Shravan Kumar P

Data Scientist and Machine Learning Engineer with 3+ years of experience in Predictive Modelling, Data Analysis, and end-to-end ML Pipeline Development. Improved prediction accuracy by 20% and reduced manual reporting by 50% through advanced Analytics and Visualization. Expertise in Python, SQL, Machine Learning Algorithms, Cloud Deployment (AWS, Docker), and Cross-functional Team Collaboration.

SOFTWARE ENGINEER – Machine Learning (Data Science) - Eurofins IT Solutions Private Limited - Bangalore, India

(2024-05)

• Developed and optimized Supervised Machine Learning Models improving Prediction Accuracy by 20% through advanced Feature Engineering and Hyperparameter Tuning.
• Implemented robust Data Cleaning and Statistical Methodologies using Python (NumPy, Pandas), reducing data errors by 30% and ensuring high-quality inputs for Model Training.
• Built interactive Dashboards using Grafana and Power BI translating complex datasets into "Actionable Insights" adopted by 5+ "cross-functional teams".
• Deployed "containerized ML Models" using Docker, improving Deployment Efficiency and Scalability across Production Environments.

ASSOCIATE SOFTWARE ENGINEER – Machine Learning (ML) - Eurofins IT Solutions Private Limited - Bangalore, India

(2022-06 - 2024-05)

• Designed Grafana, Power BI and Excel Dashboards reducing Manual Reporting by 50% and supporting Data-Driven Decision-Making across 3+ teams.
• Performed Exploratory Data Analysis (EDA) and Data Preprocessing using Python and SQL, increasing Operational Efficiency by 25%.
• Built Automated ETL Data Pipelines using Filebeat, Metricbeat, Winlogbeat and Logstash for Real-Time Monitoring and Data Ingestion from multiple sources.
• Maintained Version Control and Code Documentation using Git and GitHub, ensuring Code Quality and Team Collaboration standards.

DATA ANALYST INTERN - Kodnest - Remote

(2022-03 - 2022-04)

• Conducted Data Analysis using Python and Excel reducing data errors by 25%; built Power BI Dashboards cutting Manual Reporting time by 30%.
• Developed and documented standardized Python Scripts for Statistical Operations, automating Metrics Tracking and Report Generation processes.

BTech - Electrical and Electronics Engineering (EEE) - Sri Venkateshwara College of Engineering (2017 - 2021)