Garwansh Jangam

Ai Ml Developer @Warrgyizmorsch

Udaipur, IN

Developed and optimized 8+ deep learning models, specializing in architectures like ResNet, DenseNet, and VGG (VGG-16, VGG-19), achieving 90%+ accuracy in advanced image recognition and classification tasks.Conducted research on generative AI and deep learning, applying 10+ generative models to innovative solutions that improved model performance by 20%+ across multiple projects.Delivered impactful machine learning solutions for diverse applications, including heart disease detection, brain tumor detection, image forgery detection, and credit card fraud detection, achieving a 15-30% improvement in predictive accuracy across domains.Created 6+ forecasting models, leveraging ARIMA, LSTM, and Prophet, achieving 95%+ accuracy in time series predictions for business and scientific applications.Utilized Power BI and Tableau to produce 20+ insightful reports, driving data-driven decision-making and enhancing communication of complex findings to stakeholders.Authored 10+ research papers and technical documentation, effectively translating complex machine learning concepts for technical and non-technical audiences.Worked with Java, JavaScript, and Cisco networking tools, integrating machine learning solutions across 5+ projects.Leveraged IBM SPSS and WEKA for statistical analysis and model evaluation, conducting 10+ experiments to validate and optimize robust machine learning methodologies

Vidya Bhawan Polytechnic College

Diploma in Computer Science, Computers

Mohanlal Sukhadia University

Bachelor's of Computer Applications, Computer Applications