About
Highly accomplished and results-driven Senior Data Analyst with over 8 years of experience in designing end-to-end data solutions that bridge technical implementation with business strategy. Expert in transforming complex datasets into actionable narratives through advanced ETL processes, statistical modeling, and interactive visualizations. Proven leader in data stack migrations and self-service analytics initiatives, driving multi-million dollar savings and revenue growth across diverse industries including e-commerce, healthcare, and retail.
Work
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Summary
Currently leading advanced data solution architecture and strategic migrations to enhance supply chain efficiency and drive significant cost savings for a leading re-commerce platform.
Highlights
Architected and implemented an advanced transportation modeling solution using Python and SQL, optimizing supply chain routes to reduce transit times by 18% and generate $200K in annual cost savings.
Spearheaded the enterprise-wide data stack migration from Snowflake to BigQuery, designing and executing ELT/ETL processes while ensuring zero data loss and maintaining reporting continuity.
Led the strategic migration of 60+ Tableau dashboards to Metabase, engineering interactive dashboards and advanced queries that improved decision-making velocity by 40% and enabled self-service analytics.
Developed customer segmentation models for fraud detection in partnership with data science, improving the delinquency recommendation engine by 25% and reducing inventory returns.
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Summary
Designed and built scalable, end-to-end data pipelines, consolidating diverse data sources into a unified framework to enable real-time business insights and support strategic growth initiatives across international markets.
Highlights
Designed and built scalable, end-to-end data pipelines, consolidating diverse data sources into a unified framework to enable real-time business insights and support strategic growth initiatives across the US, UK, and Canada.
Automated weekly and monthly data models and dashboards using Python scripts and ETL workflows, eliminating over 60 hours of manual work monthly and significantly improving data accuracy.
Implemented robust data governance standards and documentation protocols that standardized metric definition across the organization, enhancing data consistency and reliability.
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Summary
Applied advanced analytical techniques, including ML and A/B testing, to optimize marketing campaigns and enhance user engagement for a digital marketing agency.
Highlights
Defined business objectives and scope, audited websites, and developed data-driven strategies to drive conversion, retention, and engagement.
Developed ML models using NLP techniques, improving user segmentation accuracy by 35% and reducing acquisition costs by 18%.
Optimized multi-channel marketing campaigns through A/B testing and cohort analysis, scaling return on ad spend to 2.75x.
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Summary
Developed and executed comprehensive data lifecycle management systems and SEO strategies to significantly increase organic traffic and reduce acquisition costs for a media company.
Highlights
Developed a full data lifecycle management system covering the collection, processing, and visualization of marketing performance.
Executed data-driven SEO strategy using keyword analysis and content optimization techniques, increasing organic traffic by 34% and reducing paid acquisition costs by $45K annually.
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Summary
Engineered real-time KPI dashboards and established clinical data workflows to enhance sales performance and improve treatment accuracy for a leading pharmaceutical company.
Highlights
Engineered real-time KPI dashboards visualizing sales performance metrics for the $12M Digene brand (24% YOY growth), enabling effective territory management.
Contributed to the successful launch of Digene Fizz, which generated $160K in its first quarter.
Established an infrastructure for clinical data workflows across 30 cities, integrating lifestyle modification programs for patients and improving treatment accuracy by 37%.
Skills
Languages
SQL, Python, R, C++.
Cloud Platforms
GCP (BigQuery, Vertex AI, Pub/Sub), AWS (Redshift, S3, Lambda, Rekognition, CLI), Snowflake, Azure.
BI & Visualization
Tableau, Metabase, Looker, Quicksight, PowerBI, Oracle BI, Matplotlib, Seaborn, ggplot2, R Shiny.
Big Data & ETL
GIT, DBT, ETL, Airflow, Kafka, Spark, Hadoop, MapReduce, Hive, Impala, Cloudera.
Machine Learning & Statistics
pandas, NumPy, Scikit-Learn, Statsmodel, NLTK, TensorFlow, PyLab, Sci-Py, Supervised & Unsupervised Learning, K-Means, ARIMA, Time Series Analysis, Linear Regression, Predictive Modeling.
Database Modeling
ER-Diagrams, SDLC, Dimensional Diagrams, Star and Snowflake Schemas.