Udaya Sri Satya Sai Vaddi's repositories
Data-Driven-Insights-from-the-Tokyo-Olympics-Unveiling-Performance-Participation-and-Parity
Explore an in-depth analysis of the Tokyo Olympics, focusing on athlete participation, coaching trends, and medal distributions across nations and sports. This project leverages comprehensive datasets to provide a holistic view of the games, highlighting patterns in gender distribution, team compositions, and country-wise performances.
UdayaVaddi
Config files for my GitHub profile.
Data-Engineering-Projects
Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
Apache-Kafka-Explanation
Apache Kafka is a a powerful open-source tool that helps us build pipelines and applications to handle this firehose of information.
-Predicting-Car-Price-using-Machine-Learning-
Precision in Pricing: Our model offers precise estimates of car prices, enabling buyers and sellers to negotiate with confidence and transparency.
Standard-Bank
Throughout April 2024, I have excelled in practical tasks including SQL for data scientists, data science with Python, preparing effective presentations, and integrating these skills in comprehensive projects.
Quantium
Over 8 months, he adeptly handled tasks in data preparation, customer analytics, experimentation and uplift testing, and the commercial application of analytics.
Pwc
I have successfully tackled practical tasks in areas such as call center trends, customer retention, and diversity & inclusion, leveraging Power BI to generate impactful insights.
Commonwealth-Bank
I have worked on demonstrating skills in data aggregation, analysis, anonymization, proposing analysis approaches, and database design.
Cognizant
I am an Artificial Intelligence professional with specialized training completed in April 2024. Skilled in exploratory data analysis, data modeling, and machine learning production, I excel at building, deploying, and maintaining high-quality AI models.
BCG-X
Demonstrating practical competence in critical areas of data science that include exploratory data analysis, feature engineering, and modeling. Through this project I have engaged in intensive tasks that culminated in strategic findings and actionable recommendations, showcasing an ability to translate business issues into data-driven solutions.