Maruthamuthu K Sowmeya
Data Scientist | M.Sc Applied Data Science @ Syracuse University | Associate data Engineer @ Accenture (Contractor Geico Insurance) | Machine Learning Intern @ Indian Institute of Technology
- Role
- Data Scientist at Blue Nalu Analytics
- Location
- Jaipur, IN
- LinkedIn followers
- 500 followers
About Maruthamuthu K Sowmeya
As a skilled Data Science M.Sc graduate and 5+ years of experience, I bring expertise in predictive analytics, machine learning, and big data. With hands-on experience across diverse projects, I specialize in leveraging tools like Python, Azure, and SQL to drive data-driven solutions, optimize operations, and enhance decision-making for businesses worldwide. Key Professional Highlights: 1. Data Analytics and Visualization: Conducted deep analyses and built interactive dashboards for Blue Nalu Analytics, leading to a 15% increase in restaurant turnover by optimizing parking utilization and understanding customer behavior. Predictive Maintenance and IoT Solutions: As a Graduate Research Assistant at Syracuse University, implemented predictive maintenance for Mercedes-Benz, reducing unexpected breakdowns and maintenance costs by 21.35% while enhancing reliability and sustainability. Software and IT Solutions: At Accenture, delivered end-to-end IT solutions for GEICO Insurance using Duck Creek technologies, streamlining workflows and enhancing customer satisfaction through innovative application development and third-party integrations. Big Data and Real-Time Monitoring: At NCC Limited, deployed real-time sensor-driven systems integrated with big data platforms (Kafka, Hadoop, Spark), boosting equipment efficiency by 15% and reducing downtime by 20%. Notable Projects: 1. Water Quality Prediction: Leveraged classification models to achieve 99.9% accuracy in predicting water quality, demonstrating a strong foundation in data modeling and environmental analytics. Bank Customer Churn Prediction: Developed predictive models using Spark for churn detection, enabling businesses to proactively address customer retention challenges. E-Commerce Analytics with Azure: Utilized Azure services to analyze and predict customer behavior for Olist, enhancing sales strategies with robust cloud-based solutions. Vehicle Telemetry Anomaly Detection using Real-Time Streaming: Built real-time data pipeline with Apache Kafka to ingest OBD device telemetry, deployed predictive models on AWS Lambda for anomaly detection, reduced sensor noise using wavelet transforms reducing false positives by 40% Skills and Expertise:*Programming: Python, R, SQL *Big Data and Cloud: PySpark, Hadoop, Azure Machine Learning, Azure Data Factory *Machine Learning and AI: NLP, Neural Networks (ANN), Generative AI, Time Series Analysis *Visualization and Tools: Tableau, Matplotlib, PowerApps, Azure Blob Storage *Other Technologies: Docker, Red Hat Linux, MapReduce, Duck Creek
Experience
Data Scientist
May 2024 — Present · US
Education
JECRC University
Bachelor of Technology, Computer Science and engineering
2016 — 2020
Syracuse University
Master of Science - MS, Applied Data science
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