COMPANIES I'VE WORKED FOR

I'M
Prithvi Raj Juloori.

Data Analyst @ Louisiana Department of Health

PJ

Prithvi Raj Juloori
Data Analyst | Business Analytics

• Advanced Data Analytics & Machine Learning Expert: Over five years of experience enhancing data workflows and decision-making with tools like SQL, Tableau, Python, and SAS. Specialized in predictive modeling and machine learning algorithms that improve system efficiencies and user experiences.
• Proven Technical Leadership: Demonstrated ability in leading data projects that intersect with strategic business goals. Direct collaboration with CTOs to streamline processes, boosting operational efficiency by up to 30%.
• Impactful Business Intelligence Implementations: Developed and optimized data-driven strategies across various industries including healthcare, technology, and consumer sectors, significantly improving analytical capabilities and business outcomes.

SKILLS

KNOWLEDGE LEVEL

Python

75%

70%

SQL

90%

Tableau

85%

SPSS

80%

PowerBI

85%

Jira

80%

Google Analytics

85%

Advanced Excel

90%

PROFESSIONAL

PROJECTS

CUSTOMER ANALYTICS
ETSY SHOP ANALYSIS

DATA VISUALIZATION
STARBUCKS

USED CAR PRICE PREDICTION

CONJOINT ANALYSIS PLAYSTATION 5 VS XBOX SERIES X

FIFA 23
PLAYER PERFORMANCE TABLEAU DASHBOARD

Experience

10/2023 - Present

Louisiana Department of Health (Via UL Lafayette)

Data Analyst

Strategic Data Leadership: Directly reporting to the CTO, I spearhead the enhancement of data collection processes using SQL, integrating diverse sources such as databases, APIs, and Snowflake to achieve a 30% surge in operational efficiency.
Predictive Modeling in Healthcare: Develop and integrated predictive models, such as logistic regression and decision trees, into health data research workflows using SAS. This work included analyzing trends in Electronic Health Records (EHR) to predict patient outcomes, ensuring HIPAA compliance, and effectively leveraging these insights to enhance healthcare process efficiency by 25%.

01/2023 - 06/2023

SAP

Data Analyst

Product Initiatives: Utilized backlog management and user story techniques to align product development with strategic goals, achieving a 15% improvement in alignment and accelerating product time-to-market by 10%.
Database Query Enhancement: Optimized SQL queries for SAP databases, reducing query execution times by 30% and improving the monitoring of development velocity through detailed analytics.
Comprehensive Data Dashboard Creation: Developed a unified data visualization dashboard integrating inputs from GitHub, Figma, and Jira, which cut down data analysis time by 40%.
Interdepartmental Analytical Collaboration: Worked closely with Product and Development teams to refine and highlight essential metrics, enhancing the impact and precision of data dashboards by 20%.

05/2021 - 06/2023

Apple Inc.

Data Analyst

Dashboard Innovation: Revolutionized data analysis by designing Tableau dashboards, reducing review times by 40% and accelerating the data annotation process.
Predictive Modeling for Siri: Developed predictive models to enhance Siri's understanding of user queries, reducing response errors by over 20% and integrating diverse data sources to enrich Siri’s knowledge base.
Machine Learning Implementation: Implemented machine learning algorithms using TensorFlow and Scikit-Learn to refine Siri’s response mechanisms, increasing accuracy and efficiency by automating data classification and prediction tasks.
Natural Language Processing (NLP): Advanced Siri’s language processing capabilities by applying NLP techniques with NLTK and SpaCy to better interpret and respond to user commands, significantly improving user interaction with iOS devices.

05/2019 - 11/2020

Monster Energy

Marketing Data Analyst

A/B Testing and Analysis: Conducted comprehensive A/B testing and user behavior analysis to optimize website design, navigation, and content strategy.
Data-Driven Marketing Optimization: Utilized SQL and Python for data manipulation and visualization, precisely targeting marketing efforts and facilitating a data-driven approach to campaign optimization, achieving a 20% increase in ROI for key product lines.