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Data with less than a year in SQL & Business Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with 6+ months of hands-on experience in SQL development, ETL pipeline design, Azure cloud data solutions, and business intelligence reporting. Proficient in Python (Pandas, NumPy), Power BI, and Microsoft Excel for end-to-end data analysis, transformation, and visualization. Demonstrated ability to build scalable data pipelines, automate reporting workflows, and deliver actionable insights from complex datasets. Strong foundation in data quality, exploratory data analysis (EDA), and cross functional stakeholder communication. Seeking a full-time Data Analyst role to drive data-informed business decisions.
G. H. Raisoni College of Engineering and Management Nagpur
B.Tech · Mechanical Engineering
N/A – June 30, 2025
Edverciity by LiveTechSkills
Data Analyst Intern
December 1, 2024 – June 1, 2025
Nagpur, Maharashtra, India
E-Commerce Sales Analytics & Customer Segmentation
January 1, 2025 – January 1, 2025
Analyzed 2M+ transaction records using Python and SQL to identify sales trends, seasonal patterns, and top-performing product categories. Applied RFM Analysis and K-Means Clustering to segment customers into 5 distinct groups for targeted marketing and customer behavior analysis. Developed a SQL Server star-schema data warehouse and interactive Power BI dashboard tracking key metrics including AOV, CLV, and Churn Rate.
Azure End-to-End Data Pipeline – Retail Inventory
January 1, 2025 – January 1, 2025
Designed and implemented an automated Azure data pipeline to ingest inventory data from flat files and REST APIs into Azure SQL Database. Built parameterized ADF pipelines with error handling and Python-based data validation for schema, null, and duplicate checks. Created Power BI dashboards on Azure SQL views to provide near real-time inventory visibility and reporting.
View ProjectCOVID-19 Global Data Analysis & Trend Visualization
January 1, 2024 – January 1, 2024
Collected, cleaned, and transformed 5M+ COVID-19 records from WHO and Johns Hopkins datasets using Python and SQL. Performed analytical calculations including 7-day rolling averages, case fatality rates (CFR), and vaccination coverage across countries and regions. Built data visualizations and documented insights in Jupyter Notebook to communicate pandemic trends and statistical findings.
Microsoft Azure Fundamentals (AZ-900)
In Progress
June 1, 2026 – Present
Data Analyst Internship Certificate
Edverciity by LiveTechSkill
January 1, 2024 – January 1, 2025
SQL for Data Analysis
Coursera/Udemy
January 1, 2024 – Present
Python for Data Science and Machine Learning
Udemy
January 1, 2024 – Present
Achieved a perfect score, indicating excellent proficiency in Power BI.
Strengths
Limitations
Cultural Fit Analysis
The candidate's projects demonstrate a proactive and self-driven learning attitude, tackling diverse datasets (e-commerce, COVID-19, retail inventory). The internship experience aligns well with the target Data role, showing practical application of skills. The pursuit of an AZ-900 certification indicates an interest in cloud technologies relevant to modern data roles. The breadth of tools and technologies used (Python, SQL, Azure, Power BI, Excel) suggests adaptability and a willingness to learn new tools.
Soft Skills & Operational Fit
The candidate's resume highlights a 'results-driven' approach and 'demonstrated ability to build scalable data pipelines, automate reporting workflows, and deliver actionable insights.' The psychometric test score of 312/500 suggests average performance in logical reasoning, work attitude, stress handling, and team collaboration, which could be an area for further exploration during interviews. The English test score of 77/100 indicates good communication clarity.