Madhuri Bendi

I am a Data Scientist with over 2 years of experience in predictive modeling, data analysis, and machine learning, with a strong academic background including an M.Tech from NIT Delhi and a research publication in Taylor & Francis (IETE). My expertise lies in transforming raw data into actionable insights through advanced analytics, machine learning, and visualization.

In my current role at Lance Soft Engineering Pvt. Ltd., I designed and implemented demand forecasting models that optimized distribution and improved inventory planning. I worked extensively on data cleaning, exploratory data analysis, and feature engineering, achieving high model performance with an R² of 0.945 and a low Mean Absolute Error of 20.48. I also explored regression and time-series models to enhance business decision-making.

Previously, as a Data Scientist Intern at Learnvista Pvt. Ltd., I built machine learning models for coupon acceptance prediction, reaching 71% accuracy and 70% AUC. This experience sharpened my skills in preprocessing large datasets, developing classification models, and delivering practical solutions for customer engagement.

Beyond work, I have completed projects in customer churn prediction using deep learning (ANN), sentiment analysis with NLP techniques, and super-resolution networks for channel estimation. These experiences allowed me to apply advanced tools like TensorFlow, Keras, and NLP libraries to solve diverse problems.

I am proficient in Python, MySQL, and libraries such as NumPy, Pandas, Scikit-learn, and Seaborn. My interests also extend to Generative AI and Large Language Models, where I am building foundational knowledge to apply them in business-focused solutions.

I bring strong problem-solving skills, attention to detail, and a passion for continuous learning, making me well-suited to contribute to impactful, data-driven projects.