Python Engineer with less than a year in Machine Learning, Django & 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
To obtain a challenging position where I can apply my skills in Python, Machine Learning, Django, and web development while enhancing my technical knowledge and contributing to organizational growth.
Moodlakatte Institute of Technology Kundapura
CSE(DS) · Computer Science and Engineering (Data Science)
N/A – June 30, 2026
Karunadu Technologies Private Limited
Python & ML Intern
February 1, 2026 – May 31, 2026
Bengaluru, Karnataka, India
Deep Learning Driven-Optimized Brain Tumor Detection and Segmentation Using UNet++
June 22, 2026 – Present
Detected and segmented brain tumors from MRI images using deep learning.
Crop Recommendation System
June 22, 2026 – Present
Recommended suitable crops based on soil and climate data using ML and Django.
Personality Classification System
June 22, 2026 – Present
Classified users as Introvert, Extrovert, or Ambivert using machine learning and Django.
Life Insurance Premiums Prediction using Machine Learning
June 22, 2026 – Present
Developed a machine learning model to estimate life insurance premiums based on customer data.
Fundamentals Using Python
Infosys Springboard
January 1, 2025 – Present
Data Structures and Algorithms using Java
NPTEL
January 1, 2025 – Present
Google Data Analytics
Coursera
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic background in Computer Science and Engineering (Data Science) and project diversity in ML/DL indicate an interest in analytical and problem-solving roles. The internship, though brief and described as 'learner with hands-on project experience,' shows an initiative to gain practical exposure. The focus on academic projects suggests a collaborative learning environment. However, the lack of diverse professional experience makes it difficult to fully assess cultural fit beyond a learning-oriented environment.
Soft Skills & Operational Fit
The candidate's profile suggests a foundational interest in data science and machine learning, which aligns with analytical problem-solving. However, the limited professional experience and academic nature of projects indicate a need for significant mentorship and structured operational guidance in a professional setting. The candidate is still pursuing a bachelor's degree, which implies a learner-centric approach to work.