IMDB Top 1000 Analysis
Conducted a comprehensive data analysis and visualization project on IMDB's Top 1000 movies, extracting insights into film trends and audience preferences.
3roles
22skills
4education
2credentials
About
AI/Machine Learning Engineer with a strong passion for leveraging AI to solve complex real-world problems. Experienced in developing scalable solutions and optimizing models for production environments, with a focus on innovative AI advancements.
Experience
Neuralace AI Training Intern
AWIGN Enterprises Pvt. LTD.
Dec 2024 - Mar 2025
Collected and prepared diverse multimodal datasets (images, videos, and audio) to train AI systems for assisting visually impaired individuals, ensuring ethical compliance and high-quality annotations while applying data augmentation techniques to enhance model performance.
Freelancer
AI Agentic workflow for SOUL AI
Jan 2025 - Present
Working on Project Nebula, contributing to innovative AI solutions.
AI Agentic Workflow for SOUL AI
SOUL AI
Jan 2025 - Present
Working on Project Nebula.
Education
Karnataka State Rural Development And Panchayat Raj University Gadag
Master of Science, Computer Science (Data Analytics)
Dec 2022 - Nov 2024
JT College Gadag
Bachelor of Science
June 2017 - Sep 2021
Karnataka State Rural Development And Panchayat Raj University, Gadag
Master of Science, Computer Science (Data Analytics)
Dec 2022 - Nov 2024
JT College, Gadag
Bachelor of Science
June 2017 - Sep 2021
Skills
Data analysisData visualizationPythonPower BIMS ExcelAI prompt generationSQLPytorchAWSTensorFlowNeural NetworksAI tools specialistData Analysis and VisualizationWeka ExplorerMicrosoft ExcelCNNYOLOFlaskRandom ForestClusteringData PreprocessingMultimodal Dataset Preparation
Projects
Netflix Analysis
Performed exploratory data analysis and clustering of similar content by matching text-based features.
Rental Bike Regression Analysis
Engineered a customer churn prediction model using Random Forest, achieving a 90% accuracy rate and a 15% reduction in churn, validated through cross-validation and hyperparameter tuning. Deployed the model using Flask for real-time predictions.
Vehicle Taillight Detection Using Deep Learning
Developed a real-time deep learning model for vehicle taillight detection optimized for diverse conditions to enhance autonomous driving safety, improving accuracy from 85% to 92%.
Rural Immersion
Conducted rural surveys, data collection, analysis, and visualization, along with spreading awareness.