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Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLE PHONE NUMBER AVAILABLE LINKEDIN LINK AVAILABLEEDUCATIONMaster of Science in Business Analytics (Data Science), University of Texas at Dallas. August 2022- May 2024 Bachelor of Technology Electronics and Communication Engineering, JNTUK July 2016 - September 2020 EXPERIENCEGraduate Research Assistant - University of Texas at Dallas September 2023 May 2024 Spearheading data analysis initiatives at AV Group Inc., I led the implementation of exploratory techniques, resulting in a remarkable 25% reduction in hold times and associated costs. Crafting predictive models utilizing Linear Regression, SVM, and Random Forest, I attained an exceptional 94% accuracy rate, showcasing the effectiveness of our data-driven approach. At AV Group Inc., I pioneered data analysis strategies, leveraging exploratory techniques to streamline inventory management, ultimately slashing hold times and costs by 25%. Senior Data Analyst, Auromax Technologies, Hyderabad, India December 2021 August 2022 Managed the migration of 10 applications to the cloud, handling datasets with over 50 million records. Used SQL and Python, speeding up queries by 40%. Set up real-time analytics for 15 data sources, processing over 100 GB of data daily. Used Python, cutting time-to-insights by 30%.Improved data lake security, analyzing terabytes of data logs and reducing security risks by 25%. Created a disaster recovery plan for a large data warehouse, cutting recovery time by 20% with Tableau. Integrated data from 5 sources, working with petabytes of data using SQL, and improving workflows by 15%. Additionally, implemented data integration and enhanced security measures led to further cost reductions, contributing to improved overall operational efficiency and resource utilization. Data Analyst October 2020-December 2021 Led a project analyzing customer behavior for a retail company, handling a dataset with over 500,000 customer records. Cleaned up huge datasets of millions of transactions using SQL and Python, making data 20% more accurate by removing redundancies. Used Python's K-means algorithm to divide customers into 5 groups based on how they shop . Investigated over 2 million transactions to understand how customers behave, finding important trends and oddities. Made easy-to-understand graphs and charts using Python tools like Seaborn and Plotly to show customer groups to stakeholders. Shared important insights and suggestions with company leaders, resulting in a 15% boost in targeted marketing success and a 10% rise in customer retention rates.PROJECTSSales Analytics Dashboard Project January 2023-May 2023 Extracted sales data from a database using SQL, encompassing product, customer, and transaction details. Utilized Python and Pandas to clean, analyze, and aggregate the data, deriving key metrics for sales trends. Developed an interactive sales analytics dashboard in Tableau, featuring visualizations like line charts, bar graphs, and geographical maps. Implemented filters and parameters in Tableau, enabling users to dynamically explore and analyze sales data. Extracted actionable insights from the dashboard, recommending optimizing sales strategies and targeting specific product or customer segments.Created a physical database and Mongo database August 2022-December 2022 Developed a MySQL database model for the IBM HR Analytics Employee Attrition & Performance dataset, including employee demographics, job roles, performance ratings, and attrition indicators with a dataset of 1470 entries. Completed data preparation tasks, ensuring data quality and consistency, and successfully loaded, cleaned, and transformed data into the MySQL database. Managed to insert all 1470 records accurately. Utilized MySQL Workbench to optimize SQL queries for data retrieval, analysis, and reporting, showcasing proficiency in database design and query execution. Executed queries using Studio 3T to analyze data stored in MongoDB, demonstrating competence in working with NoSQL databases and MongoDB query language (MQL) for insights into employee attrition and performance. Predicting Airplane Delays: A Machine Learning Approach August 2022- December 2022 Developed and implemented a machine learning model to predict airplane delays based on historical flight data, achieving an accuracy of over 80%. Utilized Amazon SageMaker to train and optimize XGBoost models, improving prediction performance through hyperparameter tuning and feature engineering. SKILLSProgramming Languages : Python, R, SQLVisualization Tools : Tableau, PowerBI, Microsoft Excel Data Management : SQL Server, MongoDB, MySQL, Apache Hadoop, Apache Spark. Version Control and Project Management : Git, Jira, Confluence. Data Analytics Tools : Google Analytics, MS Office Suite (Excel, Word, PowerPoint), Alteryx, SAS, STATA,R-StudioMachine Learning Techniques : Supervised and Unsupervised Learning, Natural Language Processing, Regression and Tree Models, Time Series Analysis, Predictive Analytics, Data Modeling, Hypothesis Testing, Forecasting,ANOVA.Analytics : PySpark, Numpy, Pandas, SciPy, Matplotlib, Seaborn, SciKit, Plotly, Jupyter. I excel in translating user requirements into actionable user stories, and thrive in Agile environments, utilizing methodologies such as Scrum to drive collaborative and efficient project delivery. CERTIFICATIONSI . Google Analytics (GA4), Data Analytics Essentials (Cisco), II. Atlassian Agile Project Management Professional Certificate |
