AI/ML & Decision Analytics

Amal
Farhad

Transforming complex data into strategic decisions with AI/ML and decision analytics. MSBA candidate at UC Davis specializing in machine learning, NLP, and predictive modeling.

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Machine Learning • Decision Analytics • Natural Language Processing • Data Visualization • Predictive Modeling • Statistical Analysis • A/B Testing • Machine Learning • Decision Analytics • Natural Language Processing • Data Visualization • Predictive Modeling • Statistical Analysis • A/B Testing •

Portfolio

Selected Work

01 — 06
FEATURED 2026

StreakSocial

StreakSocial is an app that is meant for people to find each other with like-minded goals, and track their progress daily. The community driven approach is meant to drive people to stay on track, and with AI integration, they can get help to stay on track.

Python Data Analysis GitHub
View Project
02 MULTI-OBJECTIVE

fairrec

Recommendation engine with IPS causal debiasing, MMR diversity reranking, and supplier-side fairness metrics. Benchmarks 5 models beyond accuracy.

RecSys PyTorch Fairness
View Project
03 CUPED + BANDITS

experiment-forge

Statistical experimentation platform with CUPED variance reduction, sequential testing, Thompson Sampling bandits, and peeking problem simulation.

A/B Testing Causal Inference Bayesian
View Project
04 +25% Accuracy

AI Rehab Support

Medical chatbot powered by Claude API. Processes research papers to provide evidence-based rehabilitation guidance.

Claude API NLP
View Project
05 85% Accuracy

Stock Market Prediction

Random Forest algorithm on lagged Yahoo Finance data. Time series analysis and feature engineering for financial forecasting.

Random Forest Time Series
View Project
06

Covid-Alert

Real-time computer vision system for social distancing and mask detection using TensorFlow and OpenCV.

Computer Vision TensorFlow OpenCV
View Project

Background

Experience

Data Scientist

Expected Aug 2026

PowerTechs — Practicum Project

  • → Developed a three-stage analytical engine using LLMs to transform unstructured job task data into semantic skill clusters for workforce development.
  • → Engineered California-specific demand models predicting skill gaps in Construction, Energy, and Transportation sectors.

Data Analyst Intern

Feb – May 2024

Emirates Group — Dubai, UAE

  • → Migrated Cargo Revenue Accounting (CRA) system; analyzed Interface Control Documents and mapped SQL table structures.
  • → Improved data integrity by 15% through systematic identification and correction of mapping discrepancies.

MS in Business Analytics

UC Davis

GPA: 3.93/4.0 • Expected Aug 2026

B.Tech in Computer Science

Vellore Institute of Technology

Aug 2024

Toolkit

Technical Skills

Python Pandas NumPy Machine Learning SQL Snowflake NLP TensorFlow R Data Visualization Tableau Power BI Statistical Modeling A/B Testing Git C++ Java

Let's work together

I'm currently seeking AI/ML and decision analytics opportunities for 2026. Let's discuss how we can turn data into measurable business outcomes.

amalfarhad@outlook.com

© 2026 Amal Farhad

San Francisco, CA