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@varunsripadkota
Aspiring data scientist with expertise in machine learning and data engineering.
I am a dedicated and passionate data scientist currently pursuing my Master's in Computer Science at The University of Texas at Arlington. With a strong foundation in programming and a GPA of 3.55, I have honed my skills in various programming languages, cloud platforms, and machine learning frameworks. My academic journey has been complemented by hands-on experience as a Graduate Research Assistant, where I co-authored two research papers and led data acquisition and feature engineering on large-scale datasets.
Previously, I worked as a Software Development Engineer at Cognizant Technology Solutions, where I developed backend systems and real-time data pipelines that significantly improved registration throughput and reduced latency. My contributions earned me the Pearson Client Excellence Award for performance tuning and scalable pipeline delivery. I thrive in collaborative environments and am committed to leveraging my technical skills to drive impactful data-driven solutions.
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Work history, roles, and key accomplishments
University of Texas at Arlington
Oct 2024 - Present (1 year 1 month)
Co-authored two research papers on climate change's impact on mental health and HIV case dynamics. Led data acquisition, cleansing, and feature engineering across multiple large-scale global datasets, applying time-series forecasting to evaluate GDP’s influence on HIV-related deaths.
Cognizant Technology Solutions
Oct 2022 - Present (3 years 1 month)
Developed backend systems and school registration portals using Python, Spark, and Kafka, improving registration throughput and ensuring 99.5% SLA compliance. Built real-time pipelines on GCP Dataproc and BigQuery processing 100M+ records/day, reducing end-to-end latency by 60% and system downtime by 50%.
Cognizant Technology Solutions
Apr 2022 - Present (3 years 7 months)
Developed Spark-based ETL pipelines on Hadoop and migrated PostgreSQL/MongoDB data to BigQuery with optimized schemas. Built Kafka-Spark streaming alerts and automated Airflow DAGs with full lineage, ensuring 95% SLA compliance and audit readiness.
Degrees, certifications, and relevant coursework
Masters, Computer Science
Grade: 3.55
Pursued a Master's degree in Computer Science, focusing on advanced topics in the field. Achieved a GPA of 3.55, demonstrating strong academic performance.
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