About Me
Data Scientist with 4 years of experience building machine learning models and data pipelines that drive business impact. I specialize in developing end-to-end ML solutions, from data engineering to model deployment, with expertise in deep learning, NLP, and computer vision.
Currently pursuing my M.S. in Statistical Data Science at San Francisco State University, I've delivered measurable results at companies like Clusteratech and Suguna Media Network through scalable ML systems, automated pipelines, and data-driven insights that influence product strategy and business decisions.
Education
M.S. Statistical Data Science
San Francisco State University
GPA: 3.56/4.0
Aug 2024 – Dec 2026 (Expected)
Advanced Machine Learning, Deep Learning, Big Data with Spark, NLP, Computer Vision
Programming Languages
Machine Learning
Frameworks & Libraries
Big Data & Cloud
Data Visualization
Developer Tools
Work Experience
Clusteratech
Developed and optimized machine learning models and ETL pipelines processing millions of records, resulting in an 8% increase in product engagement and improved user retention metrics. Built automated, scalable dashboards using Python, SQL, and Tableau to track acquisition, retention, and conversion funnel metrics, enabling data-driven decision making across product teams. Partnered with cross-functional engineering and product teams to translate complex data insights into actionable recommendations, influencing feature development and product strategy.
Suguna Media Network
Engineered scalable data pipelines and real-time dashboards for marketing campaign performance monitoring, processing data from multiple channels and touchpoints. Applied causal inference methods and advanced ML models to optimize multi-channel campaign targeting strategies, achieving 12% higher engagement rates and improved ROI. Delivered comprehensive statistical analysis and visualizations to business stakeholders, facilitating data-driven decisions on marketing spend and channel optimization.
Headlines Media Group
Automated large-scale data workflows and ETL processes using Python and SQL, reducing analytics reporting time by 40% and improving data reliability for business intelligence. Created interactive Tableau and Power BI dashboards for comprehensive user behavior analysis and content engagement monitoring across web and mobile platforms. Built and deployed predictive models for churn prediction and retention forecasting, driving data-informed content strategy and personalized user experiences.
Featured Projects
End-to-end machine learning solutions delivering measurable business impact through advanced analytics and automation.
Customer Churn Prediction System
Developed end-to-end predictive models using XGBoost and logistic regression achieving 87% accuracy in churn detection. Engineered features from user behavior data and built automated monitoring dashboards enabling proactive retention strategies that reduced churn by 18%.
Multi-Channel Marketing Attribution
Created comprehensive attribution models utilizing clustering and regression techniques on large-scale datasets. Improved marketing ROI by 18% through accurate channel performance measurement and budget reallocation decisions.
Deep Learning Image Classification
Designed and trained CNN models using TensorFlow and PyTorch for complex image recognition tasks, achieving 90% accuracy. Implemented distributed GPU training in AWS and GCP environments, reducing training time by 60% through optimized pipeline architecture.
Additional Projects
More data science and machine learning projects showcasing diverse technical capabilities
Certifications
Professional certifications validating expertise in data science, machine learning, and cloud technologies.
Google Professional Data Analytics Certificate
Comprehensive program covering data analysis, visualization, and statistical methods using industry-standard tools.
TensorFlow Developer Certificate
TensorFlow
Professional certification demonstrating proficiency in building and training neural networks using TensorFlow.
Databricks Certified Associate Developer for Apache Spark
Databricks
Certification validating expertise in building scalable data pipelines and processing big data with Apache Spark.
AWS Certified Machine Learning - Specialty
Amazon Web Services
Advanced certification demonstrating ability to design, implement, and maintain ML solutions on AWS.
Leadership & Involvement
Committed to fostering growth in the data science community through mentorship, leadership, and active participation in professional organizations.
Graduate Teaching Assistant
Aug 2025 – PresentSan Francisco State University
Mentored 100+ students on privacy analytics and data engineering best practices. Created assignments linking statistical theory to practical data science applications. Enhanced communication and teamwork through cross-departmental mentoring initiatives.
Impact: Improved student comprehension and practical skills in privacy-focused data science
Vice President, Analytics Club
2024 – 2025San Francisco State University
Led SQL/Tableau workshops for 100+ attendees enhancing data literacy. Organized technical workshops and industry speaker events connecting students with data science professionals.
Impact: Increased club membership by 40% and established partnerships with 5 tech companies
Participant - Women in Data Science (WiDS)
2025WiDS San Francisco 2025
Active participant in the global Women in Data Science conference, engaging with cutting-edge research presentations and contributing to diversity initiatives in data science.
Impact: Built network of 50+ female data scientists and promoted diversity and inclusion