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Data Analyst with less than a year in SQL, Power BI, and Python.
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Fresher Data Analyst with strong project-based skills in SQL (Microsoft SQL Server), Power BI, and Python. Independently built an end-to-end data pipeline and 4-dashboard BI report from a raw 40K+ row dataset — uncovering actionable publishing insights. Looking to bring the same discipline to a Data Analyst or BI Analyst role, turning messy data into decisions that move the business.
Kadi Sarva Vishwavidhyalaya
M.Sc. Information Technology · Information Technology
August 1, 2024 – June 30, 2026
Kadi Sarva Vishwavidhyalaya
Bechelor in Computer Application (BCA) · Computer Application
August 1, 2020 – June 30, 2023
Prerana Vidhyalaya
STD-12 · Commerce
June 1, 2019 – May 31, 2020
YouTube Trending Video Analysis
January 1, 2024 – January 1, 2025
End-to-End Data Analysis Project involving ingesting and cleaning a 40,000+ row Kaggle dataset using TRY_CAST and NULLIF in SQL Server to reduce null/type errors. Built a manual category lookup table and joined it across the dataset, replacing 16 numeric IDs with readable labels. Applied RANK() OVER PARTITION BY and DATEPART to identify the top 3 trending channels per category and pinpoint 5–7 PM as the highest-engagement publishing window. Designed 4 interactive Power BI dashboards covering engagement trends, channel performance, and time-based patterns using DAX measures to surface engagement rate as the #1 performance metric. Documented the full project end-to-end (SQL scripts → BI reports) and published to GitHub.
View ProjectCultural Fit Analysis
The candidate's single project demonstrates a focused interest in data analysis. The project's scope, from data cleaning to dashboard design, aligns well with a Data Analyst role. The academic background in Computer Application and Information Technology provides a relevant foundation. However, the lack of diverse projects or professional experience makes it difficult to fully assess cultural fit beyond a strong alignment with the technical aspects of the target role. The candidate is currently pursuing a Master's degree, which indicates a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate's project description highlights problem-solving, critical thinking, data storytelling, and self-directed learning, which are valuable soft skills for a Data Analyst role. The ability to independently complete an end-to-end project suggests a proactive and self-motivated work attitude. However, without psychometric test results, a comprehensive assessment of operational fit and stress handling is not possible.