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Software Engineer with less than a year in Python & Web Technologies
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science and Engineering graduate with strong foundations in data structures, algorithms, and object-oriented programming, experienced in building scalable applications using Java and modern web technologies. Proven ability to develop machine learning-driven solutions and data-centric applications, translating complex problems into efficient, production-ready systems. Demonstrated experience in designing predictive models and full-stack web applications, with a focus on performance, usability, and clean code practices. Proficient in SQL, application development, and analytical problem-solving, with hands-on exposure to real-world project development during internship.
Channabasaveshwara Institute Of Technology
Bachelor of Engineering · Computer Science & Engineering
August 1, 2019 – June 30, 2023
Vidya IND PU College
PUC
June 1, 2015 – May 31, 2017
Don Bosco School
SSLC
June 1, 2013 – May 31, 2015
Euonia Labs
Software Developer Intern
September 1, 2021 – December 1, 2021
India
Medical Cost Prediction Project
June 19, 2026 – Present
Built predictive models using Python to estimate healthcare costs based on user attributes such as age, BMI, and medical history. Performed data cleaning, preprocessing, and feature engineering to improve model accuracy. Applied statistical analysis and regression techniques to identify key cost-driving factors. Evaluated model performance using validation techniques, ensuring reliable predictions. Translated analytical outputs into actionable insights for cost estimation and planning.
Smart Agriculture System (ML-Based)
June 19, 2026 – Present
Analyzed soil and climate datasets to derive insights for optimizing crop productivity. Developed data-driven recommendation models for irrigation and fertilizer usage. Implemented predictive analytics techniques to improve agricultural decision-making. Identified patterns in environmental data to enhance resource efficiency and yield outcomes.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in diverse domains (healthcare, agriculture) and an ability to apply technical skills to real-world problems. The internship experience shows exposure to a professional development environment. However, the overall breadth of experience is limited to an internship and academic projects, which might require more mentorship and integration into a senior team.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, debugging, and collaboration in an Agile environment. The project descriptions indicate an ability to work with complex data and translate technical solutions into practical applications. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.