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Data Analyst with less than a year in Data Analysis, SQL, Python & Data Visualization
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Assessing your cultural and operational fit
Data Analyst Intern with hands-on experience in data analysis, SQL, Python, and data visualization. Skilled in performing Exploratory Data Analysis (EDA), data cleaning, and generating insights using Pandas, NumPy, Matplotlib, and Seaborn. Passionate about transforming raw data into meaningful insights to support business decision-making and improve organizational performance.
Indira Gandhi National Open University
Bachelor Of Arts (Honours) · English
August 1, 2022 – June 30, 2025
Luminar Technolab.
Data Analyst Intern
October 1, 2025 – April 30, 2026
Kalamassery, Kerala, India
Hospital Emergency Room Analysis (Power BI)
April 1, 2025 – April 30, 2026
Analyzed 9,000+ rows of Hospital Emergency Room data using Power BI to track patient demographics, wait times, and satisfaction scores. Performed data cleaning and transformation using Power Query to ensure accuracy and consistency of hospital records. Used DAX functions to build calculated measures for deeper analysis of patient flow. Developed interactive dashboards to identify trends in admissions, department referrals, and operational efficiency.
View ProjectMobile Sales Data Analysis (EDA)
March 1, 2025 – March 31, 2026
Conducted Exploratory Data Analysis (EDA) on a mobile sales dataset to identify sales trends and top-performing brands. Cleaned and processed raw data using Pandas and NumPy to improve data quality. Created visualizations using Matplotlib and Seaborn to highlight patterns and insights in sales performance. Generated data-driven insights that help understand customer preferences and market trends.
View ProjectJob Salary Prediction Analysis (SQL)
March 1, 2025 – March 31, 2026
Analyzed 250,000+ Job Salary Prediction Dataset using SQL to identify key factors influencing salaries across roles and industries. Applied SQL Clauses and aggregations like GROUP BY, ORDER BY, SELECT, WHERE, HAVING to analyze salary trends based on experience, skills and company size. Gained insights into how factors like certifications, and industry type impact overall salary patterns.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a willingness to explore different datasets and tools (Python, SQL, Power BI), indicating adaptability. The internship experience suggests an ability to work in a structured environment. However, the overall experience level is very junior (internship only), and the academic background in English (rather than a quantitative field) might require additional foundational support in a data-centric team. The breadth of skills is good for an entry-level role, but the depth is yet to be proven.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, team collaboration, analytical thinking, decision-making, and attention to detail as soft skills. These are crucial for a Data Analyst role. The project descriptions indicate an ability to interpret data and present insights, which aligns with operational needs. However, without specific examples or interview data, the depth of these soft skills cannot be fully assessed.