Upendra chauhan User

I’m an enthusiastic, detail-oriented ML Engineer fresher focused on analyzing data, deriving insights, and building predictive models that solve real-world problems. I’m a quick learner who enjoys turning messy inputs into reliable outputs using strong programming and machine learning fundamentals.

In my projects, I built a Laptop Price Prediction model with Scikit-Learn, applying feature engineering, regression modeling, and EDA with data visualization to reach strong results (reported 90 percent accuracy). I also developed a Deep Learning Sentiment Analysis classifier using RNN on the IMDb dataset, including tokenization, padding, and word embeddings for positive/negative review classification. For fraud use cases, I created a UPI fraud detection model using transaction behavior analysis with imbalance handling and ensemble models, evaluating with accuracy, precision, recall, and F1-score.

I work comfortably across the ML workflow—data cleaning, preprocessing, exploratory data analysis, and predictive modeling—supported by tools and libraries like Python, SQL, Pandas, NumPy, TensorFlow, and Scikit-Learn. I’m eager to contribute to data-driven solutions where I can keep learning and deliver dependable machine learning outcomes.