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Data Analyst Intern with less than a year in Power BI & SQL
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Motivated and detail-oriented Data Analyst fresher with hands-on experience in academic and personal projects across domains like HR, sales, and public health. Skilled in Power BI dashboard creation, SQL (PostgreSQL), and Python for data analysis and visualization. Developed multiple interactive dashboards and performed data analysis by writing SQL queries and transforming raw data into meaningful insights. Familiar with the end-to-end data workflow, including data cleaning, basic ETL processes, and generating reports for better decision-making. Eager to apply analytical skills, learn new tools, and contribute to data-driven business solutions.
Govt Geetanjali Girls PG College (Barkatullah University)
Bachelor of Computer Applications (BCA)
August 1, 2022 – June 30, 2025
School of Excellence, Betul
10th
N/A – May 31, 2020
School of Excellence, Betul
12th
N/A – May 31, 2022
Ramam Corporation of Group
Data Analyst Intern
January 1, 2024 – March 1, 2024
Bhopal, Madhya Pradesh, India
Sales Performance Dashboard
June 18, 2026 – Present
Built interactive Power BI sales dashboard analysing sales by city, time, brand and product with KPIs Total Sales, Transactions, Quantity, and Avg Price. Performed trend, geographic, and customer behaviour analysis using slicers and DAX. Designed interactive slicers for Year, Month, Brand and Date-wise analysis to support data-driven sales decisions.
View ProjectHR Analytics Dashboard
June 18, 2026 – Present
Designed interactive Power BI dashboard analysing employee attrition across 5+ departments with salary trends, gender diversity ratios, and workforce performance metrics for executive-level HR decision-making. Built 8+ KPI cards (attrition rate, average salary, headcount, experience bands) and identified department-wise attrition hotspots using drill-through filters and slicers, enabling targeted retention strategies. Cleaned and transformed raw HR data using Power Query, standardizing formats and removing inconsistencies to improve data accuracy and reduce manual preprocessing time.
View ProjectCOVID-19 India SQL Analysis
June 18, 2026 – Present
Wrote 8 analytical SQL queries using JOINS, GROUP BY, aggregations, ROUND, WHERE, and ORDER BY to extract insights on top affected states, death vs recovery rates, and vaccination coverage across all 36 Indian states. Designed normalized 2-table relational schema in PostgreSQL storing state-wise COVID-19 cases, deaths, recovery rates, and vaccination data across all 36 Indian states. Identified low recovery rate states and flagged high active case zones using targeted WHERE filters, enabling data-driven understanding of regional COVID-19 impact and vaccination effectiveness.
View ProjectPower BI for Data Visualization
Simplilearn
June 1, 2026 – Present
Introduction to Data Analytics
Skill Course
June 1, 2026 – Present
Advanced Excel
Skill Course
June 1, 2026 – Present
Introduction to Python Programming
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like HR, sales, and public health, indicating a broad interest in applying data analytics to various business problems. The listed soft skills (communication, problem-solving, teamwork) align with typical team-oriented data analyst roles. The pursuit of multiple certifications and a BCA degree demonstrates a proactive learning attitude, which is a positive cultural fit for growth-oriented environments. The experience level is appropriate for an intern role, showing a foundational alignment with entry-level data teams.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, attention to detail, and teamwork through project descriptions and internship experience. Their quick learning ability and time management skills are self-declared. The academic projects and internship show an operational fit for roles requiring data manipulation, visualization, and basic analytical reporting. However, the lack of advanced analytical techniques or complex problem-solving scenarios in the provided data suggests a need for further development in operational depth.