Headline

Aspiring data Scientist | IIT KHARAGPUR | Master’s in Mathematices | IIT JAM MA’23-AIR 354 | MNIT JAIPUR INTERN

About

I am Priyanka Kumawat, a Master’s student in Mathematics at IIT Kharagpur with a strong passion for Data Science, Machine Learning, and AI. I enjoy solving real-world problems using data-driven approaches and building scalable machine learning solutions. I have recently completed a Master Data Science Program (8 months) from GUVI (an IITM incubated company) in collaboration with HCL, where I gained hands-on experience in Python, machine learning, deep learning, and real-world project development. My technical expertise includes Python, C++, SQL, and data analysis using Pandas, NumPy, and Scikit-learn. I have worked on impactful projects such as: • Real-Time Object Detection using YOLOv8 (Images & Videos) • Garbage image classification using CNN & transfer learning • Human Activity Recognition using ML models • Doctor-patient allocation using Q-learning (Reinforcement Learning) • Medical insurance cost prediction (R² ~0.89) During my internship at MNIT Jaipur, I applied machine learning techniques like regression, SVM, and decision trees, along with data preprocessing and feature engineering to solve practical problems. I am particularly interested in predictive modeling, deep learning, and building end-to-end ML pipelines with deployment (Streamlit, MLflow). Along with strong analytical thinking, I bring effective communication, problem-solving ability, and a continuous learning mindset. I am actively seeking opportunities in Data Science / Machine Learning where I can contribute, learn, and grow. Let’s connect and collaborate! #DataScience #MachineLearning #AI #Python #DeepLearning #OpenToWork

Location

Jaipur

Work experience

SDE Professor at Geeks of Gurukul, Mar 2026 - Present · 4 mos, Bhopal, • Delivered Python training focused on data analysis, problem-solving, and real-world applications. • Guided students in building end-to-end Data Science and Machine Learning projects using NumPy, Pandas, and Scikit-learn. • Mentored learners in debugging, algorithmic thinking, and simplifying ML and statistical concepts.

Machine learning and python at Malaviya National Institute of Technology Jaipur, May 2024 - Jul 2024 · 3 mos, Jaipur, Rajasthan, India, Gained hands-on experience in supervised machine learning using Python, including linear regression, decision trees, and support vector machines. Worked on real-world datasets for predictive modeling, applying techniques like data preprocessing, feature engineering, and model evaluation. Strengthened my understanding of ML workflows from data collection to deployment-ready models. Collaborated with mentors and peers to enhance analytical and programming skills in a structured research environment.

Education

Master of Science - MS, Mathematics, Indian Institute of Technology, Kharagpur

Bachelor of Science - BS, Mathematics, University of Rajasthan