Kshama Kumar

About Kshama Kumar

Hi, I’m a data professional with a passion for solving real-world problems through data. Over the past few years, I’ve been fortunate to work on projects and challenges that have shaped me into someone who loves turning raw data into actionable insights and innovative solutions.At Justia, I’ve built data pipelines that process over 13GB of search engine ranking data every month, helping the team make smarter decisions about SEO strategies and boosting organic search traffic. I’ve also dug deep into user behavior, analyzing patterns behind newsletter subscriptions and churn, and came up with strategies to reduce unsubscribe rates by up to 35%. One of the things I’m most proud of is how I’ve streamlined web crawlers to ensure data freshness with 90% faster turnaround—keeping our systems running smoothly and efficiently.My toolbox includes Python, SQL, Tableau, and platforms like AWS, GCP, and Azure. I love diving into big data technologies like Spark and Kafka, but I’m just as excited to explore emerging tools like OpenAI and Hugging Face. Machine learning is another area I enjoy, especially when it involves building predictive models or uncovering hidden trends that can drive better decisions.Outside of my day-to-day work, I’ve worked on projects like creating an automated pothole detection system using computer vision, which showed me how impactful technology can be in improving processes and solving practical issues.Right now, I’m looking for my next opportunity in data engineering, machine learning, or analytics. I’m excited to bring my skills to a team that values curiosity, collaboration, and creating something meaningful with data. Let’s connect—I’d love to learn more about what you’re working on and explore how we can make an impact together.

Experience

1. Data Engineer i

   Justia

   May 2024 — Present · Mountain View, CA, US

   Contributed significantly to a 30% increase in job listings by developing a dynamic data pipeline for nationwide court job postings, utilizing Scrapy for precise web scraping and optimization of data storage and retrieval processes to accommodate diverse structures.Conducted in-depth analysis of newsletter subscribe-unsubscribe patterns, identifying critical churn factors, and proposed actionable strategies, potentially reducing unsubscribe rates by up to 35%.Worked closely with editorial and QA teams to enhance a PHP-based data parsing project, resulting in streamlined processes and improved project efficiency.

Education

• Padre Conceicao College of Engineering Agnel Ashram Verna

  Bachelor's degree, Computer Engineering

  2012 — 2016

• Seattle University

  Master of Science - MS, Computer Science - Data Science