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Data Analyst with 1+ years in Power BI, 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
Entry-level Data Analyst with hands-on experience in Power BI, SQL, and Python. Successfully delivered 13 dashboards for 25+clients as a freelance analyst. Specialized in logistics analytics with proven ability to track KPIs, clean large datasets, and turn data into actionable business insights.
Graphic Era Hill University
Bachelors of Computer Application
June 1, 2023 – May 1, 2026
FedEx Logistics Performance Analysis
December 1, 2024 – May 1, 2025
Analyzed 5000+ shipment records to identify delivery delays. Tracked 10+ logistics KPIs including on-time delivery rate (92%). Created visualizations reducing reporting time by 70%.
Sales Dashboard in Power BI
January 1, 2024 – February 1, 2024
Built Power BI dashboard analyzing 1000+ sales records. Created 5 KPIs tracking revenue, profit margins, and sales trends. Identified top 20% products generating 80% revenue.
Deloitte Data Analytics Job Simulation — Real-world client data analysis
Deloitte
June 1, 2026 – Present
Logistics Management Fundamentals
EDUCBA
June 1, 2026 – Present
IBM Data Analytics Certificate - Statistical analysis & data storytelling
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including sales and logistics, shows a breadth of application for data analysis skills. The freelance experience with 25+ clients across various sectors demonstrates adaptability and a potential for fitting into diverse team environments. The certifications also indicate a drive for continuous learning, which aligns with a growth-oriented culture. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions and freelance experience suggest good problem-solving and analytical thinking skills. The ability to reduce reporting time and improve data accuracy indicates an operational focus on efficiency. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.