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Data Analysis with less than a year in SQL, Python & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on training and project experience in SQL, Python, Power BI, and Excel. Skilled in data cleaning, exploratory data analysis (EDA), business intelligence reporting, and interactive dashboard development. Completed 6-month professional training at Arc Technologies with project work spanning 500K+ real-world transactions. Seeking a data analyst role to apply analytical and problem-solving skills in a data-driven organization.
Jhulelal institute of technology
Bachelor of Technology/Engineering · CSE
June 1, 2022 – June 1, 2026
Arc Technologies And Institutions
Data Analytics Trainee
January 1, 2026 – June 1, 2026
India
Large Scale E-commerce Analytics
June 19, 2026 – Present
Analyzed 541K+ e-commerce transactions to identify sales trends, customer behavior, and product performance. Performed data cleaning and exploratory analysis using Python, and developed 15+ SQL queries for revenue, customer, and product insights. Built a 4-page Power BI dashboard with key KPIs, sales trends, customer segmentation, and country-wise performance analysis.
Customer Shopping Behavior Analysis
June 19, 2026 – Present
Analyzed 3,900 customer purchase records and 18 business attributes to uncover shopping patterns and customer behavior. Performed data cleaning, feature engineering, and customer segmentation using Python; handled missing values and created analytical features. Developed 10+ SQL business queries and built an interactive Power BI dashboard to analyze revenue, subscriptions, product performance, and customer loyalty.
Data Analytics Professional Certificate
Arc Technologies And Institutions
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical, business-oriented data analysis, which aligns well with roles requiring direct impact through data. The experience with diverse datasets (customer purchase records, e-commerce transactions) and tools (Python, SQL, Power BI) suggests adaptability. The internship and certifications indicate a proactive learning attitude. However, the overall experience level is entry-level, which might require mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's resume indicates a detail-oriented approach and a desire to apply analytical and problem-solving skills in a data-driven organization. The project descriptions suggest an ability to work with large datasets and translate data into actionable insights. However, without specific behavioral assessment data, it's difficult to fully assess operational fit, stress handling, or team collaboration skills.