Preksha Bhavsar

Performed data analysis and modeling in process, factory, and logistic automation environments to optimize operational efficiency and automation systems Applied uni- and multivariate time series analysis on sensor data with Python and Azure, to uncover trends, patterns, and anomalies, enabling predictive maintenance and enhancing operational insights Executed practical implementations of statistical and machine learning techniques

Segregated energy consumption using Neural Networks to identify patterns and optimize usage efficiency across different operational segments Conducted data cleaning and preparatory analysis to ensure the accuracy and reliability of data before feeding it into Artificial Neural Networks for training and testing Compiled and reported analysis results, effectively communicating insights and recommendations, while collaborating closely with the customer to tailor solutions to their specific needs and objectives

Developed an Android application as a frontend developer for two universities in India, with the goal of digital exchange of knowledge through this application. Other than this, the application was also capable of digitalizing library functions and book keeping for physical resources of the clients.

Gained expertise in data and statistical analysis, ETL, data visualization, machine learning, cloud services, and big data, alongside proficient project management using Agile techniques, to drive data-driven decision-making and innovation

Specialized in Android development and gained in-depth knowledge of C and C++, operating systems, computer architectures, database management systems