Koushik Meesala
Actively looking for full-time Data Analyst roles | Currently working as a Data Analyst at Databricks | MS in Data Science & Business Analytics
- Role
- Data Analyst at Databricks
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Koushik Meesala
Analytical and results-driven Data Analyst with 3 years of experience leveraging Python, SQL, Spark, and Databricks to deliver data-driven business insights and machine learning solutions. Proven success in building scalable ETL pipelines, predictive models, and interactive BI dashboards that enhance decision-making and operational efficiency. Skilled in data visualization, cloud analytics (AWS, Databricks), and translating complex datasets into strategic recommendations. Adept at collaborating cross-functionally to drive measurable impact in fast-paced, data-centric environments across technology and consulting domains
Experience
Data Analyst
Nov 2024 — Present · US
Architected and implemented large-scale product usage analytics pipelines using PySpark, Databricks Notebooks, and Delta Lake, processing over 2.5 billion telemetry events to derive actionable insights on platform engagement and user behavior. • Designed and deployed unsupervised machine learning models (K-Means, DBSCAN) in MLlib to segment enterprise users by feature adoption, session activity, and retention behavior uncovering three critical adoption cohorts that shaped quarterly product strategy. • Developed interactive Tableau dashboards visualizing feature utilization, cohort retention, and drop-off funnels for 100K+ enterprise clients, empowering Product and Strategy teams to make data-backed design decisions. • Partnered cross-functionally with Product, Data Science, and Engineering stakeholders to translate analytics findings into operational initiatives, driving a 28 % improvement in feature adoption and a 19 % increase in daily active users (DAU) within two product release cycles. • Automated recurring ingestion and transformation workflows through Databricks Workflows and AWS Lambda, reducing reporting latency from 12 hours to under 1 hour and improving data refresh reliability by 95 %. • Applied advanced SQL optimization and Delta caching strategies to enhance query performance across petabyte-scale datasets, cutting compute costs by 15 %
Education
University of North Carolina at Charlotte
Master of Science - MS, Computer Science, Major: Data Science and Business Analytics
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