About

Akanksha Pandey is a highly skilled Data Scientist with a wealth of experience in the industry. She is currently working as a Research Engineer (Data Science) at Jupiter, a fast-paced fintech startup that specializes in User Personalization, Conversational AI, and NLP. Akanksha has a Master's degree in Data Science from King's College London, where she also worked as a Research Assistant. Her Masters dissertation focused on analyzing bias present in contextual language models, using PyTorch and NLP. Akanksha has a diverse range of skills and experience in building recommendation services, scalable data-driven intelligent business models, customer-centric product features, and end-to-end integration of products in the Digital domain. She has previously worked at Adobe and PayPal, where she was involved in developing a prototype of a feature recommendation service based on collaborative filtering for Adobe Campaign. She has also designed and deployed a cloud-based data service running on Adobe's internal inventories to showcase customer insights catering to multiple stakeholders. Akanksha is passionate about machine learning and its applications in extracting knowledge from data, thereby contributing to the business goals of the organization. She is highly skilled in deep learning, data mining, NLP, ML, AI, and language models. She has experience working with Python, TensorFlow, PyTorch, and Neural Networks. She has also taken ownership of developing an offline editing feature in Adobe Target, a web optimization tool. Akanksha is a highly motivated individual who thrives in a competitive, inclusive, and fair work environment. She is always looking for new opportunities to harness the power of machine learning and data science to solve complex business problems. With her strong academic exposure and relevant experience, she would be a valuable addition to any team looking to harness the power of data science.