Kanika Dhaundiyal
@kanikadhaundiyal
B.Tech CSE graduate passionate about AI, Machine Learning and Python, with hands-on experience building predictive models and ML projects.
What I'm looking for
I am a B.Tech graduate in Computer Science and Engineering with a strong interest in Artificial Intelligence, Machine Learning, and Data Science. I enjoy building intelligent systems that solve real-world problems using data-driven approaches.
During my academic journey, I gained hands-on experience with Python, scikit-learn, Pandas, NumPy, SQL, and Flask. I have developed several machine learning projects, including a Heart Failure Prediction System and an AI-based application for classifying exam questions by difficulty using TF-IDF and Logistic Regression. These projects strengthened my understanding of data preprocessing, feature engineering, model training, evaluation, and deployment.
I was also a Grand Finalist in Smart India Hackathon 2024, where I collaborated with a team to design an innovative AI-driven solution under tight deadlines, enhancing my problem-solving, teamwork, and communication skills.
I am passionate about continuously learning new ML techniques, improving model performance, and applying AI to solve meaningful business challenges. I am currently seeking an entry-level AI Engineer or Machine Learning Engineer role where I can contribute, grow my technical expertise, and work on impactful AI products.
Experience
Work history, roles, and key accomplishments
AI-Powered Web Platform Developer
Self Employed
May 2026 - Present (3 months)
Developed an AI-powered web platform covering a database of 300+ Previous Year Questions (PYQs) with correct answers and automated difficulty-level classification. Integrated machine learning models and REST APIs to power intelligent question management, improving response accuracy and backend data-handling efficiency.
Heart Failure Prediction Model Developer
Self Employed
Nov 2025 - Present (9 months)
Trained and evaluated a scikit-learn classification model on a dataset of 300 patient records to predict heart failure risk, then deployed it behind a Flask REST API for real-time inference. Designed a responsive HTML/CSS frontend to visualize prediction results with clear, user-friendly risk indicators.
AI-Chatbot Developer
Self Employed
Oct 2025 - Present (10 months)
Built an AI-powered chatbot integrating the Gemini API to handle user queries and generate real-time, context-aware responses.
Education
Degrees, certifications, and relevant coursework
NITRA Technical Campus
Bachelor of Technology, Computer Science and Engineering
2022 -
Grade: 8.4 CGPA
Pursuing a Bachelor of Technology in Computer Science and Engineering with a CGPA of 8.4.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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