Open to opportunities

Aish Kavel

@aishkavel

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Seasoned Data Scientist specializing in AI-driven solutions and analytics.

United States

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What I'm looking for

I am seeking a role that challenges me and allows for growth in AI and data science, with a focus on innovative projects and collaborative environments.

With over 6 years of experience as a Data Scientist and Machine Learning Engineer, I have a proven track record of transforming raw data into actionable insights that drive business success. My expertise spans Business Intelligence, Data Analytics, and AI-driven solutions, enabling clients to dominate their markets through data-driven decision-making.

In my most recent role as a Senior Data Scientist at Styleseat, I developed an intelligent inventory management system that improved stock retrieval and order processing by 21%. My work optimizing SQL queries and data warehousing on AWS Redshift resulted in a 3x reduction in data latency. I am passionate about leveraging machine learning to create innovative solutions, such as computer vision models that enhance catalog accuracy and customer search experiences.

Throughout my career, I have successfully collaborated with cross-functional teams to align data science initiatives with business goals. My projects, including a churn prediction model that saved ~$500K annually and a GenAI-powered chatbot for healthcare, showcase my ability to deliver impactful results. I am committed to continuous learning and applying cutting-edge technologies to solve complex problems.

Experience

Work history, roles, and key accomplishments

Senior Data Scientist

Styleseat

Jun 2023 - May 2025 (1 year 11 months)

Built an intelligent inventory management system using data structures and statistical methods, improving stock retrieval and order processing by 21%. Optimized SQL queries and warehousing on AWS Redshift to reduce data latency by 3x.

Data Structures Statistical Methods SQL AWS RedShift Docker Airflow Computer Vision Zapier N8n

Data Scientist

Plainsight

Apr 2021 - Mar 2023 (1 year 11 months)

Partnered with product and engineering to align data science initiatives with healthcare business goals. Built a churn prediction model that reduced patient drop-off by 22%, saving ~$500K annually.

Churn Modeling Fraud Detection Chatbot Healthcare Analytics Data Science Machine Learning AI

Machine Learning Engineer

SambaNova Systems

Oct 2018 - Jan 2021 (2 years 3 months)

Optimized complex SQL queries and implemented partitioning strategies on AWS Redshift, reducing query latency by 47% for high-volume dashboards. Participated in the company’s first machine learning PoC, laying the groundwork for future advanced analytics initiatives.

SQL AWS RedShift Machine Learning Data Governance Git

Education

Degrees, certifications, and relevant coursework

University of Washington

MS Coursework, Data Science

2016 - 2018

Activities and societies: Relevant Coursework: Machine Learning, Computer Vision, Data Mining & Predictive Analytics, Statistical Modeling & Inference

Completed coursework in Data Science, focusing on Machine Learning, Computer Vision, Data Mining & Predictive Analytics, and Statistical Modeling & Inference. These studies provided a strong foundation in advanced data analysis and predictive modeling techniques.

Virginia Commonwealth University

BS, Computer Science

2013 - 2016

Activities and societies: Key Courses: Data Structures & Algorithms, Databases, Structure and Interpretation of Computer Programs, Introduction to Data Analytics, Discrete Mathematics.

Obtained a Bachelor of Science in Computer Science, with key courses including Data Structures & Algorithms, Databases, and Introduction to Data Analytics. This curriculum provided a comprehensive understanding of fundamental computer science principles and their applications.