Madhuri Bendi

Madhuri Bendi - Hyderabad - github.com/madhuri-0325 SUMMARY Data Scientist with over 2 years of experience specializing in predictive modeling, data preparation and manipulation, feature engineering, visualization, and exploratory data analysis (EDA). Proficient in Python, MySQL, and libraries such as NumPy and pandas, with hands-on experience in machine learning, deep learning, and statistical analysis. Holds an M.Tech from NIT Delhi and has a publication in Taylor & Francis (IETE). Known for strong problem-solving skills, and the ability to deliver actionable insights from complex data. SKILLS Python MySQL NumPy Machine Learning Pandas Deep Learning Matplotlib Text Analytics Seaborn ANN Scikit-Learn CNN TensorFlow Tableau Keras EDA Time Series Analysis NLTK NLP Statistical Analysis EXPERIENCE Junior Data Scientist Lance Soft Engineering Private Limited 06/2023 – Present Hyderabad, India • Designed and implemented a demand forecasting model, optimizing distribution and improving service levels. • Conducted exploratory data analysis (EDA) to understand demand patterns. • Engineered time-based features and performed data cleaning, including outlier handling and standardization. • Implemented and evaluated multiple Regressor models, achieving an R² score of 0.945. • Built a predictive model to forecast retail sales, aiming to improve inventory management and business planning. • Cleaned data by handling missing values, duplicates, and outliers. Implemented and evaluated multiple regression and achieved a low Mean Absolute Error (MAE) of 20.48. • Gained foundational understanding of LLMs and Generative AI models, with a focus on their potential applications in datadriven solutions. Data Scientist Intern Learnvista Private Limited 08/2022 – 04/2023 Bengaluru, India • Built a machine learning model to predict coupon acceptance using customer and environmental data. • Cleaned, preprocessed data, handled missing values and duplicates, and performed EDA to identify key factors. • Developed and evaluated classification models, achieving 71% accuracy and 70% AUC. PROJECTS Churn Prediction using Artificial Neural Networks (ANN) • Developed an ANN model to predict customer churn for a bank, addressing an imbalanced dataset through upsampling the minority class. • Performed extensive exploratory data analysis (EDA) to identify key factors influencing customer churn. • Cleaned and preprocessed the data, including handling categorical features using one-hot encoding and scaling numerical features. • Built and trained a deep learning model using TensorFlow/Keras, incorporating layers such as Dense, Dropout, and Batch Normalization for improved performance. • Evaluated the model's performance using a classification report and confusion matrix, achieving a weighted average F1-score of 0.87, demonstrating the model's effectiveness in identifying churned customers. Sentiment Analysis of PM Speech in Ayodhya • Extracted text data from YouTube video of PM speech in Ayodhya and analyzed the sentiment in his speech. • Analyzed the sentiment of the speech using NLP techniques including tokenization, stop word removal, and lemmatization. Performed sentiment analysis using VADER lexicon and visualized the frequency distribution of positive, negative, and neutral words using bar plots and word clouds. Deep Learning Based Super Resolution Network for Channel Estimation • Designed a Deep learning based Super Resolution network for channel estimation which reduced the complexity and improved the bandwidth utilization efficiency compared to previous DL models. PUBLICATIONS Deep Learning Based Super Resolution Network for Channel Estimation Journal Co-authored with Dr. Sachin Agrawal, and Dr. Sandeep Joshi, Accepted by IETE Journal of Research and published on Taylor & Francis online. Super Resolution-Based Channel Estimation Co-authored with S. Agrawal, P. Agrasen, P. Kumar Shah Published in Lecture Notes in Networks and Systems, Singapore: Springer Nature Singapore,2023, pp. 277-284. EDUCATION Master of Technology in Electronics and Communication Engineering 7.85/10 NIT Delhi 08/2020 - 05/2022 Delhi, India Bachelor of Engineering in Electronics and Communication Engineering GVPCEW 08/2014 - 05/2018 Visakhapatnam, India CERTIFICATION Advanced Data Science and AI certificate IBM 73.28%