Data Analyst with 1+ years in Data Analysis, SQL, and Python.
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Assessing your cultural and operational fit
Data Analyst with a strong mathematical foundation (Boğaziçi University, B.Sc. Mathematics, 2026) and hands-on experience in SQL, Python, BigQuery, and Tableau. Background in performance analysis and structured problem-solving, with proven ability to turn complex data into clear business insights. Seeking remote data analyst roles where I can contribute to data-driven decision-making.
IT School GoIT
Data Analyst Programme
August 1, 2025 – June 30, 2026
Boğaziçi University
B.Sc. · Mathematics
August 1, 2017 – June 30, 2026
Birey Odaklı Eğitim Merkezi
Mathematics Teacher
September 1, 2023 – May 1, 2025
India
E-Commerce Conversion Funnel Analysis
June 23, 2026 – Present
Extracted and cleaned high-volume GA4 event data using BigQuery SQL to map the full customer purchase journey (view → cart → checkout → purchase). Calculated step-by-step conversion rates to identify the highest drop-off points, providing actionable UX recommendations to management. Delivered findings via Tableau dashboard, enabling clear visualization of funnel performance for non-technical stakeholders.
Marketing Channel Performance Analysis
June 23, 2026 – Present
Segmented GA4 e-commerce traffic by source, medium, and campaign using advanced BigQuery SQL with CTEs and aggregate functions. Computed session-to-cart and session-to-purchase conversion rates per channel, identifying high- and low-performing traffic sources. Produced a data-backed budget allocation report enabling marketing teams to optimize future spend.
Landing Page Performance Analysis
June 23, 2026 – Present
Matched session entry points to purchase events over a one-year dataset using advanced BigQuery SQL JOINs to calculate per-page conversion rates. Identified highest-converting landing pages, directly informing UX optimization and content strategy decisions.
Cultural Fit Analysis
The candidate's background in mathematics and their pursuit of a Data Analyst Programme indicate a strong interest and commitment to the field. The personal projects showcase initiative and a proactive approach to skill development. The teaching experience suggests a collaborative mindset and an ability to explain complex topics, which can be beneficial in team environments. The candidate's profile indicates a preference for remote roles, which aligns with modern work cultures. The diversity of projects, though all personal, demonstrates a breadth of application within e-commerce analytics.
Soft Skills & Operational Fit
The candidate's experience as a Mathematics Teacher highlights strong analytical thinking, structured problem-solving, and the ability to communicate complex concepts clearly. The description of developing a 'data-driven methodology' and analyzing 'individual performance data' suggests an aptitude for applying analytical approaches to real-world problems. These skills are highly transferable to a data analyst role, particularly in understanding business requirements and presenting findings. The candidate's projects also demonstrate an ability to work independently and deliver actionable insights.