Kuldeep Bhardwaj

I am a Machine Learning and Data Engineering enthusiast with a B.Tech in Electrical Engineering (Power and Automation) from the Indian Institute of Technology, Delhi. Over the course of my academic journey and professional experiences, I have built a strong foundation in Python programming, machine learning, deep learning, and cloud computing, and I am passionate about applying these skills to solve complex, real-world problems.

During my internship at AdCity Mart Pvt. Ltd., I developed a BERT-based NLP pipeline that improved sentiment detection accuracy by 35% and automated performance tracking using Pandas and NumPy, reducing manual analysis time by 70%. I also deployed scalable workflows on AWS, which streamlined data handling and reporting cycles. This experience strengthened my ability to combine analytical thinking with engineering execution.

Beyond internships, I have worked on several impactful projects. I designed a credit card fraud detection system using deep learning, addressing extreme class imbalance with advanced techniques such as SMOTE and cost-sensitive learning. To ensure trust, I applied interpretability tools like SHAP and LIME to explain model predictions. I also built a personalized retail product recommendation system by integrating collaborative filtering, content-based models, and matrix factorization, demonstrating my ability to handle large datasets and optimize ML pipelines. Another project I am proud of is ride demand forecasting for urban mobility data, where I analyzed spatiotemporal patterns in Uber ride records and developed a Streamlit dashboard to visualize and predict demand using time-series forecasting.

My technical skill set includes Python, Java, C++, MATLAB, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, and SQL/NoSQL databases (MongoDB, DynamoDB, PostgreSQL), along with cloud services such as AWS EC2, S3, Lambda, and SQS. I am equally comfortable building data pipelines, performing exploratory data analysis, training and evaluating models, and deploying solutions for production.

What excites me most about technology is its ability to create real-world impact. Whether it’s detecting fraud, recommending products, or forecasting demand, I enjoy bridging the gap between raw data and actionable insights. I thrive in collaborative, fast-paced environments where I can learn continuously, contribute meaningfully, and grow alongside innovative teams.

I am currently seeking opportunities as a Machine Learning Engineer, Data Engineer, or Software Engineer (Python/ML focus), where I can apply my technical expertise and problem-solving skills to build scalable, intelligent systems that make a difference.