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yashaswi kakumanu

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ABOUT ME
Machine Learning Engineer / Data Scientist
Machine Learning Engineer / Data Scientist

I'm a Passionate Machine Learning engineer where I'm always eager to pick challenges and sort out an issue within a confined time. Would love to lend a hand and collaborate with people in solving problems. I have working experience in MNCs for around 5 years. My expertise lies in Python, Machine Learning, Data science,C#,Angular,Devops ,AWS and AWS Sagemaker

English
Chennai (+05:30)
Joined May 2022
EXPERTISE
AWS SageMaker
5 years experience
AWS
5 years experience
Machine learning
5 years experience
Data Science
5 years experience
Python
5 years experience
Databricks
5 years experience
Apache Spark
5 years experience

REVIEWS FROM CLIENTS

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SOCIAL PRESENCE
Stack Overflow
709 Reputation
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EMPLOYMENTS
Machine Learning Engineer
PepsiCo, India
2023-11-01-Present

• Currently leading the development of time series models to optimize sales predictions for specific PepsiCo products.
• Spearhead...

• Currently leading the development of time series models to optimize sales predictions for specific PepsiCo products.
• Spearheading the deployment of machine learning models to production, ensuring seamless integration into the existing infrastructure.
• Collaborating closely with cross-functional teams to define requirements and deliver high-quality solutions for sales optimization.Domain - CPG

Python
Apache Spark
Data science/machine learning
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Python
Apache Spark
Data science/machine learning
Databricks
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Machine Learning Engineer
Tiger Analytics, India
2022-07-01-2023-11-01

• Spearheaded team of 4 to successfully onboard and deploy machine learning models developed on platforms such as <a href="http://h2o....

• Spearheaded team of 4 to successfully onboard and deploy machine learning models developed on platforms such as h2o.ai, DataRobot, and R onto AWS SageMaker, resulting in improved model performance and operational efficiency.
• Dockerized native model artifacts, enabling batch transformations and monitoring via AWS SageMaker pipeline.
• Efficiently managed infrastructure setup across dev and production accounts with Terraform and Azure pipelines.
• Conducted comprehensive vulnerability scans to ensure data security and compliance with client requirements.
• Implemented a financial prospect recognition system, resulting in a 40% cost reduction for the client.Domain-Insurance

Python
Machine learning
Data Science
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Python
Machine learning
Data Science
MLOps
AWS
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Senior Analyst - MLE
Tiger Analytics, India
2021-12-01-2022-06-01

• Orchestrated end-to-end model building, monitoring, CI/CD pipeline, and scalable models on AWS SageMaker, improving overall developm...

• Orchestrated end-to-end model building, monitoring, CI/CD pipeline, and scalable models on AWS SageMaker, improving overall development efficiency.
• Engaged in agile pipeline deployment via Scrum process with 1-week sprints, ensuring prompt delivery and efficient team collaboration.
• Developed custom Sagemaker preprocessors, Estimators, and Docker estimator images for building pipelines using Sagemaker workflows. Orchestrated the entire pipeline using AWS Step Functions, enhancing the workflow automation.
• Designed and deployed a production-level scalable MVP platform for underwriters, reducing processing time from 2 weeks to just 5 minutes.Domain-Insurance

Python
AWS SageMaker
MLOps
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Python
AWS SageMaker
MLOps
AWS
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