Programming and Data Analysis - Python, R, SQL, Jupyter Notebooks, Bash
Accomplished scientist with proven track record in data analysis and problem-solving. Developed innovative models that significantly improved decision-making processes. Highly collaborative team player, adaptable to dynamic project requirements, skilled in Python, R, and machine learning algorithms.
Product Design and Innovation: Transformed alternative data into actionable insights by designing and launching scalable products, including Pattern of Life, which analyzed location data to identify common locations and repeatable patterns, and RevIQ, a suite of semiconductor analytics built on Bazze's alternative data platform.
Efficiency and Client Impact: Created user-centric workflows that automated complex manual analysis—reducing timeframes from weeks or months to minutes—by integrating diverse data types and AI-driven analysis to deliver actionable insights for Wall Street and Government Agency clients.
Research and Validation: Conducted extensive research across all products and endpoints, synthesizing fragmented data sources to validate models, map locations, and uncover critical relationships, enabling high-accuracy outputs and actionable trends.
Product Creation: Designed products like SmartQuote, enabling dealerships to respond to online inquiries with personalized mobile offers, and the Service Product, which targeted high-value repairs with automated messages and location-based push notifications.
Driving Results: Automated customer outreach workflows, boosting contact rates by 3x compared to cold outreach. Optimized engagement strategies through A/B testing and data analysis, increasing conversions and dealership ROI.
Customer Insights: Partnered with dealerships to analyze customer behavior, validate ROI, and refine product effectiveness based on interaction data and engagement patterns.
Product Development: Drove product development from concept to launch, creating mobile offer solutions tailored to dealership needs.
Market Research: Conducted target market research to analyze industry competition and identify trends, shaping product strategy and positioning.
Client Engagement: Built key relationships with dealerships and refined offerings based on customer feedback and engagement data.
Python programming
Programming and Data Analysis - Python, R, SQL, Jupyter Notebooks, Bash
AI and Machine Learning - Hugging Face, OpenAI APIs, Neural Network Training, RapidFuzz, Clustering Algorithms, TensorFlow
Big Data and Cloud Platforms - Docker, Runpod, AWS 3, AWS Sagemakes
Deep Learning Predictive Models - Neural Networks, RNNs, Transformer Models, Anomaly Detection, Dimensionality Reduction, Seq2Seq, Time-Series Forecasting
Regressions - Lasso, Ridge, Linear, Logistic, Stepwise, Quantile
Visualization and Reporting - Tableau, Plotly, Matplotlib, Google Data Studio
Web and Cloud Tools - APIs, Twilio, Git
Other - Synthetic Data Generation, Language Translation Tools, Mobile Wallet Offers, Statistical Software (eg, SAS, SPSS)