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Software Engineer with less than a year in Machine Learning, Java, and SQL.
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 Computer Science graduate with a passion for technology and software engineering. Proven ability to learn new technologies quickly, demonstrated by completing multiple academic projects in Java and SQL. Seeking an entry-level position to contribute to a collaborative team.
St. Vincent Pallotti College of Engineering and Technology
B.Tech · CSE(Data Science)
August 1, 2023 – June 30, 2027
Late Balaji Patil Borkar College of Art and Science
12th
June 1, 2021 – May 31, 2023
Bharat Vidyalay Nawargoan
10th
June 1, 2020 – May 31, 2021
Breast Cancer Prediction
June 1, 2026 – Present
Built a predictive model to classify tumors as benign or malignant using supervised learning algorithms.
Car Price Prediction
June 1, 2026 – Present
Created a regression-based model to estimate car prices based on features like brand, mileage, and year. Performed data cleaning, feature engineering, and used algorithms such as Linear Regression to achieve accurate predictions.
Medical Management System
January 1, 2016 – January 1, 2020
Developed a web-based system to manage patient records, appointments, and medical history. Implemented secure data storage using MySQL and integrated backend logic with PHP and Python for efficient data handling and reporting.
Comment Toxicity Prediction
January 1, 2013 – Present
Designed a text classification model to detect toxic comments using NLP techniques like TF-IDF. Trained models to identify harmful content and improve online moderation systems.
Cloud Computing Certification
NPTEL
June 1, 2026 – Present
R language certification
iBase Techonology
June 1, 2026 – Present
Deep Learning certification
NVIDIA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in data science and machine learning, which aligns with modern tech roles. Participation in extra-curricular activities suggests a willingness to engage beyond core academic tasks. The target role 'Software Engineer' is broad, and the candidate's data science focus provides a specific lens. The candidate is an entry-level student, so cultural fit is primarily assessed on academic engagement and stated interests.
Soft Skills & Operational Fit
The candidate shows potential for teamwork through hackathon participation and contributing to college events. The 'ABOUT ME' section indicates a desire to contribute to a collaborative team. However, without professional experience, operational fit is largely unproven.