Data Scientist

Summary

I am a seasoned Data Scientist with over 9 years of experience specializing in machine learning, predictive analytics, and big data solutions across industries including healthcare, finance, retail, and automotive. My expertise spans the entire data science lifecyclefrom data acquisition and cleaning to modeling, deployment, and visualization.

Throughout my career, I have leveraged Python, PySpark, and cloud technologies (AWS, Azure, GCP) to build scalable data-driven solutions. I have hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras, and have designed predictive models that improved decision-making and operational efficiency in complex business environments.

At Safeway and BCG, I led initiatives involving advanced analytics, NLP, and model validation, and implemented hybrid models that enhanced accuracy and business insight. My work at Fannie Mae drove strategic financial analytics, saving the organization significant operational costs through data-driven recommendations.

Proficient in SQL, Tableau, and Power BI, I excel at transforming large datasets into actionable insights that guide executive decisions. My major achievements include optimizing machine learning pipelines, developing robust BI dashboards, and contributing to enterprise-wide data migration and modernization efforts.

Driven by curiosity and precision, I aim to bridge business needs with advanced AI solutions, continuously improving performance through innovation and collaboration.

Expectations

Im looking for a role where I can apply my data science and machine learning expertise to solve real-world business problems and drive measurable impact. Im particularly interested in opportunities that involve end-to-end model development, experimentation, and deploying data-driven solutions at scale.

I value environments that encourage innovation, collaboration, and continuous learning, especially where I can work with modern data platforms, LLMs, and cloud-based AI systems. Ideally, I want to contribute to a team that leverages advanced analytics and AI to optimize strategy, improve customer experiences, and make informed business decisions.

Employment Preferences

Expected Base Salary

**5,000 USD

Expected Total Compensation

**5,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree

Experience

Skills

• Data Scientist
• Machine Learning
• Deep Learning
• Artificial Intelligence
• Predictive Modeling
• Data Mining
• Data Analytics
• Python
• R
• SQL
• PySpark
• Big Data
• Hadoop
• Spark
• TensorFlow
• Keras
• PyTorch
• NLP
• Natural Language Processing
• Computer Vision
• Data Visualization
• Tableau
• Power BI
• Qlik
• R Shiny
• Azure
• AWS
• GCP
• Google Cloud
• Amazon Web Services
• Data Engineering
• ETL
• Data Pipeline
• Data Lake
• Data Warehouse
• Statistical Modeling
• Time Series Analysis
• Regression
• Classification
• Clustering
• Data Transformation
• Feature Engineering
• Model Evaluation
• Model Deployment
• A
• B Testing
• Experiment Design
• Business Intelligence
• Data Governance
• Data Quality
• Data Migration
• Data Architecture
• Data Strategy
• Hive
• Impala
• MapReduce
• NoSQL
• Cassandra
• Redshift
• Snowflake
• DataBricks
• Agile
• Scrum
• Business Analytics
• Healthcare Analytics
• Financial Analytics
• Retail Analytics
• Predictive Analytics
• Quantitative Analysis
• Cloud Computing
• Git
• GitHub
• NumPy
• Pandas
• Scikit-learn
• Matplotlib
• Seaborn
• SciPy
• Data Storytelling
• Statistical Analysis
• Exploratory Data Analysis
• BigQuery
• SQL Server
• Data-Driven Decision Making
• AI Solutions
• Model Optimization
• Data Integration