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amlfarhad/README.md

Amal Farhad

MS Business Analytics Candidate at UC Davis | Data Systems, Applied AI, and Product Analytics

Portfolio LinkedIn Email

I build analytical systems that turn messy operational data into usable products: validated data pipelines, decision dashboards, experimentation tools, and applied AI workflows. I am currently pursuing an MS in Business Analytics at UC Davis with a 3.86 GPA, after completing a B.Tech in Computer Science and Engineering at VIT.

Previously, I worked as a Data Analyst Intern at Emirates Group, where I supported revenue accounting migration work, SQL validation, data quality checks, and stakeholder documentation across enterprise systems.

Selected Work

Project Focus Stack
PowerTechs OS Full-stack workforce intelligence platform with analysis workflows, evidence traceability, validation endpoints, and executive dashboards TypeScript, React, FastAPI, Python, SQL
Experiment Forge Experimentation platform with CUPED variance reduction, sequential testing, multi-armed bandits, guardrail checks, and automated readouts Python, SQL, DuckDB, SciPy, Pytest
Customer 360 Warehouse Customer analytics warehouse integrating CRM, billing, product usage, support, and marketing sources with quality checks and dashboard outputs Python, SQL, DuckDB
Content AI Solution Lab AI content workflow system for discovery mapping, mock platform APIs, agent classification, governance controls, and demo dashboards Python, APIs, AI Agents, unittest
AI Rehab Assistant Research assistant for PubMed retrieval, evidence summarization, and LLM-powered analysis of rehabilitation literature Python, Flask, Anthropic API, PubMed

Technical Strengths

Languages        Python  ·  SQL  ·  TypeScript  ·  R  ·  C++  ·  Java
Data Systems     DuckDB  ·  SQLite  ·  Pandas  ·  NumPy  ·  ETL  ·  Data Quality
ML / AI          scikit-learn  ·  PyTorch  ·  LLMs  ·  RAG  ·  Model Evaluation
Applications     React  ·  FastAPI  ·  Flask  ·  Streamlit  ·  REST APIs
Analytics        Experimentation  ·  Product Analytics  ·  Dashboards  ·  Reporting
Tools            Git  ·  GitHub  ·  Pytest  ·  Jupyter  ·  Power BI  ·  Tableau

Current Direction

I am focused on roles where analytics, software, and applied AI meet real business workflows: data science, analytics engineering, solutions engineering, product analytics, and AI evaluation.

San Francisco, CA · Open to 2026 opportunities

Pinned Loading

  1. StreakSocial StreakSocial Public

    Goal-tracking social app with community accountability and AI-assisted motivation.

    TypeScript 1

  2. ai-rehab-assistant ai-rehab-assistant Public

    Research synthesis workspace for PubMed retrieval, LLM answer grounding, citation coverage, evidence overlap, and uncertainty evaluation.

    Python 1

  3. experiment-forge experiment-forge Public

    Statistical experimentation platform with CUPED, sequential testing, multi-armed bandits, and peeking simulation

    Python 1

  4. fairrec fairrec Public

    Multi-objective recommender system with PyTorch Neural CF, IPS debiasing, MMR diversity reranking, and fairness-aware evaluation metrics.

    Python 1

  5. stock-prediction stock-prediction Public

    Stock price prediction using Random Forest regression with GridSearchCV optimization

    Python 1

  6. amlfarhad.github.io amlfarhad.github.io Public

    Portfolio site for analytics, data science, and applied AI projects.

    HTML 1