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Humeil Makhija has three years of work experience. From 2022 to present, they have been working as a Data Scientist at Pixis. From 2019 to 2022, they worked as a Data Scientist at zeotap, where they generated $2M revenue by optimizing a Billion scale user identity graph, reducing traversal time exponentially, and saving 2-3 days of manual labour work per week. During the same time, they also worked as a Data Science Intern, where they automated an end-to-end ML pipeline to optimize storage and computation cost, and published a paper in ADKDD 2021. In 2019, they also worked as a Software Developer Internship at Strand Life Sciences.

Humeil Makhija obtained a Bachelor of Technology in Computer Science from BIT Mesra between 2015 and 2019. humeil has also obtained three certifications in Natural Language Processing from Coursera in 2021, including Natural Language Processing with Sequence Models (December 2021), Natural Language Processing with Probabilistic Models (November 2021), and Natural Language Processing with Classification and Vector Spaces (October 2021).