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I am a data-driven MSc Computer Science graduate with a strong foundation in data analytics, machine learning, and data engineering. I enjoy building scalable pipelines in Python and SQL, leveraging AWS, Spark, and Hadoop to enable real-time analytics. I thrive on optimizing workflows, improving system reliability, and solving data infrastructure challenges. I am eager to contribute to teams that tackle complex data problems and deliver actionable insights.…I am a data-driven MSc Computer Science graduate with a strong foundation in data analytics, machine learning, and data engineering. I enjoy building scalable pipelines in Python and SQL, leveraging AWS, Spark, and Hadoop to enable real-time analytics. I thrive on optimizing workflows, improving system reliability, and solving data infrastructure challenges. I am eager to contribute to teams that tackle complex data problems and deliver actionable insights.

Karthika Garikapati

Data Scientist, AI Engineer, Data Analyst, +2

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I am a data-driven MSc Computer Science graduate with a strong foundation in data analytics, machine learning, and data engineering. I enjoy building scalable pipelines in Python and SQL, leveraging AWS, Spark, and Hadoop to enable real-time analytics. I thrive on optimizing workflows, improving system reliability, and solving data infrastructure challenges. I am eager to contribute to teams that tackle complex data problems and deliver actionable insights.…I am a data-driven MSc Computer Science graduate with a strong foundation in data analytics, machine learning, and data engineering. I enjoy building scalable pipelines in Python and SQL, leveraging AWS, Spark, and Hadoop to enable real-time analytics. I thrive on optimizing workflows, improving system reliability, and solving data infrastructure challenges. I am eager to contribute to teams that tackle complex data problems and deliver actionable insights.

Available to hire

I am a data-driven MSc Computer Science graduate with a strong foundation in data analytics, machine learning, and data engineering. I enjoy building scalable pipelines in Python and SQL, leveraging AWS, Spark, and Hadoop to enable real-time analytics.

I thrive on optimizing workflows, improving system reliability, and solving data infrastructure challenges. I am eager to contribute to teams that tackle complex data problems and deliver actionable insights.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data & Machine Learning Engineer at Succor Technologies

August 1, 2023 - April 30, 2024

Engineered an end-to-end real-time video analytics pipeline in Python, reducing end-to-end latency by 30% through the optimisation of preprocessing and inference workflows. Implemented a CNN-LSTM model (MobileNetV2) for violence detection, achieving 92% accuracy and enabling automated alert generation for enhanced system reliability. Architected a cloud-based data ingestion prototype using AWS Kinesis Data Streams for video input and Amazon S3 for scalable storage, automating processing jobs with AWS Lambda triggers.

Junior Data Analyst at Salient Global Tech

September 1, 2022 - March 31, 2023

Developed scalable ETL pipeline using Python and PySpark to integrate multi-source network data (logs, SNMP feeds), significantly improving data availability for monitoring. Built a prototype real-time ingestion system with Apache Kafka to capture network events, reducing incident response time by 25% through proactive anomaly detection. Optimised SQL Server performance (indexing, partitioning) and automated data cleaning/reporting with Python scripts, accelerating batch processing and reducing manual effort.