Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in Data Analysis, SQL, and Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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.