Radhikareddy Chintareddy
Data Analyst | Data Scientist | Business Intelligence Expertise in Python, SQL, ETL, Advanced Statistics, Data Warehouse, Big Data, Machine Learning, Predictive Modeling, and Data Visualization
- Role
- Data Analyst Data Scientist at Allydvm
- Location
- Reston, VA, US
- LinkedIn followers
- 500 followers
About Radhikareddy Chintareddy
I am a versatile data professional with a Master’s in Applied Data Science and experience in data analysis and business intelligence. I specialize in transforming raw data into actionable insights, leveraging proficiency in Python, R, and SQL. My expertise spans statistics, machine learning, data mining, database modeling, data visualization, data warehouses, big data analysis, and deep learning. Beyond academia, I worked as a Data Analyst at AllyDVM, where I enhanced data workflows and dashboards by optimizing Redshift queries and refining Looker visualizations, ensuring accurate and impactful insights for business teams. Prior to that, I gained valuable business experience as an Assistant Executive Engineer, conducting data-driven analysis to optimize construction projects. My responsibilities included improving cost and timeline efficiency, developing dashboards to track project progress and resource utilization, and collaborating with cross-functional teams to enhance reporting processes and data accuracy. I am passionate about solving real-world problems and enabling organizations to make data-driven decisions that drive growth. I am actively seeking opportunities in Data Analytics, Data Science, and Business Intelligence, where I can leverage my skills to deliver impactful solutions. Let’s connect if you’re looking for a data enthusiast ready to make a difference in your organization!#DataAnalytics #DataScience #MachineLearning #BusinessIntelligence #DataVisualization
Experience
Data Analyst Data Scientist
Jun 2024 — Present · Boise, ID, US
Designed and implemented data-driven solutions using EMR, EHR, and PMS data to improve patient retention, appointment scheduling, and healthcare engagement.Developed and optimized scalable data models based on clinical and financial data from EHR and PMS systems, enabling better forecasting and operational efficiency.Automated data integration workflows for third-party systems, reducing manual intervention and improving real-time tracking of patient activity and billing status.Conducted predictive analysis on patient behavior using PMS scheduling data, reducing no-show appointments and improving scheduling accuracy by surfacing actionable trends.Collaborated with healthcare stakeholders to define KPIs, build dashboards, and extract operational insights using integrated data sources.Ensured HIPAA-compliant handling of data across financial and patient reporting workflows, reducing compliance-related risks and audit exposure.
Education
Clarkson University
Masters
2023 — 2024
Birla Institute of Technology and Science, Pilani
Civil Engineering
2004 — 2009
Great Lakes and The University of Texas at Austin, McCombs School of Business.
Post Graduate Program in Data Science and Business Analytics
2020 — 2021
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