Data Analyst in IOT

Hard Skills

- IoT Data Integration & Management

- Time-Series Data Analysis

- Machine Learning & Predictive Modeling

- SQL & NoSQL Databases (PostgreSQL, InfluxDB, MongoDB)

- Python (Pandas, NumPy, Scikit-Learn, TensorFlow)

- Cloud Platforms (AWS IoT, Azure IoT Hub)

- Stream Processing (Apache Kafka, AWS Kinesis)

- Data Visualization (Tableau, Power BI, Grafana)

- API Development & Integration

Soft Skills

- Analytical Thinking & Problem Solving

- Communication of Technical Insights

- Agile Methodology & Cross-team Collaboration

- Adaptability to Rapid Tech Changes

- Project Management & Stakeholder Engagement

*Senior IoT Data Analyst*

*InnovateIoT Solutions, San Francisco, CA*

June 2022 – Present

- Led deployment of real-time analytics platform processing data from >50,000 IoT sensors across manufacturing plants, reducing equipment downtime by 25%.

- Developed predictive models for equipment failure, achieving 92% accuracy, enabling preemptive maintenance scheduling.

- Collaborated with hardware teams to enhance sensor data collection protocols, improving data quality and reducing noise by 15%.

- Created dashboards in Grafana for operational teams, providing clear insights into device health and performance metrics.

*IoT Data Analyst*

*SmartMetrics Inc., Austin, TX*

July 2019 – May 2022

- Designed ETL pipelines for ingestion of sensor data from smart home devices, increasing data processing efficiency by 30%.

- Analyzed user interaction data to identify feature usage patterns, informing product development and personalized user experiences.

- Implemented anomaly detection algorithms for IoT network security, successfully identifying and mitigating 8 cybersecurity threats.

- Presented weekly insights to clients, translating complex data into strategic recommendations, enhancing client retention.

*Junior Data Analyst*

*ConnectedDevices Corp., Boston, MA*

August 2017 – June 2019

- Maintained and optimized SQL databases storing data from wearable health devices.

- Supported senior analysts in developing machine learning models to predict device battery drain.

- Created monthly reports detailing device usage and maintenance logistics for enterprise clients.

**Bachelor of Science in Data Science and Analytics**

University of California, Berkeley

Graduated: 2017

- Certified IoT Professional (CIoTP) – IoT Alliance 2023

- AWS Certified Data Analytics – Specialty (2024)

- Microsoft Certified: Azure Data Scientist Associate (2023)

Smart Factory Predictive Maintenance System

- Developed a comprehensive IoT data pipeline integrating sensor streams via AWS IoT Core, enabling real-time anomaly detection.

- Implemented deep learning models in TensorFlow to forecast equipment failures, reducing unplanned downtime by 30%.

Residential Energy Consumption Optimization

- Analyzed residential energy usage data from smart meters, uncovering patterns leading to 15% reduction in energy costs for participating households.

- Created a user-friendly dashboard in Power BI, allowing homeowners to monitor and manage their energy consumption proactively.

- **Languages:** Python, SQL, JavaScript

- **Platforms:** AWS IoT, Azure IoT Hub, Google Cloud IoT

- **Databases:** InfluxDB, MongoDB, PostgreSQL

- **Visualization:** Grafana, Tableau, Power BI

- **Frameworks:** TensorFlow, Scikit-learn, Apache Kafka, Docker

- English (Native)

- Spanish (Professional Working Proficiency)