Puthali Ravella

Experience

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  Leadingindia.ai

  May 2020 - Aug 2020

  Intern

  Performed data processing on unlabeled datasets collected from Twiaer and built an unsupervised machine-learning model.• Applied K-Means Clustering and AgglomeraHve Clustering algorithms.• Conducted Exploratory Data Analysis on the collected data.• OpHmized model parameters to increase accuracy and did A/B tesHng using different models to provide a variance on howeach model performed

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  Capgemini

  Jul 2020 - Aug 2022

  Data Analyst

  • Part of a high-performing data engineering team that worked on banking data in an agile environment, ensuring efficient collaboration, teamwork, and project completion.• Utilized a range of technical skills, including data management, governance, and cloud-based platforms like AWS, to implement large-scale data ecosystems for generating insights.• Implemented large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.• Conducted data ETL tasks involving collection, export, merging, and manipulation of data from various sources such as Oracle DB and Amazon Redshift, improving reporting efficiency by 30%.• Analyzed data using Python and statistical methods such as chi-squared, providing meaningful insights to drive data-driven decision-making and reducing business decision time by 50%.• Conducted exploratory data analysis (EDA), identifying trends and patterns in datasets through univariate, bivariate, and multivariate analyses, and used visualization techniques in Tableau to present results.• Developed Tableau data visualizations including Cross tabs, Heat maps, Box and Whisker charts, Scatter plots, Geographic Maps, Pie charts, Donut charts, Bar charts, and Density Charts.• Managed project progress and bug tracking as a scrum master, using JIRA software for sprint organization and tracking. Show less

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  University of Illinois Chicago

  Aug 2023 - Dec 2023

  Data Analyst

  • Optimized UIC Baseball team data by cleaning and selecting variables for analysis using Python data packages. • Created detailed scatter plots for ball and pitch analysis using Tableau dashboards for coaches to analyze. • Enhanced coaches' and players' preparedness with Tableau dashboards, improving over traditional Excel analysis. • Monitored project management and status with a Gantt chart to get a detailed idea of the processes involved in delivering the project on time.