Farangiz Oydinova

Experienced in cleaning, analyzing, and visualizing complex datasets through academic, self-learning, and internship projects. Skilled at creating interactive dashboards, generating KPIs, and delivering actionable insights that support data-driven decision making. Demonstrated ability to work independently in remote settings, with a growing portfolio of end-to-end projects across business domains. Seeking to contribute expertise in a part-time internship or junior analyst role while continuing professional development.

EXPERIENCE

Data Analysis Intern – Codveda Technologies

Sep 2025 –Present|Remote

·      Conducted exploratory data analysis (EDA) on large datasets to identify trends and insights.

·      Built interactive dashboards and visualizations using Power BI / Matplotlib to communicate findings.

·      Cleaned and transformed raw data using Python (Pandas, NumPy) for improved accuracy in reporting.

·      Delivered a final analytical project and presented outcomes via a professional report and video demonstration.

Projects

• BikeStore BI (SQL Server, T-SQL): Built an end-to-end retail analytics pipeline with automated reports and KPIs, improving insight delivery by 60%.
• FilmFlix Analytics (Python, Pandas, BeautifulSoup): Scraped IMDb Top 250 data, cleaned & transformed datasets, created KPIs and visualizations, enhancing content insights by 50%.
• Restaurant Analytics Dashboard (Power BI, DAX, Figma): Developed interactive BI dashboard with bookmarks, drill-through, and dynamic KPIs; optimized decision-making across sales, HR, and inventory.
• Furniture Store Analytics (Power BI, DAX, Figma): Built an interactive dashboard for sales, staff, leads, and call-center KPIs, boosting operational visibility and efficiency.
• E-Commerce Sales Analysis (Python, Pandas, Matplotlib, Seaborn): Processed and visualized sales data; generated KPIs including Revenue, AOV, Monthly Trends, and RFM segmentation to guide business strategy.
• Daikibo Telemetry Data Analysis (Tableau): Analyzed telemetry data from four factories to measure downtime and machine efficiency. Built dashboards comparing factory performance and delivered actionable insights to optimize maintenance schedules.

Skills

• Programming & Data: Python, SQL, Pandas, NumPy, Matplotlib
• Data Visualization & BI: Excel, Power BI, Tableau (in progress)
• Tools & Collaboration: GitHub, Figma

Soft Skills

• Critical Thinking: Skilled at breaking down data challenges, identifying root causes, and uncovering actionable insights.
• Data Storytelling: Able to translate complex datasets into clear, engaging reports and visual narratives for technical and non-technical audiences.
• Teamwork & Collaboration: Experienced working with diverse teams to align data solutions with business needs.
• Precision & Accuracy: Careful approach to data cleaning, validation, and modeling to ensure trustworthy results.
• Adaptability: Quick to learn new tools, adjust to changing project goals, and thrive in dynamic environments.
• Creative Problem-Solving: Resourceful in finding innovative approaches to resolve data-related issues.
• Organizational Skills: Strong ability to prioritize tasks, manage multiple projects, and deliver results on time.

Education

Uzbekistan State World Languages University – Tashkent

BSc, Teaching English Language and Literacy (Expected 2027)

Languages

• Uzbek: Native
• English: C1
• Russian: A2

Courses & Certifications

• MAAB Academy (Jan – Sep 2025)
• Ask Questions to Make Data-Driven Decisions – Google
• Data Analysis Job Simulation – Forage
• Get Started with Microsoft Data Analytics – Microsoft
• Prepare Data for Analysis in Power BI – Microsoft