Data Analyst with less than a year in SQL, Python & Power BI
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Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in SQL, Python, and Power BI. Skilled in data cleaning, exploratory data analysis, and dashboard creation to generate actionable insights. Seeking a Data Analyst Internship to apply analytical skills in a real-world environment.
Hindustan Institute of Technology
Master of Computer Applications · Computer Applications
August 1, 2024 – June 30, 2026
Shrimati Indra Gandhi College
Bachelor of Computer Applications · Computer Applications
N/A – June 30, 2024
Mind Mate – A Web-Based Mental Wellness Application for Students
June 23, 2026 – Present
Developed a web-based mental wellness platform for students, building the frontend with HTML, CSS, JavaScript, and Bootstrap, and implementing backend logic with PHP and MySQL database management. Focused on providing accessible mental health support tools and enhancing user experience.
E COMMERCE
June 23, 2026 – Present
Implemented an e-commerce project. The provided URL points to the GitHub repository for this project.
View ProjectCultural Fit Analysis
The candidate's academic background in Computer Applications and stated interests in business intelligence, data analysis, and dashboard creation align well with a data-driven organizational culture. The diversity of academic projects (web application, e-commerce) and the internship experience, even if basic, suggest an openness to different types of work and learning. The objective to secure a Data Analyst Internship indicates a proactive approach to career development. However, without more detailed project contributions or team experiences, a comprehensive cultural fit assessment is limited.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on defined tasks and contribute to application design and user experience. The 'Mind Mate' project indicates an interest in developing solutions with social impact. The 'Intern - OpenWeaver' experience, though basic, shows exposure to real-time project workflows and data handling tasks, suggesting an ability to adapt to operational environments. However, the brevity of descriptions limits a deeper assessment of collaboration or problem-solving approaches.