Pranali Dhane
Senior Computer Vision Engineer at Strolll
Based in London, United Kingdom
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Seniority
Staff
Department
Engineering
Location
London
Industry
Medical Equipment Manufacturing
Company size
43
Contact information
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p•••••••@strolll.co
Phone
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Background
About Pranali Dhane
I am an accomplished AI and Digital Transformation leader with a strong technical background, capable of spearheading end-to-end solutions from initial requirement gathering through to successful deployment. My expertise encompasses the design and development of data science initiatives spanning diverse domains, including computer vision, voice analytics, IoT, RPA, and NLP. My expertise spans developing state-of-the-art computer vision algorithms for image and video analysis, including object detection, image segmentation, pattern recognition, classification, OCR, and facial recognition. I have deployed machine vision projects leveraging a wide array of hardware including various camera sensors, computing boards like Raspberry Pi, Nvidia boards, and API-based systems. In addition to computer vision, I excel in NLP, where I leverage cutting-edge techniques such as deep learning and transformer models to extract insights from unstructured text data. I have developed and deployed NLP applications for sentiment analysis, text classification, speech-to-text, and more, enabling organizations to unlock valuable information from textual data sources. I have led and managed teams of data scientists, guiding them to deliver exceptional results. I have experience in collaborating with cross-functional teams to ensure seamless integration of AI and digital solutions into broader business strategies. In addition, I have a proven track record in client engagement, where I have successfully managed and nurtured client relationships, delivering tailor-made solutions to meet their specific needs. Beyond technical acumen, my skill set includes robust analytical abilities, clear and effective communication, organizational finesse, and a knack for troubleshooting. I excel at analyzing existing business practices and devising optimal procedures and practices to drive efficiency and success. I have communicated various papers to international conferences on research; 4 papers have been published in X-plore. I'm passionate about the transformative potential of AI and dedicated to driving innovation in the ever-evolving field of digital transformation.
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