komal priya
@komalpriya
Machine Learning Engineer with 5 years of experience in data science.
What I'm looking for
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
Machine Learning Engineer
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 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.
Education
Degrees, certifications, and relevant coursework
Sityog Institute of Technology
Bachelor of Technology, Computer Science & Engineering
2014 - 2018
Bachelor's Degree in Computer Science & Engineering, focusing on the principles of computer science, programming, and software development.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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