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Data Analyst with less than a year in SQL & 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
Data Analyst with hands-on experience in SQL, Power BI, Excel, and Python for data analysis and reporting. Skilled in data cleaning, exploratory data analysis, dashboard development, and building data pipelines using cloud technologies. Experienced in performing ETL processes and working with cloud platforms such as AWS for data processing and storage. Currently completing the Google Data Analytics Professional Certificate and working as a Data Analyst Intern at Systems. Passionate about transforming raw data into actionable insights to support business decision-making.
University Of Okara
Bachelor's Degree · Software Engineering
August 1, 2021 – June 30, 2025
PGC Ellahabad
ICS (Intermediate in Computer science) · Computer science
June 1, 2019 – May 31, 2021
VSI Data Analytics, Systems Limited
Data Analyst
December 1, 2025 – Present
India
Project 1 - Sales Data Analysis Dashboard
June 23, 2026 – Present
• Collected and cleaned raw sales data using Excel and SQL queries. • Performed data transformation and aggregation to calculate key KPIs such as total sales, revenue growth, and customer trends. • Built an interactive Power BI dashboard to visualize sales performance by region, product, and time period. • Implemented data modeling and created DAX measures for KPI calculations.
Project 2 - ETL Data Pipeline Using AWS
June 23, 2026 – Present
• Built an ETL pipeline to extract raw data, transform it using Python and SQL, and store it in AWS cloud storage. • Automated data processing workflows to ensure efficient data loading and transformation. • Used AWS services to manage cloud-based data storage and processing. • Prepared cleaned datasets for analytics and reporting.
Project 3 - ETL Pipeline using Databricks
June 23, 2026 – Present
• Developed scalable data pipelines using PySpark on Databricks, integrating with Amazon S3 for data ingestion. • Performed data transformation, filtering, and enrichment using Spark DataFrames. • Automated ETL workflows and improved data processing efficiency for large datasets. • Ensured data quality by handling null values, duplicates, and schema inconsistencies.
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a good diversity of tools and platforms (Power BI, AWS, Databricks, PySpark, SQL, Python, Excel), which indicates adaptability and a willingness to learn new technologies. The target role of 'Data Analyst' aligns well with their internship experience and project work. The pursuit of a Google Data Analytics Professional Certificate further reinforces their dedication to the field. However, all projects are personal, and the internship is current, suggesting limited real-world team collaboration experience beyond the stated bullet point.
Soft Skills & Operational Fit
The candidate demonstrates a foundational understanding of data analysis workflows, including data cleaning, transformation, and visualization. Their project experience highlights problem-solving and data-driven decision-making. Collaboration is mentioned in their internship description, suggesting an ability to work in a team environment. However, without specific psychometric test results, a deeper assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.