Sukirti Binjola
@sukirtibinjola
Machine Learning Intern
Noida, Uttar Pradesh, India
Driven and adaptable data science enthusiast with a strong foundation in Python, Pandas, NumPy, and TensorFlow. Recent internship experience applying machine learning to IoT projects fuels my eagerness to contribute to dynamic, real-world data-driven solutions. Proactively seeking an opportunity to learn, innovate, and hone my skills alongside experienced professionals.
Experience
Machine Learning Intern
Software Technology Parks of India NITK-STEP
Developed a cancer prediction model using Logistic Regression and Gaussian Naive Bayes, achieving a precision of 0.98 and accuracy of 0.63. Performed data preprocessing, feature engineering, and model evaluation using K-fold cross validation. Collaborated with senior engineers to integrate the model into a broader AI framework. Designed and implemented an IoT sensor system for real-time data collection and analysis. Developed machine learning algorithms to predict equipment failure and optimize maintenance schedules. Created a static website using S3 buckets, implementing encryption, versioning, and lifecycle management. Utilized TensorFlow and VGG16 architecture to visualize filter activations.
Education
Uttarakhand Public School
Bachelor of Technology
Electronics and Communication Engineering