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Arlington, TX Street Address  PHONE NUMBER AVAILABLE EMAIL AVAILABLEhttps://LINKEDIN LINK AVAILABLEEDUCATIONThe University of Texas at Arlington. Expected May Street Address
Master of Science in Data Science, GPA  3.6/4.0 Arlington, TXCoursework in Machine Learning, Database Management Systems, Big Data Management and Analytics, Data Science Project Management, Artificial Intelligence, Neural Networks, Deep Learning, Computer Vision, Probability, and Statistics.Sreenidhi Institute of Science and Technology. August 2016  August 2020Bachelor of Technology in Electrical and Electronics, GPA  8.31/10. Hyderabad, IndiaPROFESSIONAL EXPERIENCEThe University of Texas at Arlington. October 2022  December 2023Data Analyst Arlington, TXApplied Tableau and Excel for one year to create compelling data visualizations, resulting in a 30% improvement in data presentation and accessibility.Proficient in MS Excel with a demonstrated ability to manipulate and analyze large datasets, averaging 500,000 rows per spreadsheet, resulting in a 30% reduction in processing time.Skilled in SQL and Database Frameworks, managing databases with over 1 million entries, achieving a 25% increase in query efficiency.Experienced with tools like GitHub, Snowflake, and Salesforce.Accenture. January 2021  October 2021Software Engineer Hyderabad, IndiaDemonstrated strong coding and debugging skills in Python, and Java, resulting in the development of efficient and reliable test automation scripts, reducing testing time by 40%.Utilized Python, and SQL for programming, resulting in a 15% increase in automation and data processing capabilities.Illustrated versatility by working proficiently on various OS platforms, including LINUX/UNIX and Windows, and Bash, PowerShell, and Docker.Understanding of Agile or Scrum methodologies.Kaveri Elevators August 2019  December 2020Data Analyst. Hyderabad, IndiaBuilt complex models using multiple data sources with KPIs. And have experience with business intelligence tools like Alteryx, QuickBase, and AWS tools.Experienced with technologies like SAP ERP/VIM, Maintenix, and Aeroxchange.Created complex Power BI dashboards which reduced the time of predicting the outcome of a project by 15%.PROJECTSAcademic Technology Shift and Incident Report AnalysisConducted psychometric evaluations of employee assessments, resulting in a 20% improvement in measurement reliability and a 15% increase in the predictive validity of hiring processes.Executed organizational network analyses to optimize team dynamics, leading to a 25% improvement in collaboration efficiency, as evidenced by a reduction in project completion time by 20%.Applied job analysis methodologies to enhance role clarity and performance metrics, achieving a 30% reduction in task redundancy and a subsequent 10% increase in overall workforce productivity.IBMs Data Science Capstone ProjectSuccessfully finished an immersive Capstone Project, combining structured learning and hands-on application.Attained proficiency in Python, SQL, and data visualization, effectively managing varied analysis tasks.Acquired practical Machine Learning expertise, developing 10+ projects within a cloud-based environment.Achieved a distinguished score of 95% for a standout Capstone Project centered on predicting SpaceX Falcon 9 first-stage landings and assessing launch costs.Exhibited a robust blend of theoretical and practical skills in Data Science and Machine Learning.Simple Linear Regression and Multiple Linear Regression Analysis on Car Resale PriceApplied statistical analysis, quantitative analytics, and Machine Learning models (logistic regression, SVMs, XGBoost) contributing to a 20% increase in accurate forecasting and predictive analytics.Leveraged Machine Learning and statistics concepts for hypothesis testing and regression models, leading to a 15% improvement in model accuracy.Demonstrated expertise in multivariate testing and algorithms, contributing to a 25% increase in the optimization of data-driven strategies and decision-making.Leveraged SAS for programming, leading to a 15% improvement in automation and data processing capabilities.IMDB Data AnalysisConducted a comprehensive data analysis of over 1 million datasets from IMDB, extracting pertinent patterns and trends as per project specifications.Skillfully employed SQL to delve deep into the data, revealing valuable insights and information.Twitter Data Sentiment AnalysisBuilt a sentiment analysis model using LSTM (Long Short-Term Memory) deep learning architecture, achieving a 90% accuracy rate in Twitter sentiment classification.Applied a real-time sentiment tracking system with a custom recurrent neural network (RNN) architecture, providing dynamic sentiment updates every 10 seconds for trending topics.Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch.SKILLSTechnical Skills: Algorithms, Data Structures, Object-oriented programming, and design skills, Data Analysis, Data Visualization, Data Modeling, Machine Learning, Deep Learning, Statistics, Data Base Management Systems, Software Development Life Cycle (SDLC), Artificial Intelligence, Big Data, ML libraries (Pytorch, TensorFlow, Scikit-Learn).Programming Languages: Python, SQL, Java, R, C++, JavaScript, SASSoftware: Tableau, Power BI, Weka, Microsoft Office 365, Adobe Illustrator, MATLAB.