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komal priya

@komalpriya

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Machine Learning Engineer with 5 years of experience in data science.

India

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What I'm looking for

I am seeking a challenging role that allows me to leverage my machine learning expertise and contribute to innovative projects.

I am a dedicated Machine Learning Engineer with around 5 years of experience in both research and development within the field of Data Science. My journey began at Tata Consultancy Services, where I honed my skills in data analysis and machine learning, contributing to significant improvements in data accuracy and operational efficiency. I successfully managed large datasets, streamlined data collection processes, and collaborated with teams to identify business trends that informed strategic decisions.

Currently, I am working at Accenture, where I have developed a machine learning model that enhanced click-through rates on ads by 20%. My expertise spans across various domains, including Natural Language Processing and Computer Vision, and I am proficient in utilizing advanced tools and frameworks such as TensorFlow, Keras, and AWS services. I am passionate about leveraging data to drive impactful solutions and am eager to take on new challenges in a similar domain.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Accenture

Apr 2021 - Present (4 years 2 months)

As a Machine Learning Engineer, I developed a predictive model that improved ad click-through rates by 20%. I utilized various tools for data annotation and conducted A/B testing, enhancing user engagement by 10%. My role involved data analysis and ETL process development.

Machine Learning Deep Learning Python TensorFlow Keras AWS SQL Annotating A B Testing Data Analysis

Machine Learning Researcher

Tata Consultancy Services

Jul 2018 - Mar 2021 (2 years 8 months)

In my role as a Machine Learning Researcher, I managed large datasets and streamlined data collection processes. I created BI dashboards that improved data accuracy and collaborated with teams to analyze data trends, enhancing financial products.