Jyotsna Patel

As a Data Scientist/Engineer, I excel at using analytical functions and data modeling methods to deliver valuable insights that drive strategic decision-making. I specialize in designing and maintaining data pipelines, ensuring that data is accurate, accessible, and secure. My expertise in artificial intelligence, machine learning, statistics, natural language processing, deep learning, and computer vision enables me to develop innovative solutions to complex data challenges. I am passionate about staying up-to-date with emerging technologies and leveraging them to improve business outcomes. I am available to start immediately

As a Data Scientist with experience at Athora and Jheronimus Academy of Data Science (JADS) - Eindhoven University of Technology, I designed and implemented innovative tools and algorithms for large-scale data processing. At Athora, I built a tool to extract customer names from scanned ID images, achieving 95% accuracy and leading to up to 42% cost savings in capture technology expenses. Additionally, I reduced integration and assurance times by developing an extensive suite of tests and framework components. At JADS, I designed a system for donors and charities to easily search for each other using Natural Language Processing, and also created a tool to predict recoater jams in 3D printing machines. At Building Materials Europe and The Heritage Department Den Bosch, I identified customer buying potential using clustering techniques and designed a crime dashboard for 's-Hertogenbosch 1550-1803, respectively. Earlier, at Young Hats, I coordinated statistical data analysis using Linear Regression and PCA techniques, evaluated business metrics, and created interactive dashboards using Tableau.

I pursued a career in data science, starting with a Bachelor of Technology in Computer Science and Engineering from JECRC University in Jaipur, India, from August 2012 to July 2016. My dissertation project involved sales pattern recognition and report generation using Hadoop, which sparked my interest in the field of data analytics. This led me to complete a Master of Science in Data Analytics from the National College of Ireland in Dublin, Ireland, from September 2017 to August 2019. My dissertation focused on paraphrase detection in Hindi language using Natural Language Processing, allowing me to develop expertise in NLP techniques. Building on this foundation, I recently completed an Engineering Doctorate (formerly known as PDEng) in Data Science from the Eindhoven University of Technology in Eindhoven, Netherlands, from January 2021 to March 2023, further enhancing my skills in data science and engineering.