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Results-driven MCA graduate with hands-on experience in Python, SQL, machine learning, and cloud computing. Proven ability to build and deploy ML models for classification, clustering, and image processing. Published IEEE research on deep learning for agricultural quality assessment. Google Cloud certified with strong analytical, debugging, and problem-solving skills. Seeking a software development or data science role to contribute to impactful, real-world projects.
Amrita Vishwa Vidyapeetham, Mysore
MCA · Computer Applications
August 1, 2024 – June 30, 2026
Amrita Vishwa Vidyapeetham, Mysore
BCA · Computer Applications
August 1, 2021 – June 30, 2024
Vidyanikethana PU College, Kodagu
PUC · PCMC
June 1, 2019 – May 31, 2021
Lions High School, Kalathmad, Kodagu
SSLC
June 1, 2016 – May 31, 2017
Student Performance Analysis Using Machine Learning
June 17, 2026 – Present
Developed an ML system to analyze and predict student performance using K-Means clustering and KNN, Decision Tree, and Random Forest classifiers. Performed data preprocessing, feature engineering, and visualized performance patterns using Python libraries (Pandas, Matplotlib, Seaborn).
Microplastic Detection in Bottled Water
September 1, 2025 – January 1, 2026
Designed an IoT-enabled microplastic risk detection system using fuzzy inference modeling (Sugeno model). Integrated sensor data to compute contamination risk scores; validated results using FTIR, SEM, and EDAX analysis. Analyzed impact of storage conditions (sunlight, temperature, duration) and container materials (PET vs. stainless steel).
Almond Quality Assessment Using Deep Learning
August 1, 2023 – July 1, 2024
Built a CNN-based deep learning model to classify almond quality from images, achieving high accuracy in visual grading. Handled full ML pipeline: dataset preparation, preprocessing, model training, and evaluation using Python, TensorFlow/Keras. Co-authored a research paper published in IEEE on the model's effectiveness for agricultural quality control applications.
Google Cloud Computing Foundations
August 1, 2025 – Present
Fundamentals of Software Engineering
Infosys Springboard
March 1, 2025 – Present
Introduction to Modern AI
Cisco
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI/ML to diverse real-world problems, from environmental monitoring (microplastic detection) to agricultural quality control and student performance analysis. This diversity of application, coupled with a research publication, indicates a proactive and curious mindset. The certifications in 'Introduction to Modern AI' and 'Google Cloud Computing Foundations' show a commitment to continuous learning and staying current with industry trends. The target role of 'AI Engineer' aligns well with the candidate's project experience and technical skills, particularly in deep learning and ML model development. However, the lack of professional experience means cultural fit in a corporate setting, including collaboration and agile methodologies, is largely unproven.
Soft Skills & Operational Fit
The candidate's participation in NCC and academic research on SDGs suggests discipline, leadership potential, and a commitment to impactful work. The project descriptions indicate an ability to work through a full ML pipeline, from data preparation to model evaluation, which is crucial for operational fit. However, without direct work experience, the ability to handle stress, team collaboration in a professional setting, and communication clarity in a corporate environment are yet to be fully assessed.