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Full Stack Java & Python Developer with Machine Learning experience and strong web development skill
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated engineering student with a strong foundation in Java, Python, and web technologies. Experienced in developing machine learning models for crop yield prediction and building full-stack web applications for food donation systems. Eager to apply technical skills and problem-solving abilities to impactful software development and data science challenges.
Jain College of Engineering
Bachelor of Engineering
August 1, 2022 – June 30, 2026
Swami Vivekanand PU College
PU
June 1, 2020 – May 31, 2022
Adarsha Vidyalaya
School
June 1, 2019 – May 31, 2020
Jspiders
Java Full Stack Intern
November 1, 2025 – Present
India
Area Based Crop yield prediction using ML
June 1, 2025 – June 1, 2026
Area-based crop yield prediction using machine learning (ML) involves training models on historical data like weather, soil conditions, and satellite imagery to forecast crop yields for a specific region. With the advancement of Data Science, Machine Learning offers promising solutions for predicting suitable crops based on Area specific parameters. Giving Accuracy to show how well the model performs compared to traditional methods.
Food Donation
December 1, 2024 – February 1, 2025
Allow donors, recipients and admins to sign up, login and manage profiles. Donors can offer food and recipients can search for available donation.
Java Programming
Infosys Springboard
June 1, 2026 – Present
Web Development
freeCodeCamp
June 1, 2026 – Present
Cloud AI
IBM SkillsBuild
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in both data science/ML and web application development, indicating a breadth of technical curiosity. The internship and certifications suggest a proactive approach to skill acquisition, which aligns with a growth-oriented culture. However, the limited professional experience means cultural fit is largely based on academic and self-driven learning initiatives.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, problem-solving, and leadership as interpersonal skills. The academic projects and internship suggest an ability to work within defined project scopes. However, without specific assessment data, the operational fit and depth of soft skills cannot be fully evaluated.