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Junior AI Engineer with strong Python and Machine Learning skills
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented fresher with a strong foundation in programming languages including Python, Java, C and SQL. Skilled in data structures, algorithms, and basic software development concepts. Quick learner with a passion for building efficient solutions and contributing to innovative tech projects.
JNTUH - Manthani
B.Tech - CSE · Computer Science Engineering
August 1, 2021 – June 30, 2025
MSR Junior College
Intermediate
N/A – May 31, 2021
Vasavi High School
SSC
N/A – May 31, 2019
Personal Finance Tracker
November 1, 2025 – December 1, 2025
Developed a Python application to track income, expenses, and savings with automated category classification. Implemented data visualization using Matplotlib and Pandas to display monthly trends and budget summaries. Enabled personalized alerts and recommendations to improve budgeting and financial decision-making. Designed a simple, user-friendly interface for easy navigation and real-time updates.
Enhancing Privacy in Taxi Trajectory Location Data
March 1, 2025 – April 1, 2025
Applied machine learning techniques to anonymize taxi trajectory data while preserving usability for traffic analysis. Implemented data perturbation and clustering methods to reduce re-identification risk of drivers and passengers. Evaluated privacy-utility trade-offs using metrics such as spatial distortion and trajectory similarity. Proposed a scalable privacy-enhancing framework applicable to large urban mobility datasets.
Brain Tumor Classification Using CNN
January 1, 2025 – March 1, 2025
Developed a Convolutional Neural Network (CNN) model to classify brain tumor types from MRI scans with high accuracy. Preprocessed and augmented a dataset of over 3,000 MRI images to improve model robustness. Achieved over 92% accuracy on test data, demonstrating potential for automated medical diagnosis assistance. Visualized feature maps and performance metrics to interpret model predictions and validate results.
Generative AI
GUVI
June 1, 2026 – Present
Industry Project Certificate
TCS ION
June 1, 2026 – Present
Python 101 for Data Science
IBM
June 1, 2026 – Present
Pragati: Path to Future
Infosys
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in diverse applications of Python, from medical imaging to urban mobility and personal finance. This breadth of interest suggests adaptability and a willingness to explore different problem domains. The focus on academic projects aligns with a learning-oriented culture. However, the lack of professional experience means there's no direct evidence of fitting into a corporate work culture or handling real-world project constraints.
Soft Skills & Operational Fit
The candidate lists communication, team collaboration, and problem-solving as soft skills. Project descriptions indicate an ability to work on structured problems and present findings. However, without professional experience or specific examples of collaboration, it's difficult to fully assess operational fit in a team environment or under pressure. The academic nature of projects suggests a structured learning approach.