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Assessing your cultural and operational fit
Data Science with less than a year in Data Analysis & Machine Learning
Highly motivated and results-driven B.Tech Computer Science student with a strong foundation in data science and machine learning. Experienced in developing interactive dashboards with Power BI, automating data pipelines, and applying machine learning algorithms for classification and prediction. Proven ability to translate complex data into actionable insights and build intelligent systems for real-world applications.
GITAM University
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
Aditya Junior College
MPC
June 1, 2020 – May 31, 2022
GWING Software Technologies
Power BI Analyst Intern
May 1, 2025 – June 1, 2025
India
AICTE–EduSkills-Altair
Data Science Intern
April 1, 2025 – June 1, 2025
India
Virtual Piano & Drums Using Hand Tracking
June 24, 2026 – Present
• Built a virtual piano and drum system using Python, OpenCV, MediaPipe, and PyGame with hand-gesture control and real-time sound playback.
View ProjectCrime Scene Detection Using CNN
June 24, 2026 – Present
• Developed a CNN-based surveillance system using YOLOv8 object detection and facial emotion recognition for automated crime monitoring and real-time alert generation.
View ProjectHealthcare Data Analysis using Power BI
June 24, 2026 – Present
• Designed an interactive dashboard in Power BI to analyze hospital visitor patterns and patient demographics. • Applied DAX to calculate KPIs and create measures for insights on visit timings, wait times, satisfaction scores, and department referrals.
View ProjectData Science for Engineers
NPTEL
March 1, 2025 – Present
Introduction to Data Analytics
IBM (Coursera)
March 1, 2025 – Present
The candidate achieved a perfect score (100%) on the 'Application Developer — Microsoft Analytics (Power BI)' test, indicating strong proficiency in Power BI.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning new technologies (CNN, YOLOv8, MediaPipe, Power BI). The internships align well with the target role of Data Analytics Lead / Data Scientist, showing a clear career interest. The certifications further reinforce a commitment to continuous learning in data science. However, the experience level is entry-level, which might require significant mentorship for a lead role. The diversity of projects (computer vision, healthcare analytics) indicates a broad interest in applying data science across different domains.
Soft Skills & Operational Fit
The psychometric test score (239/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration. The English test score (65/100) indicates average communication clarity, grammar, and professional language usage. While the candidate has project experience, the operational fit for a senior role requires further validation of problem-solving under pressure and advanced collaboration skills.