DKDhanush Kandagatla
@dhanushkandagatla
Experienced Machine Learning Engineer with a focus on data-driven solutions.
United StatesWhat I'm looking for
I am a Machine Learning Engineer with over 4 years of experience in developing and deploying machine learning solutions. My expertise lies in utilizing Python, TensorFlow, and AWS SageMaker to build scalable data pipelines and implement real-time data processing. I have a strong background in feature engineering, model training, and creating interactive dashboards with Tableau, which empowers stakeholders with actionable insights.
Throughout my career, I have successfully designed and deployed end-to-end machine learning solutions that enhance business processes. At Wells Fargo, I developed predictive models that improved forecasting accuracy by 20% and implemented CI/CD pipelines that ensured seamless model deployment. My experience at Accenture further honed my skills in building robust data pipelines and collaborating cross-functionally to achieve operational efficiency improvements.
My academic background includes a Master of Information Systems specialized in Data Science and Artificial Intelligence, where I engineered a RAG-based academic summarization assistant using GPT-4. I am passionate about leveraging machine learning to drive business success and am committed to continuous learning and improvement in this rapidly evolving field.
Experience
Work history, roles, and key accomplishments
ML Engineer
Wells Fargo
Dec 2023 - Present (1 year 6 months)
Designed and deployed end-to-end machine learning solutions within Agile frameworks, delivering production-ready models that enhanced business processes. Developed predictive models using TensorFlow, Keras, and Scikit-learn, driving a 20% improvement in forecasting accuracy. Implemented CI/CD pipelines using MLflow and Jenkins, ensuring seamless model deployment and monitoring across AWS.
ML Engineer
Accenture
Sep 2021 - Dec 2022 (1 year 3 months)
Designed and deployed ML models using TensorFlow and PyTorch, achieving a 25% improvement in operational efficiency while collaborating cross-functionally. Built end-to-end ML pipelines under Agile methodologies, incorporating best practices in data collection and design. Engineered robust data pipelines using Apache Spark and Hadoop, optimizing data ingestion and transformation for efficient mode
Data Scientist
MiraiCoders
May 2020 - Sep 2021 (1 year 4 months)
Applied ML algorithms (e.g., Logistic Regression, K-Means, SVM) to solve client challenges across retail, finance, and healthcare, actively contributing to data collection efforts. Created and maintained SQL databases for clients, enabling streamlined data querying, reporting, and analysis. Built data visualization dashboards with Tableau, providing real-time insights and actionable metrics for se
Education
Degrees, certifications, and relevant coursework
UCUniversity of Maryland, Baltimore County
Master of Information Systems, Data Science & Artificial Intelligence
Pursued a Master of Information Systems with a specialization in Data Science and Artificial Intelligence. Focused on advanced topics in data analysis, machine learning, and AI applications.
AIAnurag Group of Institutions
Bachelor of Technology, Electronics and Communications Engineering
Completed a Bachelor of Technology in Electronics and Communications Engineering. Gained foundational knowledge in electronic circuits, communication systems, and related engineering principles.
Availability
Location
United StatesAuthorized to work in
Skills
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