Ankita Kotadia
Services provided: Machine Learning , Deep Learning , Data analysis , iOS Developers
About Ankita Kotadia:
I recently completed my MSc. in Artificial Intelligence from London Metropolitan University, where I had the opportunity to work on various compelling projects. One notable project involved experimental analysis of crop disease detection using machine learning and deep learning algorithms. Through this experience, I gained valuable expertise in data visualization, predictive analysis, statistical modelling, and machine learning and deep learning algorithms. Additionally, I have worked on designing a data warehouse to optimize business decision-making processes. My educational foundation includes a bachelor's degree in Electronics & Communication from Gujarat Technical University.
Furthermore, I am currently contributing my skills as a Natural Language Processing Engineer at TiiQu in London. As a skilled NLP developer, I was a part of developing an automated Q&A creation system that extracts Q&A from long texts such as academic research, published scientific, legal, and well-documented articles. Previously, as a Senior Software Engineer, I successfully developed and released native iOS mobile applications in various industries. My proficiency in Python, Objective-C, Swift, and a wide range of iOS frameworks enables me to effectively work with third-party APIs and libraries, consistently delivering high-quality and visually appealing applications.
I am confident that my skills and experience align perfectly with your company's goals. I stay updated with the latest industry trends and continuously enhance my skills to ensure seamless adaptation to your team's requirements. I am excited to bring my expertise in developing high-performance machine learning systems to contribute to your team's success.
Experience
Furthermore, I am currently contributing my skills as a Natural Language Processing Engineer at TiiQu in London. As a skilled NLP developer, I was a part of developing an automated Q&A creation system that extracts Q&A from long texts such as academic research, published scientific, legal, and well-documented articles. Previously, as a Senior Software Engineer, I successfully developed and released native iOS mobile applications in various industries. My proficiency in Python, Objective-C, Swift, and a wide range of iOS frameworks enables me to effectively work with third-party APIs and libraries, consistently delivering high-quality and visually appealing applications.
Education
I recently completed my MSc. in Artificial Intelligence from London Metropolitan University, where I had the opportunity to work on various compelling projects. One notable project involved experimental analysis of crop disease detection using machine learning and deep learning algorithms. Through this experience, I gained valuable expertise in data visualization, predictive analysis, statistical modelling, and machine learning and deep learning algorithms. Additionally, I have worked on designing a data warehouse to optimize business decision-making processes. My educational foundation includes a bachelor's degree in Electronics & Communication from Gujarat Technical University.
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