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Kush S Patel

@kushspatel

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Data Scientist passionate about leveraging analytics for impactful decision-making.

United States

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What I'm looking for

I am looking for a role that fosters innovation and offers opportunities for professional growth in data analytics.

I am a dedicated Data Scientist with a strong foundation in business analytics and mathematics, currently pursuing my Master of Science at the University of Texas at Austin. My academic journey has equipped me with a robust skill set, including advanced statistical modeling and data analysis techniques. I pride myself on my ability to transform complex data into actionable insights, enhancing operational efficiency and driving strategic decisions.

In my current role at Microsoft, I have successfully boosted marketing ROI by 30% through the development of a real-time optimization model that integrates neural networks and GenAI-powered insights. My experience at Lone Star Analysis further honed my analytical skills, where I spearheaded initiatives that led to a 35% increase in operational efficiency for the U.S. Air Force. I am passionate about utilizing data to solve real-world problems and continuously seek opportunities to innovate and improve processes.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Microsoft

Dec 2023 - Present (1 year 6 months)

As a Data Scientist at Microsoft, I boosted marketing ROI by 30% through a real-time optimization model and enhanced user engagement by 1.3x via A/B testing. I developed scalable data pipelines and dashboards, analyzing over 75 GB of unstructured data, and integrated advanced NLP techniques to refine sentiment analysis, increasing customer satisfaction by 22%.

Data Science A B Testing Neural Networks NLP Data Pipelines Marketing Analytics Python Dashboard Development User Engagement

Data Analyst

Lone Star Analysis

Oct 2022 - Jun 2024 (1 year 8 months)

At Lone Star Analysis, I led initiatives that increased operational efficiency by 35% for the U.S. Air Force through ETL processes and predictive modeling. I executed over 800k Monte Carlo simulations and automated reporting, saving over 500 manpower hours while ensuring timely stakeholder updates within an agile framework.

Data Analysis ETL Processes Python Agile Methodologies Data Visualization Cloud Platforms Stakeholder Management

Backend Database Management Intern

Renzoe Box

Jun 2022 - Aug 2022 (2 months)

During my internship at Renzoe Box, I developed facial landmark detection models using OpenCV and TensorFlow, improving authentication accuracy by 40%. I collaborated with UI/UX teams to enhance the mobile app interface and managed projects that generated over 1,000 client touchpoints.

Backend Development Facial Landmark Detection OpenCV TensorFlow Project Management Authentication Mobile App Development Client Engagement Data Analysis

Electrical Engineering and Computer Science Intern

UTeach Outreach

Aug 2021 - May 2022 (9 months)

As an intern at UTeach Outreach, I led coding workshops for over 60 students, enhancing their learning experience with Python and Arduino. I also designed virtual lesson plans and contributed to recruitment and marketing initiatives to promote the program.

Teaching Python Arduino Curriculum Development Marketing Student Engagement Recruitment

Education

Degrees, certifications, and relevant coursework

The University of Texas at Austin – McCombs School of Business

Master of Science, Business Analytics

2023 - 2025

Grade: 3.79

Pursuing a Master of Science in Business Analytics, focusing on data-driven decision making and advanced analytical techniques.

The University of Texas at Austin

Bachelor of Science, Mathematics

2022 - 2022

Grade: 3.67

Completed a Bachelor of Science in Mathematics with a minor in Business and a certificate in Applied Statistical Modeling. Participated in a semester abroad at Uppsala University, Sweden.