Results-oriented Senior Data Scientist with a decade of experience applying advanced machine learning and statistical modeling techniques to extract insights and tackle complex business challenges. Proficient in project planning, execution, and stakeholder management, consistently achieving outstanding results. Skilled in machine learning methodologies, optimization techniques, text mining, data analysis, and predictive modeling. Strong track record in leading teams, data visualization, and cloud computing, delivering successful project outcomes and process enhancements.
Overview
8
8
years of professional experience
1
1
Certification
Work History
Data Scientist
Pinnacle Group .inc
05.2023 - Current
Shad works Technologies is a pioneer in providing Big Data-enabled solutions across banking, insurance and telecom industries
Directed model development, validation, testing, and implementation of analytical products and applications
Developed an additive scoring model for QSM & a logistic regression model to yield a K-S statistic of 51.5
Tested and implemented decision trees, random forests, and ensemble models via bagging and boosting
Employed Principle Component Analysis to analyze collinearity and reduce the dimensionality of datasets
Enhanced model reliability, robustness, & predictive performance by 15% through the incorporation of industry-specific keywords like Bayesian Model Averaging (BMA).
Data Scientist
Paragon Financial Services
08.2016 - 01.2021
Paragon, a leader in financial market intelligence, has operations in 80+ countries & renders financial services to 40,000+ customers worldwide
Conducted extensive research on revenue management and pricing analytics in the hospitality sector
Boosted revenue potential & enhanced customer engagement through the implementation of neural networks, gradient boosting, & random forest for dynamic pricing models
Gathered pricing data from different aggregators by performing web scraping in Python for competitive analysis
Achieved a 25% revenue increase by developing & implementing a Machine Learning-powered yield management algorithm in Python, utilizing Tensor Flow & Sickie-learn, & deploying on AWS Lambda
Enhanced revenue by 15% by implementing machine learning algorithms, statistical analysis tools, and root cause analysis for loss minimization & optimization techniques
Led the development of a hotel performance assessment and pricing analysis platform created via k-NN Algorithm
Created multivariate regression-based attribution models using ad stock analysis from digital marketing data
Enhanced user segmentation by crafting K-means Clustering models in Python & R, resulting in a 50% increase in conversion rates
Conceptualized and implemented a sentiment analysis tool to rate hotels based on subjective customer reviews.