Sathyasri S's Projects
This analysis aims to comprehend the many transport networks, identify thebusiest hubs, ascertain the population density in these locations, and establish a connection between them and the airquality in that region.
Developed an ARM7 TDMI instructions-based Assembly Language Program sub-routine to compute complex real value division.
Repository containing all the ARM7 Thumb Instruction programs written for the Microprocessors course at college.
A face recognition-based attendance monitoring system to enhance and upgrade traditional systems to improve efficiency and automate routine tasks.
A crime detection and campus management system that helps in the detection, classification and subsequent mitigation of crimes occurring in a region of surveillance.
The aim of this analysis is to understand the smoking patterns among adults in the UK.
Using a dataset with all the Covid cases in the world in March 2020, I created a visualization for the same - country wise
The aim of this project is to create a more nuanced understanding of the interactions between socio-demographic characteristics, in-game behaviours, and global-scale environmental consciousness.
The aim of this project is to understand the principles of text pre-processing and vocabulary building.
The main aim of this project is to understand and implement deep neural network (DNN) and convolutional neural network (CNN) and see how these can be used for classification problems.
IPL 2022 Auction Analysis using Python
Repository containing all source files and assignments from Pattern Recognition classes at college.
Programming exercises and practice in C, Java and Python.
Repository containing all direct and gradient-based search algorithms.
The aim of this project is given a collection of records documenting the stray, unwanted, or neglected dogs sent to animal shelters to be rehomed, we analyse their rehoming patterns based on their breeds.
The aim of this project involves the analyses the data, removing trends and seasonal effects, identifying the underlying process, understanding the dominant frequencies, and using the residuals to make predictions.
Repository containing the simulated schematics of logic gates, counters, adders and registers along with corresponding layouts for semiconductor design.
Hello! I'm Sathyasri Sudhakar, a passionate data science enthusiast and Master’s student at the University of Leeds, specializing in Data Science and Analytics. With a solid foundation in electronics and communications engineering, I've honed my skills in data analysis, machine learning, and cloud technologies through both academic pursuits and real-world experience at Cisco and Cognizant. I thrive on transforming complex data into actionable insights and am always on the lookout for innovative solutions to challenging problems. Check out my repositories to see how I leverage Python, R, and various data science tools to drive data-driven decision-making and create impactful data visualizations. Let's connect and explore the infinite possibilities of data together!
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent