AI and Data Science leader with 15+ years of experience across advanced analytics, artificial intelligence, engineering, and technology transformation, including extensive leadership experience at AT&T. Proven track record leading high-impact AI and analytics initiatives from business problem definition and solution strategy through model development, automation, operationalization, AI governance, model lifecycle management, and executive decision support.

Experienced in translating complex business challenges into scalable AI and analytics solutions and shaping data-driven strategies across customer experience, operations, sales, network, and digital transformation. Led cross-functional initiatives involving Generative AI (GenAI), Large Language Models (LLMs), Generative BI (GenBI), predictive modeling, behavioral intelligence, segmentation, forecasting, process optimization, and intelligent automation, delivering measurable operational improvements and multimillion-dollar business impact.

Strong combination of strategic leadership and hands-on technical depth, with experience managing and mentoring analytics professionals, influencing senior stakeholders, and building production-ready solutions using Python, SQL, Snowflake, Azure Databricks, machine learning, NLP, and cloud technologies. Master of Science in Applied Artificial Intelligence, with a focus on turning emerging AI capabilities into practical, scalable, governed, and sustainable business outcomes.

I’m particularly interested in opportunities where I can help organizations define and execute their AI roadmap, strengthen AI governance, build scalable data science and GenAI capabilities, accelerate automation, and lead enterprise AI transformation.

☎ +1(925)487-2113

AI-Powered Heart Disease Risk Assessment App

BitePulse AI

ClusterLens

Strivio-PM

AI-Powered Apple Leaf Specialist App

AI-Powered Maestro Finder App

AI-Powered Recipe Recommender

Menara App

Repository Name	Summary
BitePulse-AI App	Early detection and habit coaching from bite patterns
Strivio-PM App	A Free project manager tool with tasks, subtasks, assignees, and Plotly Gantt timelines (SQLite powered).
AI-Powered Apple Leaf Specialist App	Identifies common apple leaf issues from photos and provides clear care steps
AI-Powered Maestro Finder App	Shazam-style composer ID for classical piano (MIDI or audio) with a compact CNN. Streamlit UI + Colab notebooks
AI-Powered Recipe Recommender App	It's an intelligent web application that helps users discover recipes tailored to their individual preferences
AI-Powered Heart Disease Risk Assessment App	It's a tool developed to empower individuals with personalized insights into their cardiovascular health
Menara App	Build a Web App called Menara to Predict, Forecast House Prices and search GreatSchools in California - Bay Area
Maxella App	Movies Recommendations Engine (Hybrid) using TensorFlow Recommender (TFRS) and MovieLens 1 Million Dataset
Capstone Project one: Big Mountain Resort Tickets Model	To come up with a pricing model for ski resort tickets.
Reducing Traffic Mortality in the USA using K-means Clustering Powered by Tableau	To reduce Traffic Mortality in the USA using K-means Clustering Powered by Tableau
Advanced Time Series Sales Forecasting Using ARIMA & SARIMA Models	To use the latest machine learning modelling techniques more specifically ARIMA and SARIMA models to make a probable reconstruction of the sales record of the manufacturer - predicting the future, from the perspective of the past - to contribute to a full report on US public health in relation to major cigarette companies.
Customer Segmentation Using Machine Learning K-Means Clustering Powered by Tableau	To optimize wholesale Wine business using Clustering with K-means powered by Tableau
Classify Song Genres from Audio Data Using Different Binary Classifiers	To classify songs as being either 'Hip-Hop' or 'Rock' - all without listening to a single one ourselves using multiple binary Classifiers.
Predicting Credit Card Approval Using Binary Classifiers	To build multiple binary classifiers that can predict if an individual's application for a credit card will be accepted.
Predicting COVID-19 Patients Status Using Random Forests Multi-Class Classifier	Predicting the status of "COVID-19" patients using Random Forests
Tree-Based Binary Classifier - Specialty Coffee	To help RR Diner Coffee using data science and machine learning to systematically make decisions about which coffee farmers they should strike deals with.
Google vs Apple Store (Hypothesis_Testing)	To find out whether Google Play apps have higher reviews on average than Apple Store apps (or vice versa)?
SQL Data Science Projects	Many projects applying Data Science using SQL.
A/B Testing cookie CATS Game	To analyze an AB-test where we moved the first gate in Cookie Cats from level 30 to level 40. In particular, we will look at the impact on player retention.
Analyzing TV Super Bowl Data	To Analyze Super Bowl Half Time Show (e.g., find out how some of the elements of this show interact with each other).
Frequentist Inference (HypothesisTesting)	Hypothesis testing: forming a hypothesis and framing the null and alternative hypotheses.
Regression Analysis Red Wine Quality	To use exploratory data analysis (EDA) and regression to predict alcohol levels in wine with a model that's as accurate as possible.
Regression Disney Movies and Box Office Success	To perform hypothesis testing to see what aspects of a movie contribute to its success.
Gender Classification Using Logistic Regression	Predict the person gender based on their weight and height using Logistic regression model.
API: XML & JSON to Pandas	Using Python requests package to send HTTP requests to GreatSchools API (XML to Pandas) and Quandl API (JSON to Pandas).
London boroughs Housing Prices	Which boroughs of London have seen the greatest increase in housing prices, on average, over the last two decades?
Python Data Science Projects	Many projects applying Data Science using Python.