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Kartik Lal
Machine Learning Engineer at Apple with extensive data science experience
Kartik Lal is a Data Scientist and Machine Learning Engineer at Apple, based in California. He has been with the company since September 2021, where he focuses on translating abstract business requirements into numerical problems and generating actionable insights through data science and machine learning techniques. His expertise includes artificial intelligence, deep learning, and natural language processing, among other areas.13
Professional Background
Kartik has over five years of experience in the field, having previously worked in various roles that involved data engineering and analytics. Notably, he served as a Data Scientist Co-op at Ahold Delhaize, where he developed predictive models and analytics reports to improve supply chain operations. He has also held positions as a Teaching Assistant at Northeastern University and worked with companies like Mu Sigma Inc. where he led projects that leveraged machine learning for business solutions.13
Education
He holds a Master of Science in Data Science from Northeastern University, where he achieved a GPA of 3.83. His academic projects included a movie recommendation system and loan defaulter prediction models, showcasing his ability to apply machine learning algorithms effectively.3
Mentorship and Coaching
In addition to his technical role, Kartik is also involved in mentoring aspiring data scientists and engineers. He offers coaching on interview preparation, resume reviews, and career development, helping candidates secure positions in competitive tech environments.21
Personal Interests
Outside of his professional work, Kartik enjoys hiking and traveling, and he is also a teacher of yoga and meditation, reflecting a well-rounded approach to both his personal and professional life.1
Highlights
I'm happy to share that I've started working as a Machine Learning Engineer at Apple!
"Work is love made visible"- Khalil Gibran I discovered that love at Northeastern University, where my fascination for math saw fruition with an intellectually stimulating curriculum and amazing professors. I finally understood how concepts of calculus, probability theory and linear algebra can solve real-world problems. A special thanks to professor Alina Oprea for helping build a good foundation in machine learning.
The journey has been real. From being a sub-mediocre performer in undergrad to scoring a good GPA in grad school to getting an offer from one of the best tech companies. If anything, life has time and again taught me the lesson of perseverance and humility (#adulting). After several interviews and job offers, I'm elated to embark on this journey with Apple.
#newjob #machinelearning #deeplearning #datascience #apple
