Preksha Bhavsar's Linkedin Analytics

As a recent Master's graduate in Project Management and Data Science from HTW Berlin, I bring a profound passion for leveraging data and computer science to address real-world challenges. My thesis project, which focused on extracting and analyzing traffic-related information from social media posts using advanced NLP and ML techniques such as Named Entity Recognition, BERT, and Bi-LSTM, stands as a testament to my capability to innovate and implement sophisticated data science methodologies. Previously, I completed an internship at SICK Sensor Intelligence, where I performed data analysis and modeling in process, factory, and logistic automation environments to optimize operational efficiency and automation systems. I applied uni- and multivariate time series analysis on sensor data with Python and Azure, uncovering trends, patterns, and anomalies, enabling predictive maintenance and enhancing operational insights. I also executed practical implementations of statistical and machine learning techniques, working in cross-system project teams to facilitate data-driven decision-making, streamline processes, and foster innovation. I have a strong background in data pipelines, machine learning algorithms, Azure Databricks, and other data analytics tools. Moreover, I am developing myself in cloud computing, as I believe it is a key skill for the future of data science. I aim to leverage my knowledge and skills to contribute to impactful and meaningful projects in the data science domain.