Data Analyst with less than a year in Data Analytics & Web Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science Engineering graduate with hands-on experience in Python, SQL, Power BI, and web development. Skilled in data analysis, dashboard creation, and machine learning projects, with a strong ability to extract insights and solve real-world problems using data. Passionate about analytics and business intelligence, and eager to contribute as a Data Analyst.
Shri Madhwa Vadiraja Institute of Technology and Management (SMVITM)
B.E. · Computer Science and Engineering
N/A – June 30, 2026
Shamili PU College
PUC(PCMB)
N/A – Present
St. Francis Xavier English Medium School
Class X
N/A – Present
Apex Byte
Data Analytics Intern
May 1, 2026 – June 15, 2026
India
MindMatrix
Android App Development Intern
January 1, 2026 – Present
India
Namma HomeStay – Android App Development
January 1, 2026 – Present
Developed a homestay booking app using Android Studio and Firebase with booking and authentication features.
ResQ Emergency Service Platform
January 1, 2026 – Present
Developed an emergency service platform using HTML, CSS, JavaScript, and Firebase with booking and real-time management features.
Medical Image Super-Resolution Using Hybrid Ensemble Model
January 1, 2025 – June 1, 2026
Developed a hybrid model using SRCNN, EDSR, and ESRGAN to enhance MRI image resolution.
Netflix Interactive Dashboard
January 1, 2025 – December 31, 2025
Built a Power BI dashboard to visualize Netflix content trends, ratings, and genres.
Customer Churn Analysis Dashboard
January 1, 2025 – December 31, 2025
Developed a Power BI dashboard to analyze customer churn and retention patterns.
Scrap Manager
January 1, 2024 – December 31, 2024
Developed a scrap management platform using HTML, CSS, PHP, and MySQL with user and collector modules.
Cultural Fit Analysis
The candidate's academic background in Computer Science and Engineering, coupled with diverse projects ranging from mobile app development to data analytics and machine learning, indicates a broad technical interest and adaptability. The internship experience, though short, shows an initiative to gain practical skills. The variety of projects suggests a willingness to explore different domains, which can be a positive for cultural fit in a dynamic environment. However, the focus is heavily academic, and real-world team collaboration or project management experience is limited.
Soft Skills & Operational Fit
The candidate lists problem-solving, teamwork, communication, and time management as soft skills. While these are crucial for operational fit, the provided data does not offer specific examples or assessments to validate their application in a professional setting. The academic projects suggest an ability to work on defined tasks, but collaboration and complex problem-solving in a team environment are not explicitly detailed.