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Data Analyst with less than a year in data analysis, business intelligence, and dashboard reporting.
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Assessing your cultural and operational fit
Data Analyst with hands-on experience in data analysis, business intelligence, and dashboard reporting using Python, SQL server, Power BI Tableau, and Excel. Skilled in transforming raw data into actionable insights through data cleaning visualisation, KPI reporting, and business analysis. Experienced in analysing in real world datasets, identifying trends, and supporting data driven decision making through analytical reporting and interactive dashboards.
Beat Educations
Data Analytics
August 1, 2025 – June 30, 2026
Unknown
Master's Degree · Physics
August 1, 2022 – June 30, 2024
Unknown
Bachelor's Degree · Physics
August 1, 2018 – June 30, 2021
Data GUC
Data Analyst Intern
March 1, 2026 – Present
UK
RETAIL BUSINESS INTELLIGENCE SOLUTION
June 25, 2026 – Present
Analysed purchasing behaviour across 3.9K customers to uncover revenue drivers, customer segments, and product performance patterns using python, SQL, and Power BI. Identified that 73% of customers were non-subscribers and revealed revenue concentration among loyal and returning customers, highlighting opportunities for customer retention and subscription growth. Delivered KPI-driven dashboards and business insights covering customer segmentation, revenue trends, and category performance to support data-driven decision-making.
View ProjectRAILWAY DELAY ANALYSIS
June 25, 2026 – Present
Performed operational performance analysis on railway datasets to evaluate delay frequency, cancellation trends, and station-level service reliability. Utilised pivot-based analytical reporting and visualisation techniques to identify high risk train-station combinations contributing to operational disruptions. Generated performance-focussed reports to support better visibility into punctuality patterns and railway operational inefficiencies.
RESTAURANT DATA ANALYSIS
June 25, 2026 – Present
Conducted exploratory data analysis and correlation studies on restaurant pricing, customer ratings, delivery performance and engagement metrics using Python-based analytical workflows. Evaluated platform-wide restaurant distribution and customer behaviour trends to identify concentration patterns across pricing segments and urban localities. Analysed relationships between cost, delivery efficiency, and customer satisfaction indicators to assess service performance dependencies.
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data analysis skills across retail, railway, and restaurant domains, indicating adaptability. The current internship role as a 'Data Analyst Intern' aligns well with the target role of 'Data Analyst'. The breadth of tools used (Python, SQL, Power BI, Tableau, Excel) suggests a willingness to learn and apply various technologies. The candidate's educational background in Physics, followed by Data Analytics, shows a logical progression towards a data-centric career, indicating a strong interest and commitment to the field.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to present findings and recommendations, suggesting good communication and presentation skills. The focus on real-world datasets and business problems implies a practical, results-oriented approach. However, without specific psychometric or English test scores, a deeper assessment of soft skills and operational fit is limited.