Bharath Beeravelly
@bharathbeeravelly
Data Analyst skilled in predictive modeling and data-driven solutions.
What I'm looking for
I am a dedicated Data Analyst with a strong background in predictive modeling and performance analysis. My experience includes automating data pipelines and building real-time dashboards that facilitate strategic decision-making. I excel at translating complex statistical outputs into actionable insights that drive operational improvements.
Throughout my career, I have successfully led various projects, including an end-to-end MLOps automation using AWS SageMaker and conducting extensive statistical analyses on health datasets. My work has consistently resulted in improved accuracy and efficiency, as evidenced by a 15% increase in case prediction accuracy during my time at Stevens Institute of Technology.
As a Microsoft Certified Azure Data Scientist Associate, I am passionate about deploying scalable machine learning models in cloud environments. I thrive in collaborative settings and am committed to leveraging data to support informed decision-making across teams.
Experience
Work history, roles, and key accomplishments
Research Analyst
Stevens Institute of Technology
Sep 2022 - Jan 2025 (2 years 4 months)
Led predictive analytics project by integrating and analyzing over 20,000+ time-series COVID-19 related news articles to support early epidemic forecasting and public response planning
Improved case prediction accuracy by 15% over baseline models using a custom Transfer Learning framework (TLSS), applying advanced statistical testing such as Diebold-Mariano Test to validate
Associate Member Technical Staff
Model N, Inc
Jul 2021 - Jun 2022 (11 months)
Created over 10 advanced statistical methods and predictive analytics, increasing forecast accuracy by 25% and supporting strategic decision-making for product and process improvements. Revamped 15+ end-to-end data analysis projects, including data gathering, processing, and algorithm development, resulting in actionable insights that improved operational efficiency by 10%.
Stevens Institute of Technology
Model N, Inc
Jul 2021 - Jun 2022 (11 months)
Created over 10 advanced statistical methods and predictive analytics, increasing forecast accuracy by 25% and supporting strategic decision-making for product and process improvements
Revamped 15+ end-to-end data analysis projects, including data gathering, processing, and algorithm development, resulting in actionable insights that improved operational efficiency by 10%
Collaborated
Education
Degrees, certifications, and relevant coursework
Stevens Institute of Technology
Master's, Machine Learning
2022 - 2024
Grade: 3.9
Vasavi College of Engineering, Osmania University
Bachelor's, Computer Science & Engineering
2017 - 2021
Grade: 3.8
Vasavi College of Engineering, Osmania University
Bachelor of Engineering, Computer Science & Engineering
Completed a Bachelor of Engineering in Computer Science & Engineering. Gained foundational knowledge in computer science principles and engineering applications.
Stevens Institute of Technology
Master of Science, Machine Learning
Pursued a Master of Science degree with a specialization in Machine Learning. Focused on advanced topics in machine learning, including predictive modeling and data analysis.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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