Neelima Settipalli

Results-oriented Software Engineer with a history of managing complex projects that enhance customer and business operations. Expertise in analyzing and resolving intricate programming challenges, leading to the development of innovative software solutions that boost operational efficiency. Recognized for strong problem-solving abilities and proficiency in diverse programming languages, contributing to system performance improvements through code optimization and collaborative teamwork. Career aspirations include advancing into leadership roles to drive strategic technology initiatives.

• Digital Skills Readiness Program, Emerging Technologies, Wipro Limited, 06/01/20, 10/01/20
• Electrical Vehicle Development, Green Energy Innovations, Imperial Society of Innovative Engineers (ISIE), 05/01/19, 12/01/19

• Covid-19 Data Analysis Using PySpark, Cognizant, India, 02/01/21, 06/01/21, Championed a high-impact project to analyze extensive Indian COVID-19 data, utilizing Machine Learning techniques and Predictive Analytics., Expertly wielded PySpark, Hadoop, and Hive for all-inclusive sorting and analysis of Big Data., Utilized PySpark’s Distributed Computing capabilities, Hadoop’s MapReduce processing architecture, and Hive’s SQL-like queries, exhibiting proficiency in managing Data Quality issues such as Null Values and Unstructured Data., Successfully delivered Actionable Insights, bolstering Data Quality, and augmenting processing efficiency by 40%.
• Machine Email Classification (Spam or Ham), Developed and deployed a machine learning-based email classification system., Achieved an accuracy rate of 0.98 in distinguishing spam from legitimate emails., Utilized Python, Scikit-Learn, and Pandas for model development., Conducted data preprocessing, including data cleaning and tokenization., Implemented natural language processing (NLP) techniques for text classification., Ensured responsible data handling and privacy considerations throughout the project., Improved email security, providing colleagues with a safer communication environment.
• Email Distribution Optimization and User-Friendly Dashboard Creation, Addressed the dual challenge of accelerating data distribution via email to enhance communication and creating a user-friendly dashboard for seamless file exchange., Integrated Amazon services including Lambda, S3, and RDBMS, to automate email distribution and optimize storage capabilities, thus ensuring operational effectiveness and system scalability., Concurrently, a user-centric dashboard was developed utilizing Flask for backend operations and HTML for frontend design., Achieved an accelerated data distribution process, significantly enhancing communication efficiency, while the user-friendly dashboard facilitated frictionless file exchange, resulting in a substantial uplift in overall user experience.

Neelima, S., Aparna, Ch., Swapna, G., "Reliability Improvement in Distribution System using Plug in Electrical Vehicle", 2022