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I'm an AI/ML engineer and data scientist with over four years of experience delivering data-driven solutions across healthcare and IT domains. I enjoy turning complex data into actionable insights and collaborating with cross-functional teams to drive business impact. I design end-to-end ML workflows, build scalable data pipelines, and deploy models to production using cloud platforms and modern MLOps practices. I'm proficient in Python, SQL, and a range of machine learning frameworks, and I’m passionate about leveraging AI responsibly to solve real-world problems.…I'm an AI/ML engineer and data scientist with over four years of experience delivering data-driven solutions across healthcare and IT domains. I enjoy turning complex data into actionable insights and collaborating with cross-functional teams to drive business impact. I design end-to-end ML workflows, build scalable data pipelines, and deploy models to production using cloud platforms and modern MLOps practices. I'm proficient in Python, SQL, and a range of machine learning frameworks, and I’m passionate about leveraging AI responsibly to solve real-world problems.

Ramya Konda

AI Engineer, Data Scientist, Data Analyst

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I'm an AI/ML engineer and data scientist with over four years of experience delivering data-driven solutions across healthcare and IT domains. I enjoy turning complex data into actionable insights and collaborating with cross-functional teams to drive business impact. I design end-to-end ML workflows, build scalable data pipelines, and deploy models to production using cloud platforms and modern MLOps practices. I'm proficient in Python, SQL, and a range of machine learning frameworks, and I’m passionate about leveraging AI responsibly to solve real-world problems.…I'm an AI/ML engineer and data scientist with over four years of experience delivering data-driven solutions across healthcare and IT domains. I enjoy turning complex data into actionable insights and collaborating with cross-functional teams to drive business impact. I design end-to-end ML workflows, build scalable data pipelines, and deploy models to production using cloud platforms and modern MLOps practices. I'm proficient in Python, SQL, and a range of machine learning frameworks, and I’m passionate about leveraging AI responsibly to solve real-world problems.

Available to hire

I’m an AI/ML engineer and data scientist with over four years of experience delivering data-driven solutions across healthcare and IT domains. I enjoy turning complex data into actionable insights and collaborating with cross-functional teams to drive business impact.

I design end-to-end ML workflows, build scalable data pipelines, and deploy models to production using cloud platforms and modern MLOps practices. I’m proficient in Python, SQL, and a range of machine learning frameworks, and I’m passionate about leveraging AI responsibly to solve real-world problems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Expert

Work Experience

Data Analyst

May 1, 2020 - May 1, 2020

Built and automated data pipelines using Python and SQL to extract, clean, and transform large data sets, improving data processing efficiency by 30%. Created interactive dashboards and KPI reports using Power BI and Tableau to drive faster decision-making by 25%. Performed exploratory data analysis (EDA) and statistical summaries; designed ETL workflows and maintained data integrity across AWS Redshift and on-prem databases. Automated reports with Excel and Python, reducing manual errors by 20%.

Data Scientist at Hexaware Technologies

June 1, 2022 - June 1, 2022

Developed end-to-end machine learning models using Python (Pandas, Scikit-learn, TensorFlow) to forecast customer churn and demand, increasing predictive accuracy by 28%. Orchestrated and optimized large-scale data pipelines leveraging SQL, Apache Spark, and AWS Redshift, reducing data processing latency by 40%. Engineered robust features and refined hyperparameters using XGBoost and LightGBM. Designed and presented interactive data visualizations using Power BI and Tableau. Containerized ML models using Docker and deployed with MLflow, enabling scalable AI insights across cloud environments. Collaborated with cross-functional teams to modernize ML pipelines and deliver actionable insights.