Nowshad Shaik
About Nowshad Shaik
Nowshad Shaik is a Data Science Intern at Peakflo in Singapore, where he has contributed to various projects since 2023. He has a background in Big Data development and holds degrees in Electronics and Communications Engineering and Artificial Intelligence.
Work at Peakflo
Currently, Nowshad Shaik serves as a Data Science Intern at Peakflo, a company that participated in Y Combinator's Winter 2022 batch. He has been with the organization since 2023, contributing to various data science initiatives in Singapore. His role involves implementing advanced data solutions that enhance operational efficiency.
Education and Expertise
Nowshad Shaik has a diverse educational background. He is pursuing a Master of Information Technology in Business (MITB) at Singapore Management University, focusing on Artificial Intelligence from 2023 to 2024. He holds a Bachelor of Technology in Electronics and Communications Engineering from Dr. B R Ambedkar National Institute of Technology, Jalandhar, completed in 2019. His foundational education includes SSC from Sasi English Medium High School and Intermediate from Tirumala Junior College.
Background in Big Data Development
Before joining Peakflo, Nowshad worked at Wipro for three years. He served as a Senior Big Data Developer in Dubai from 2021 to 2022 and as a Project Engineer in Chennai from 2019 to 2021. His experience in these roles equipped him with skills in big data technologies and project management.
Technical Achievements
Nowshad has successfully implemented several technical projects. He developed an OCR model with DocumentAI for shipping lists, achieving 95% accuracy and significantly reducing the operations team's workload by 60%. Additionally, he optimized BigQuery queries, resulting in a 45% decrease in execution time and associated costs. He also designed a WhatsApp chatbot using OpenAI tools to improve customer experience and engagement.
Innovative Solutions in Data Science
In his current role, Nowshad has developed features using large language models (LLMs) to simplify client onboarding processes, leading to a 50% reduction in time for onboarding and workflow management activities. His contributions reflect a strong focus on leveraging data science to enhance business operations.