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Entry-level Python Engineer with Machine Learning and Data Analysis skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Recent B.Tech graduate skilled in Python, Machine Learning, and data analysis tools like Power BI and Excel. Experienced in developing web applications with Django for fraud detection and Python-based projects for fingerprint analysis. Eager to apply problem-solving and communication skills as a Data Analyst or BI Developer.
Samskruti College of Engineering & Technology, Ghatkesar
B.Tech · Computer Science
N/A – Present
Narayana Junior College, Tarnaka
Intermediate (Class 12)
N/A – Present
Pratibha High School, Nacharam
SSC (Class 10)
N/A – Present
Fraud App Detection using Machine Learning (Django)
June 1, 2026 – Present
Developed a web application to detect fraudulent apps on Google Play Store using Python & ML algorithms. Implemented a Django backend with model training and integrated it with a responsive frontend.
Maximizing Fingerprint Frequency Estimation (Mini Project)
June 1, 2026 – Present
Built a Python-based project for fingerprint image analysis. Focused on feature extraction and pattern recognition for biometric systems.
Python Programming
Oasis Infobyte
June 1, 2026 – Present
Data Analytics
IBM
June 1, 2026 – Present
UI Developer
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects indicate an interest in data analysis and machine learning applications, which aligns with a problem-solving oriented culture. The academic nature of projects and lack of professional experience means there is insufficient data to fully assess cultural fit in a corporate setting. The certifications in Python, Data Analytics, and UI Development show a breadth of interest, but also a potential lack of deep specialization for a senior Python Engineer role.
Soft Skills & Operational Fit
The candidate lists 'Communication' and 'Problem Solving' as soft skills. However, there is no assessment data or detailed experience descriptions to validate these claims or assess operational fit. The candidate's profile suggests an academic background with limited professional experience, which may require significant mentorship in a professional operational environment.