Pavanteja Reddy

I am a results-driven Data Scientist with hands-on experience in Python, machine learning, deep learning, and data analytics. I specialize in building predictive models, performing data preprocessing, and deploying analytical solutions that drive business outcomes.

In my recent role as an Analyst, I analyzed and resolved technical and product-related issues, extracted and validated datasets using SQL, and produced reports through careful querying and data checks. I apply robust model-evaluation practices and have experience with performance metrics such as RMSE and accuracy.

My projects include an end-to-end stock market prediction system using LSTM and regression techniques, where feature engineering improved model performance by 15%, and a bank loan analysis project that uncovered factors influencing loan approvals via thorough EDA. I regularly visualize results with Matplotlib and Seaborn to communicate insights.

I bring a practical toolkit—TensorFlow/Keras, Scikit-learn, XGBoost, Pandas, NumPy, SQL, Power BI—and a focus on turning raw data into actionable recommendations. I am motivated to join teams that value data-driven decision-making and continuous improvement.