Data Analyst with 1+ years in Java & Data Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with a strong foundation in SQL and Java, passionate about analyzing data, solving problems, and deriving meaningful insights.
KKR & KSR Institute of Technology & Sciences, Guntur, AP
B. Tech · Computer Science Engineering (AI & ML)
N/A – June 30, 2026
Techno Future India
Full Stack Java Intern
August 1, 2025 – Present
India
Aimer Society
Cyber Security, Data Visualization & Generative AI Intern
July 1, 2024 – July 1, 2024
India
Examination Seating Allocation System
June 20, 2026 – Present
Developed a web-based system to automatically allocate exam seating using AI/ML algorithms. Implemented Admin, Faculty, and Student modules with CSV uploads, seat allocation, and PDF report generation. Enabled students to search seats by roll number and faculty to view assigned invigilation duties.
Appointment Scheduling Web Application
June 20, 2026 – Present
Built a CRUD-based appointment system for booking and cancellation Designed and implemented MySQL database using JDBC connectivity Integrated frontend and backend logic with validation
Interactive Data Dashboards
June 20, 2026 – Present
Developed dashboards for IPL performance, crop production, and elections Cleaned and transformed datasets using Power Query Created reports to highlight trends and patterns
Full Stack Java
Techno Future India
August 1, 2025 – Present
Cyber Security & Data Visualization & Generative AI
Aimer Society
July 1, 2024 – Present
Cultural Fit Analysis
The candidate has engaged in diverse academic projects and internships covering full-stack development, cybersecurity, data visualization, and generative AI. This breadth of exposure suggests an openness to learning and adapting to different technical domains. The target role of 'Data Analyst' aligns well with the data visualization and data cleaning experience, indicating a focused interest. The academic projects, while diverse, show a consistent thread of data handling and presentation, which is a positive indicator for cultural fit within a data-centric team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured tasks and deliver functional components. The academic background in Computer Science Engineering (AI & ML) suggests a foundational understanding of analytical thinking. However, without specific psychometric or English test results, it's difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration beyond what's inferred from project descriptions.