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Data Science with 1+ years in Machine Learning & Deep Learning
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 student with a strong interest in Data Science, Machine Learning, and Software Development. Skilled in Python, OpenCV, and Machine Learning/Deep Learning concepts, with hands-on experience in developing practical projects. Passionate about applying analytical and programming skills to solve real-world problems and continuously learning new technologies.
R L Jalappa Institute of Technology, Doddaballapura
Bachelor of Engineering (B.E)
August 1, 2022 – June 30, 2026
Mahadeva PU College
PU College
June 1, 2020 – May 31, 2022
SB High School
SSLC / High School
June 1, 2019 – May 31, 2020
Unknown
Frontend Development Internship – Library Management System
July 13, 2025 – August 10, 2025
India
COVID-19 Prediction Using Machine Learning
August 10, 2025 – June 1, 2026
Developed ML-based predictive model with 98% accuracy, supporting proactive healthcare resource planning.
Deep Learning-Based Video Surveillance System for Suspicious Activity Detection
August 10, 2025 – June 1, 2026
Developed an AI-powered suspicious activity detection system using deep learning, achieving 87% accuracy.
Potato Leaf Disease Detection System
August 10, 2025 – June 1, 2026
Developed a deep learning-based potato leaf disease detection system using CNN. Built a Stream lit web interface for image upload and disease prediction. Classified potato leaves into Early Blight, Late Blight, and Healthy categories with 93% accuracy.
Heart Disease Prediction System
August 10, 2025 – June 1, 2026
Developed a machine learning model to predict heart disease risk using patient medical attributes. Applied data preprocessing, feature engineering, and classification algorithms for prediction. Evaluated model performance using accuracy and confusion matrix for reliable prediction.
Face Mask Detection using CNN
August 10, 2025 – June 1, 2026
Built a deep learning-based Face Mask Detection system using CNN and MobileNetV2. Performed image preprocessing and classification for mask/no-mask detection. Deployed the model using stream lit for real-time prediction with confidence score.
HR Attraction Prediction
August 10, 2025 – June 1, 2026
Developed a machine learning model using Python and Scikit-learn to predict employee attrition based on workplace attributes and behavior, helping HR identify at-risk employees.
Customer Churn Prediction
August 10, 2025 – June 1, 2026
Developed a machine learning model using Python, Pandas, NumPy, and Scikit-learn to predict customer churn using the Random Forest algorithm, helping businesses identify customers likely to leave.
Hackathon Participant – Code Carnage (24 Hours)
Unknown
April 11, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in applying data science to various real-world problems, including healthcare, agriculture, and HR. This diversity indicates a proactive and curious mindset, which aligns well with an innovative and learning-oriented culture. The academic and personal projects demonstrate initiative and a passion for the field. The frontend development internship, while not directly data science, shows a willingness to explore different technical areas and contribute to a broader software development context. However, the experience level is very junior, which might require significant mentorship in a senior-level role.
Soft Skills & Operational Fit
The candidate lists communication, team collaboration, problem-solving, creativity, and time management as soft skills. Project descriptions suggest an ability to work on defined tasks and deliver results (e.g., achieving specific accuracy metrics). The hackathon participation further supports teamwork and problem-solving. However, without direct interview data, the depth of these soft skills and their operational fit cannot be fully assessed.