About
I am an enthusiastic Data Scientist with years of hands-on experience in building intelligent systems, data-driven solutions, and smart web integrations.
I create smart AI-driven systems that are innovative, scalable, and impactful.
With years of professional experience in data science and machine learning, I’ve honed the ability to transform complex data into actionable insights and real-world solutions. I specialize in building end-to-end intelligent systems that integrate seamlessly with business operations across diverse industries
My expertise spans key areas such as data preprocessing, feature engineering, model development, evaluation, and deployment. I work confidently with tools like Python, scikit-learn, TensorFlow, Pandas, and FastAPI, and I’m experienced in deploying data-driven applications using modern frameworks like Streamlit and Flask.
I focus on delivering solutions that are not only technically sound but also aligned with business objectives. Whether it’s optimizing performance, enhancing user experience, or ensuring model interpretability, I bring a problem-solving mindset and collaborative approach to every project. You’re never limited to one direction—I offer flexible strategies backed by data and industry best practices
My Skills
I believe in the fact that learning never stops and I am interested in learning new technologies and programming languages that will help me design and develop a better output in less time.
Experience
07/2024 – Present
DevFum
AI Engineer
I design and develop intelligent AI systems and machine learning solutions to solve real-world problems. My work spans computer vision, natural language processing, speech recognition, and predictive analytics, where I build end-to-end pipelines for data processing, model training, and deployment. I focus on creating scalable , reliable, and efficient AI solutions that drive automation and business impact.
02/2024-05/2024
Brackets Pvt Ltd
ML Engineer Intern
Performed data preprocessing, cleaning, and feature engineering on large
datasets.
Developed and optimized machine learning models using Scikit-learn,
TensorFlow, and PyTorch.
Implemented deep learning, NLP, and time series forecasting techniques.
Conducted model evaluation, hyperparameter tuning, and cross-validation to
improve accuracy
Services
