements into operational dashboards and performance insights. With my Data Science knowledge, I can also perform advanced analytics on large datasets.... Saiba mais

Habilidades

s
socrates_sz
Socrates S
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

BI Analytics
I will do data analytics visualization on power bi
A partir deUS$ 10 /projetoMais detalhes

Portfólio

Experiência profissional

Agriculture Data Analyst

Sofia • Período integral

Mar 2025 - Present • 1 yr 2 mos

KPI Optimization: Analyze and monitor critical production metrics (PSY, mortality, and parity rates) to improve biological efficiency and farm profitability. Process Automation: Develop Python scripts to normalize and extract data from inconsistent multi-farm Excel reports, saving hours of manual reporting. Strategic Dashboards: Design and deploy Power BI dashboards to visualize mycotoxin levels and herd performance for executive stakeholders.

Investigator & Data Analyst

ICE • Período integral

Jun 2024 - Jan 2025 • 7 mos

Led the analysis of regional census data and statistical surveys to provide actionable insights for the department of Santa Cruz, Bolivia. Processed and cleaned complex datasets from large-scale investigations, ensuring data integrity for public policy decision-making. Developed statistical models to interpret demographic and socioeconomic trends across various provinces.

Upwork

Data analyst

Upwork • Freelance

Oct 2022 - Jan 2023 • 3 mos

Deployed new stabilized dashboard for real-time price integrated customer information, optimized the data-driven decision making, and revamped price strategies though Google Spreadsheet and Google Presentation. Identified opportunities developing new queries using PostgreSQL and Python to improve the numbers of ticket sales by 20%. Analyzed and deciphered the potential customer behavior through metrics such as LTV, CAC, CTR.