Nageswara Rao. Channaboina

ad06fm@r.postjobfree.com • Cincinnati, Ohio • 513-***-**** • https://www.linkedin.com/in/chnagesh/ WORK EXPERIENCE

Machine Learning Data Associate October 2018 – June 2022 Amazon Development Center India Hyderabad, India

• Leveraged data analytics techniques to examine customer goal success rate and conversion rate of Alexa device data; identified areas of improvement in Alexa Response Quality Defect Rate, leading to targeted enhancements and improved customer experience.

• Analyzed user queries and responses within the WBQA pilot project, performing rigorous quality checks to align device responses with ideal benchmarks; achieved a 95% accuracy rate and optimized user satisfaction.

• Conducted sentiment and emotion analysis on Alexa device data to train Al in recognizing human emotions by pitch and tone for Alexa Speech Sentiment Annotation project, achieved a significant 50% reduction in false positive emotion recognition results, enhancing user experience.

• Spearheaded the pilot batch for Speaker ID Annotation project, training the device to remember users by their voice; achieved a 50% reduction in authentication errors, enhancing security and user convenience.

• Mentored 5 junior Associates, improving Speaker ID Annotation precision by 25% and achieving 90% accuracy in Alexa Speech Sentiment Analysis.

Associate Analyst November 2016 – November 2017

GlobalLogic Technologies Pvt Ltd Hyderabad, India

• Trained Al data sets for Google Maps, optimizing geolocation accuracy by 20% and reducing routing errors by 15%, resulting in enhanced navigation experiences and increased user retention.

• Streamlined quality control processes by implementing data-driven performance metrics, resulting in a 15% increase in accuracy and productivity among associate analysts.

• Conducted comprehensive analysis of business structures as part of the Street Smart Process to verify businesses on Street View; identified and implemented process improvements that reduced verification time by 20%

• Developed labeled datasets and trained hydra models to automatically generate 2D buildings through Sky Smart process, resulting in a 45% reduction in manual feature detection efforts and saving 50+ hours per week. EDUCATION

University of Cincinnati, Carl H. Lindner College of Business Cincinnati, Ohio Master of Science, Information Systems (MS-IS) Dec 2023

• Graduate Certification in Data Analytics

• Relevant Coursework: Data Modelling, Database Design, Statistical Computing, Data Visualization, Data Warehousing Business Intelligence, Data Analysis/Visualization, Web Development with .NET, Project Management, Enterprise Architecture, Information Systems Security.

Jawaharlal Nehru Technological University, Kakinada, VVIT Guntur, Andhra Pradesh, India Bachelor of Technology, Major: Mechanical Engineering (ME) May 2016 ACADEMIC PROJECTS

Data Visualization Tableau Feb 2023

• Designed and developed a dynamic set of interactive dashboards showcasing worldwide population trends, leveraging data visualization techniques to forecast future population growth for every country. Resulted in enhanced data-driven decision making and strategic planning, increased awareness of population dynamics by 60%. Web Dev with .NET & XML / WEB SERVICES JSON, API, HTML, ASP.NET Framework Dec 2022

• Developed and launched Edusmart & Nutri Value- Eat Healthy websites using MS Visual Studio, leveraging JSON and consuming an open API; deployed on Azure to ensure seamless user experience and scalability. Data Modeling and Database Design SQL Dec 2022

• Revamped a juice store using database techniques entity relationship diagrams and relational models, to a thriving business model. Built a robust database and monitoring system to analyze customer, staff, and sales data, fostering data-driven insights that led to improved sales, optimized income, and streamlined expenses Data Analysis Methods – Disney Character Success Rate Python Dec 2022

• Comprehensive Exploratory Data Analysis (EDA) on Disney characters dataset, extracting key insights on revenue generation and success metrics to inform future strategies and recommendations for sustained growth in the market. SKILLS

• Programming Languages: SQL, Python, R,

• Tools / Database: Jupyter Notebook, RStudio, Visual Studio, Visual Studio code, MS Excel, Tableau, MySQL, Oracle SQL

• Soft Skills: Decision Making, Problem-solving, Team Player, Collaboration, Attention to detail, Analytical Skills, Innovative, Strong Communication Skills

Contact this candidate