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Hello! I’m Asritha, a data scientist with 4+ years of experience creating end-to-end ML solutions from data collection to deployment. I enjoy translating complex datasets into clear business insights that drive operational efficiency and strategic decisions. My work spans predictive analytics, NLP, generative AI, and cloud-based data engineering, with a focus on turning data into measurable value for healthcare, tech, and enterprise teams. I thrive in collaborative environments, partnering with cross-functional stakeholders to define problems, engineer robust features, and deploy scalable models using Python, SQL, AWS, and Databricks. When I’m not building models, I’m crafting dashboards and BI narratives to tell compelling data stories that guide decision-making.…Hello! I’m Asritha, a data scientist with 4+ years of experience creating end-to-end ML solutions from data collection to deployment. I enjoy translating complex datasets into clear business insights that drive operational efficiency and strategic decisions. My work spans predictive analytics, NLP, generative AI, and cloud-based data engineering, with a focus on turning data into measurable value for healthcare, tech, and enterprise teams. I thrive in collaborative environments, partnering with cross-functional stakeholders to define problems, engineer robust features, and deploy scalable models using Python, SQL, AWS, and Databricks. When I’m not building models, I’m crafting dashboards and BI narratives to tell compelling data stories that guide decision-making.

ASRITHA SAI CHADIVE

Data Scientist, AI Engineer, Data Analyst, +4

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Hello! I’m Asritha, a data scientist with 4+ years of experience creating end-to-end ML solutions from data collection to deployment. I enjoy translating complex datasets into clear business insights that drive operational efficiency and strategic decisions. My work spans predictive analytics, NLP, generative AI, and cloud-based data engineering, with a focus on turning data into measurable value for healthcare, tech, and enterprise teams. I thrive in collaborative environments, partnering with cross-functional stakeholders to define problems, engineer robust features, and deploy scalable models using Python, SQL, AWS, and Databricks. When I’m not building models, I’m crafting dashboards and BI narratives to tell compelling data stories that guide decision-making.…Hello! I’m Asritha, a data scientist with 4+ years of experience creating end-to-end ML solutions from data collection to deployment. I enjoy translating complex datasets into clear business insights that drive operational efficiency and strategic decisions. My work spans predictive analytics, NLP, generative AI, and cloud-based data engineering, with a focus on turning data into measurable value for healthcare, tech, and enterprise teams. I thrive in collaborative environments, partnering with cross-functional stakeholders to define problems, engineer robust features, and deploy scalable models using Python, SQL, AWS, and Databricks. When I’m not building models, I’m crafting dashboards and BI narratives to tell compelling data stories that guide decision-making.

Available to hire

Hello! I’m Asritha, a data scientist with 4+ years of experience creating end-to-end ML solutions from data collection to deployment. I enjoy translating complex datasets into clear business insights that drive operational efficiency and strategic decisions. My work spans predictive analytics, NLP, generative AI, and cloud-based data engineering, with a focus on turning data into measurable value for healthcare, tech, and enterprise teams.

I thrive in collaborative environments, partnering with cross-functional stakeholders to define problems, engineer robust features, and deploy scalable models using Python, SQL, AWS, and Databricks. When I’m not building models, I’m crafting dashboards and BI narratives to tell compelling data stories that guide decision-making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

Data & Operations Analyst Intern at Cougar Woods Dining Establishment

March 1, 2025 - May 1, 2026

Developed predictive analytics models utilizing transactional and inventory datasets to improve demand forecasting accuracy and support operational planning. Analyzed 500+ inventory SKUs and purchasing trends, reducing stock variances by 20% through data-driven inventory optimization strategies. Built automated Python-based reporting workflows and executive dashboards that improved financial visibility and reduced reporting preparation time by 35%. Applied statistical analysis techniques to evaluate procurement performance, contributing to a 12% reduction in operational purchasing costs. Designed data quality validation processes that improved forecasting accuracy to 95% across budgeting and cost-management initiatives. Partnered with business stakeholders to deliver analytical insights supporting resource planning and operational decision-making.

Data Scientist at Optum

July 1, 2023 - July 1, 2024

Developed machine learning models for healthcare analytics and member behavior prediction using Python, SQL, and cloud-based data platforms. Built feature engineering and data preprocessing pipelines processing 2M+ healthcare records to improve model performance and analytical accuracy. Applied predictive modeling techniques to identify high-risk populations, improving intervention targeting efficiency by 22%. Developed automated data science workflows using AWS and Databricks, reducing data preparation effort by 40%. Created interactive dashboards and KPI frameworks enabling stakeholders to monitor healthcare utilization, engagement, and operational performance. Collaborated with cross-functional teams to translate business requirements into scalable data science and analytics solutions.

Data Science Intern at Optum

January 1, 2023 - June 1, 2023

Supported development of machine learning and statistical models for healthcare analytics, population health management, and operational reporting. Performed exploratory data analysis and feature engineering on structured and semi-structured healthcare datasets containing 500K+ records. Built SQL-based analytical datasets and automated reporting solutions that improved data accessibility and reporting efficiency by 30%. Conducted hypothesis testing and statistical analysis to identify patterns impacting healthcare outcomes and operational performance. Assisted in model validation, performance monitoring, and business impact analysis activities supporting enterprise analytics initiatives. Developed visualizations and analytical reports used by leadership teams for data-driven decision-making.

Data Analytics Intern at Cardinal Health

April 1, 2022 - October 1, 2022

Developed data transformation and analytics workflows supporting healthcare supply chain and operational intelligence initiatives. Processed and analyzed large-scale logistics and operational datasets to identify trends, anomalies, and process improvement opportunities. Built automated ETL workflows and data quality checks improving consistency and reliability of business-critical reporting assets. Applied statistical and trend analysis techniques to support inventory optimization and operational planning activities. Developed dashboards and performance metrics tracking key operational KPIs across supply chain functions. Contributed to analytics initiatives that improved reporting accuracy and accelerated business decision-making.