Data Scientist Intelligence Analyst

Bharath (Barry) Murthy

Manhattan Beach, CA ***** 310-***-**** ************@*****.*** linkedin.com/in/bamurthy About

Data Scientist & Research

Analyst with experience in

data analysis, predictive

modeling, and business

intelligence. Proficient in

Python, SQL, and R with

applications in dashboards,

forecasting, and

experimental design. Adept

at turning complex data into

actionable insights for

business, healthcare, and

research applications.

Core Competencies

• Data Analysis &

Forecasting

• Business Intelligence &

Dashboards

• Statistical and Regression

Modeling

• Secure Data Management

• Team Collaboration &

Leadership

• Data Privacy &

Compliance

Technical Skills

Programming: Python, R,

MATLAB

Visualization: Power BI,

Tableau, Microsoft Visio

Databases: SQL Server,

MongoDB, Microsoft

Access

Certification

• W3 Schools – Data

Science Fundamentals

Work Experience

Raytheon Missiles & Defense – Data Scientist / Research Analyst

Tucson, AZ 2022 – May 2024

• Built real-time dashboards in Power BI to monitor key performance indicators, enabling leaders to make data-driven decisions.

• Led root cause analysis and corrective action reviews, ensuring quality and compliance across cross-functional teams.

• Developed predictive models and visualizations to support reliability metrics and regulatory reporting.

Physical Optics Corporation (now Mercury Systems, Inc.) – Research Data Analyst

Torrance, CA 2017 – 2021

• Created predictive models and time series analyses in Python to forecast outcomes and optimize processes.

• Conducted research in biometric authentication and presented findings in technical proposals.

Education

Syracuse University – M.S., Applied Data Science (2022) Key Coursework: Data Analysis & Decision Making, Natural Language Processing, Business Analytics, Data Visualization, Scripting in Python, Research Methodologies & Survey Methods

UC Riverside – B.S., Statistics (2017)

Key Coursework: Regression Analysis, Design of Experiments, Probability & Statistics for Engineering, Statistical Computing Project Highlights

• Conducted supervised and unsupervised learning analyses, applying Random Forest and SVM techniques to stock price movement studies.

• Participated in Kaggle competitions to optimize inflammatory response flagging in online forums.

• Designed and implemented database UI using SQL Server Manager and Microsoft Access for streamlined navigation and data management

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