Sakshi Suman

About Sakshi Suman

Thanks for visiting my LinkedIn profile! Quick info about me: I am a highly motivated and detail-oriented Machine Learning Engineer and Data Scientist (and Northeastern University alum!) with 3+ years of experience in developing and deploying machine learning (ML) models for various applications with expertise in Machine learning, computer vision, NLP and RecSys. I am also proficient in Python, Java, Kubernetes, Docker, SQL, and cloud services. I offer a strong background in developing large-scale distributed software services and solutions at companies including Walmart, Squark, Amazon, LinkedIn and Pelatro.KEY SKILLS:Languages: Python, SQL, Java, C++ JavaScript, R.Frameworks: PyTorch, TensorFlow, Keras, Pandas, NumPy, Scikit-learn, OpenCV.Deployment: AWS, Docker, Kubernetes, Microsoft Azure, MLOps.Data Analysis: Matplotlib, PySpark, Hadoop, MongoDB, MySQL, Posgres, HBase.Developer Tools: IntelliJ IDEA, VS Code, Git, CI/CD, Docker.Functional: ML, DL, Computer Vision, Data Analytics, NLP, AI, Data Modeling, Model deployment.EDUCATION: MS in Applied Mathematics (ML & Data Science), Northeastern UniversityBTech in Computer Science, Reva UniversityHIGHLIGHTS:In my previous role at Amazon, I had the opportunity to optimize logo embeddings and develop a distribution-based classifier to prevent brand infringement for a renowned brand like Louis Vuitton. Through my work, I improved the precision of the existing classifier by 7% and achieved a 6% increase in recall, resulting in a significant reduction in false positives.My experience at LinkedIn involved developing end-to-end machine learning models for fraud job detection, improving precision by 21% at an 80% recall compared to existing models. These experiences have honed my skills in architecting and deploying scalable solutions while collaborating with cross-functional stakeholders.In my current role as a Machine Learning Engineer at Squark, I have gained substantial experience in creating user-friendly platforms empowered by AI, enabling businesses to extract meaningful insights from data. I have successfully managed the deployment, maintenance, and updates of these platforms while ensuring smooth integration and deployment across various environments using CI/CD pipelines, Docker, and Kubernetes.Thanks for stopping by, and please feel free to reach out anytime! I’d like to leverage my technical skills, collaborative mindset, and track record of delivering high-quality software solutions in my next role. Looking forward to chatting!

Experience

1. Senior Machine Learning Engineer

   Intuit

   Dec 2024 — Present · Mountain View, CA, US

Education

• REVA University

  Bachelor of Engineering - BE, Computer Science

• Northeastern University

  Master of Science - MS, Applied Mathematics