Transforming complex data into actionable insights. Specialized in machine learning, deep learning, and building scalable AI solutions that drive business value.
Passionate about turning data into insights
I'm a dedicated Data Scientist with expertise in machine learning, statistical analysis, and building scalable AI solutions. With a strong foundation in Python, TensorFlow, and modern ML frameworks, I specialize in developing predictive models, computer vision systems, and natural language processing applications.
My approach combines technical expertise with business acumen, ensuring that every solution I develop not only performs well technically but also delivers measurable business impact. I'm passionate about staying current with the latest advancements in AI/ML and applying them to solve real-world problems.
My journey in data science and machine learning
Real-world applications of machine learning and data science
Built a conversational Mobile App using Flutter and AI models for MRI diagnosis
Developed a Resume Analyzer using NLP and ML models to analyze resumes and provide insights to the recruiter
Developed a Disease Detector & Treatment using NLP and ML models to detect diseases and provide treatment
Developed a Medical Chatbot using LLM to answer medical questions and provide treatment
Built a ResNet-based model to classify MRI brain scans into Tumor and No Tumor using transfer learning.
Interactive AI assistant that analyzes medical images and voice inputs, providing diagnostic insights along with spoken responses.
Built a ResNet-based model to classify MRI brain scans into Tumor and No Tumor using transfer learning.
Built a Flask web app with a RandomForest model to predict housing prices from key features via a user-friendly interface.
Built ML models to predict Titanic passenger survival using features like age, class, and gender with strong accuracy
Built a CNN model to classify vehicle images into 10 categories, deployed with Streamlit for real-time prediction.
Technologies & tools I work with
Professional certifications that validate my expertise
Packt
Comprehensive certification in neural networks using PyTorch, covering deep learning fundamentals, model building, training, and evaluation with real-world applications.
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IBM
Comprehensive certification in Artificial Intelligence, covering machine learning, deep learning, and intelligent systems using real-world tools and frameworks.
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Udemy
Comprehensive certification in Large Language Models (LLMs), covering transformer architectures, fine-tuning, prompt engineering, and real-world applications of generative AI.
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InsafDar
Comprehensive certification in Generative AI, covering foundational models, text and image generation, prompt design, and deployment of AI-driven creative solutions.
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University of Michigan
This certification provides a strong foundation in Python programming, covering variables, data types, control structures, functions, and essential programming concepts for beginners.
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University of Michigan
Advanced Python certification covering OOP, decorators, generators, file handling, and core libraries like NumPy and Pandas for practical applications.
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