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Səyid CavadovSC
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Səyid Cavadov

@syidcavadov

Data analyst focused on client needs, investment products, and data-driven reporting using SQL, Python, and Excel.

Azerbaijan
Message

What I'm looking for

I’m looking to build a career in securities sales and financial services, using data analysis and reporting to support informed investment decisions. I want client-focused work where I can apply SQL, Python, and dashboards to drive clear outcomes.

I’m an economics graduate with a strong interest in capital markets, investment products, and client relationship management. I enjoy turning data into clear reporting that supports informed investment decisions, while staying focused on strong client communication.

In my Kredit Evi experience, I supported credit assessment by analyzing customer financial information and loan application documents to evaluate creditworthiness. I also gained practical exposure to financial analysis, risk assessment, and lending operations.

As a Training Specialist Intern at Prospect Cloud ERP, I worked with ERP modules including sales, finance, inventory, and HR. I analyzed business processes and organizational data flows to better understand reporting and decision-making needs.

In my Data Analyst Intern roles and projects, I cleaned, validated, and analyzed datasets using Excel, SQL, and Python, then built visualizations and dashboards for KPI tracking. I’ve created interactive Power BI dashboards (including sales performance monitoring) and delivered data-driven insights through Python, SQL, Tableau, and Tableau/Power BI-style reporting.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

LU

Lankaran State University

Bachelor of Economics, Economics

2022 - 2026

Grade: 86/100

Activities and societies: Relevant coursework: Statistics, Econometrics, Data Analysis, Data Visualization, and Business Intelligence.

Bachelor of Economics student focusing on statistics, econometrics, data analysis, data visualization, and business intelligence, with an academic score of 86/100.

Tech stack

Software and tools used professionally

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