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Data Analyst with 1+ years 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
Entry-level Data Analyst with hands-on experience in SQL, Python, Excel, and Power BI, specializing in data cleaning, exploratory data analysis, and interactive dashboard creation. Proven ability to deliver actionable business insights across retail and healthcare domains through real-world analytics projects. Actively seeking Data Analyst or Business Analyst roles where analytical expertise can drive data-informed decision-making.
Coding Ninjas Bootcamp
Data Analytics
January 1, 2024 – January 1, 2025
Gyan Ganga Institute of Technology and Science, Jabalpur (M.P.)
Bachelor of Technology · Computer Science
January 1, 2020 – January 1, 2024
Retail Data Analytics
June 20, 2026 – Present
• Processed and analyzed 50,000+ sales, customer, and inventory records using SQL joins and aggregations to identify top-performing products, regional trends, and customer segmentation insights. • Developed customer segmentation models using SQL-driven behavioral analysis, uncovering actionable patterns in purchasing habits and regional sales performance across key markets. • Delivered data-backed inventory optimization recommendations projected to improve stock efficiency by 15-20%, directly addressing revenue leakage and supply chain inefficiencies.
E-Commerce Data Analysis
June 20, 2026 – Present
• Analyzed end-to-end e-commerce data across customers, orders, order details, and products tables using SQL joins, CTEs, and aggregations, identifying top-selling products and top 3 highest-revenue regions. • Uncovered repeat customer patterns and high-revenue category trends through advanced SQL querying, enabling targeted marketing and data-driven pricing strategy recommendations. • Delivered comprehensive revenue performance analysis that provided actionable insights to support inventory optimization, pricing decisions, and sales growth planning for business stakeholders.
View ProjectCOVID-19 Global Data Analysis
June 20, 2026 – Present
• Performed comprehensive data cleaning, missing value imputation, and feature transformation on large-scale global COVID-19 datasets to ensure data integrity for downstream analysis. • Conducted time-series analysis to study trends in infection rates, recovery trajectories, and mortality patterns, producing multi-region comparative insights to support data-driven conclusions. • Designed and implemented a suite of Seaborn and Matplotlib visualizations comparing regional pandemic impact, translating complex epidemiological data into clear, stakeholder-ready visual narratives.
Generative AI for Data Analytics
Coding Ninjas
June 1, 2026 – Present
SQL for Data Analysis
Coding Ninjas
June 1, 2026 – Present
Deloitte Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Data Visualization with Power BI
Coding Ninjas
June 1, 2026 – Present
Introduction to Analytics & Excel
Coding Ninjas
June 1, 2026 – Present
Simplifying Predictive Analytics with BigQuery
Coding Ninjas
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (e-commerce, retail, COVID-19 analysis) and certifications in various data analytics tools and concepts suggest a proactive learning attitude and adaptability. The target role of Data Analyst aligns well with the demonstrated skills and project experience. However, the lack of professional experience and limited exposure to diverse team environments in the provided data makes a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate complex data into actionable insights and recommendations, suggesting good problem-solving and communication skills. The focus on delivering business value (e.g., inventory optimization, targeted marketing) aligns with operational needs for data-driven decision-making. However, without direct work experience or psychometric test results, assessing stress handling, team collaboration, and work attitude is not possible.