Data Analyst in AI

Hard Skills

- Data Visualization & Dashboarding (Tableau, Power BI, Looker)

- Programming Languages (Python, R, SQL)

- Machine Learning & AI Frameworks (TensorFlow, scikit-learn, PyTorch)

- Data Management & ETL Pipelines (Apache Airflow, Talend)

- Cloud Platforms (AWS SageMaker, Google Cloud AI, Azure ML)

- Statistical Analysis & Predictive Modeling

- NLP Techniques for Text Data Analysis

- Big Data Technologies (Spark, Hadoop)

Soft Skills

- Critical Thinking & Problem-solving

- Domain-specific Communication (Finance, Healthcare, Retail)

- Cross-functional Collaboration

- Agile Methodologies

- Continuous Learning & Adaptability

*Senior Data Analyst – AI Solutions | InnovateAnalytics Inc.*

San Francisco, CA | June 2022 – Present

- Led a team of 4 data scientists in developing AI-powered customer segmentation models that increased user engagement by 15%.

- Designed and implemented scalable data pipelines on AWS, reducing data retrieval time by 40%.

- Collaborated with product teams to integrate machine learning models into real-time dashboards, enabling proactive churn prevention strategies.

- Conducted exploratory data analysis and built predictive models validated through cross-validation, achieving 85% accuracy in sales forecast predictions.

*Data Analyst – AI & Data Science | TechWave Solutions*

New York, NY | August 2019 – May 2022

- Developed NLP models to automate customer feedback analysis, reducing manual review time by 60%.

- Built and maintained dashboards for executive leadership, providing real-time insights into key KPIs using Power BI.

- Supported the deployment of an anomaly detection system in the supply chain, reducing delivery delays by 12%.

- Conducted A/B testing and hypothesis-driven analysis to optimize marketing campaigns, resulting in a 20% lift in conversion rates.

*Data Analyst Intern | BrightData Analytics*

Remote | Summer 2018

- Assisted in cleaning and organizing large datasets for predictive analytics projects in finance.

- Created visual reports highlighting trends in credit risk, used to inform risk mitigation policies.

**Bachelor of Science in Data Science**

University of California, Berkeley

Graduated: 2018

- AWS Certified Machine Learning – Specialty (2023)

- Microsoft Certified: Data Analyst Associate (2022)

- Certified Analytics Professional (CAP) (2021)

AI-powered Customer Churn Prediction System

- Developed an end-to-end machine learning system that predicts customer churn with 87% accuracy, integrated into the client’s CRM platform.

- Utilized Python, scikit-learn, and cloud deployment on AWS SageMaker, improving proactive retention strategies.

Real-time Fraud Detection Dashboard

- Built a scalable real-time analytics dashboard for transaction monitoring, detecting anomalies instantly and reducing fraudulent transactions by 18%.

- Leveraged Spark streaming, Kafka, and Tableau, facilitating seamless operational oversight.

- Python, R, SQL, Spark, Hadoop

- TensorFlow, PyTorch, scikit-learn

- Tableau, Power BI, Looker

- AWS (SageMaker, Lambda), Google Cloud AI, Azure ML

- Apache Airflow, Talend, Docker, Kubernetes

- English (Native)

- Spanish (Professional Working Proficiency)