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Sakthivel Baskaran

Sakthivel Baskaran

Final year Computing Student at NUS

Technology / Internet

Singapore
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About Sakthivel Baskaran:

Final year Computing Student at NUS Experienced and interested in Software engineering and Data Science Application
 

Experience

WORK EXPERIENCE
Grab (DigiBank) Jan 2022 – Jul 2022
Software Engineer Intern
Skills: React, NodeJS, ML-Ops, Kubernetes, Python, SQL 
• Grab DigiBank is a regional digital retail bank that offers financial services to underbanked and digitally savvy 
• Partnered with Microsoft CSE team and trimmed manual processes by 70% by deploying CI/CD ML-Ops pipeline integrating Feature Store, to rapidly productionize datasets. Employed Docker, Azure Kubernetes and Gitlab tools
• Built Webapp, using HTML/CSS, React and NodeJS, to visualize underlying data in ML models and auto generate analytics dashboards. Reduced feature exploration time by 80% for Data Scientists to expedite experimentation
• Designed and built REST API service using NodeJS to authenticate and fetch data from Snowflake data warehouse and pass to JS Frontend. Wrote health and smoke tests to enhance reliability of service

Construct Digital Jan 2021 - Jul 2021
Data and strategy Consultant 
Skills: Python, SQL, GCP Big query, Airflow, NLP Clusteri 
• Construct Digital is digital marketing company that serves B2B clients in Southeast Asia
• Reduced Data processing time from 3 hours to under 30 seconds by building automated data pipelines using Python, SQL, Big Query, and Airflow to aggregate performance of campaigns on various social media platforms
• Increased positive traffic on digital platforms by 20% by Data Mining social medias via NLP clustering analysis
• Directed seminar on A/B Testing tools for over 50 Marketing managers to improve performance metrics of campaigns

Adra.ai  Nov 2020 - Jan 2021
AI & Machine Learning Intern 
Skills: Python, Flask, AWS, Computer Vision, YOLOv5
• Adra.ai is a Dental AI start-up that aims to improve diagnosis of dental ailments using Computer vision techniques 
• Deployed Python Flask Webapp using AWS tools to monitor Computer vision model across 7 clinics collecting metrics
• Trained Yolov5 Computer vision object detection model to identify cavities in Xray images with 75% accuracy
• Aided in start-up fundraising presentations at Y-Combinator Summer program, clinched $250k funding

RippleCreate Jun 2020 - Aug 2020
Computer Science Intern 
Skills: Python, JavaScript, Computer Vision
• Ripplecreate is an Education Technology company that trains Pre-U students in computing proficiencies
• Built real time Computer vision model using OpenCV to track student attentiveness during video conferences
• Developed educational curriculum and trained over 650 students in programming and robotics competencies

Education

NUS Computing Business Analytics (Second Upper | Distinction)

Graduating in May 2023

Relevant Courses: Software development, Business Analytics, Data Science

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