ANANYA KATTA

Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights. Excellent technical aptitude and knowledge of programming languages, data analytics and data visualization.

• Data Analysis with Python by IBM: Developed python code for preprocessing, including data cleaning, manipulation with dataframes, summarization, distribution analysis, correlation assessment, and the establishment of data pipelines. And performed exploratory data analysis using libraries such as Pandas, Numpy and Scipy.
• Data Science by Analytics Vidya: Acquired expertise in data cleaning, analysis, and visualization, proficiently constructed machine learning models and streamlined data pipelines. Utilized SQL for data definition (DDL) and manipulation (DML) and Power BI for visualization.
• Machine Learning by Stanford University: Built ML models with NumPy & scikit-learn, built, and trained supervised models (linear, logistic regression) for prediction and unsupervised models for clustering and anomaly detection.