Syed Danish Hussain
§ Github | ï LinkedIn | # Emial | H Phone
Summary
Data Science Graduate from FAST NUCES, I focus on building high accuracy machine learning models.
I bridge the gap between theoretical data science and real-world impact by architecting end-to-end AI
automation pipelines, RAG-based LLM integrations, and scalable ETL workflows.
Work Experience
Data & AI Automation Specialist — (Freelance) Florien, Australia
Feb 2026 – Present
– Built and managed enterprise-grade automation flows across HubSpot, n8n, and Notion, centralizing
CRM operations and reducing manual intervention across key business processes.
– Engineered bidirectional data sync pipelines and automated HubSpot workflows to ensure real-time
operational visibility and process consistency.
Business Analyst — Turing, Palo Alto, California
Jan 2026 – Feb 2026
– Evaluated AI model outputs through side-by-side comparisons, fact-checking, and structured reasoning
analysis for AI research pipelines.
– Produced detailed justifications aligned with strict quality and evaluation guidelines.
Operations Executive — BNR360, Ottawa, Canada
Jul 2025 – Feb 2026
– Sourcing bid/RFP from Canadian government portals, coordinating proposal development and service
delivery for Zernam Enterprises.
– Managing client & resource contracts, billing sheets, timesheets, extensions, and confidential document
handling on SharePoint.
Data Science Intern — Digital Empowerment Network
Jul 2025 – Sep 2025
– Virtual internship focused on Data Science, contributing to projects while completing assigned tasks
and utilizing Google Classroom resources.
Django Intern — TIERS Limited, Boston, MA
Jun 2025 – Aug 2025
– Learning Django, performing tasks leading to a complex real-life project implementation.
Quality Assurance Analyst — Tinktanc, Manchester, NH
Nov 2024 – Apr 2025
– Conducted Black Box, Ad-Hoc, and Regression testing for iOS/Android apps and websites.
– Resolved 95% of UI/UX bugs and improved usability and reliability of applications.
Junior Product Manager — BNR360, Ottawa, Canada
Jun 2024 – Oct 2024
– Designed & documented features for an AI-powered recruitment platform, reducing UAT cycles by 30%.
– Collaborated with developers and marketing teams to ensure timely, high-quality releases.
Skills
Data & AI Data Analysis, Data Visualization, AI-Automation, Machine Learning
Tech Stack Python, SQL, C++, R, Node, React, Make.com, n8n, HubSpot, Notion
Education
BS in Data Science at FAST NUCES, Islamabad, Pakistan
(2022 – 2026)
Certificates
Make Academy Certifications (Basics, Intermediate, Advanced, Foundation),
Data Science and Analytics (July 2025),
Simplifying Artificial Intelligence for Everyday Use (Udemy, Issued July 2025)
Projects
Family Office Intelligence Platform
6 stage enrichment pipeline (Apify, Apollo, Hunter, SEC
EDGAR) producing 220 validated family office records
across 13 countries; ChromaDB RAG with OpenAI embeddings deployed live on Streamlit; Claude powered 197
Dollar SaaS trip-wire product (Signal Scanner) with PDF
export and PolarityIQ ascension hooks.
LullabAI (FYP)
Built an AI-web application enabling parents to generate
customized moral-based story videos for children via NL
prompts, with end-to-end AI pipeline featuring fine-tuned
LLMs with RAG and RL for context-aware generation,
integrated AI narration synthesis, and deployed diffusion
models for automated video production and clip stitching
Targeted Business Lead Gen Engine
Developed a chatbot triggered Apify workflow to scrape
Google Maps and crawl websites for verified contact details. Fully automated data cleaning and delivery to
Google Sheets, replacing manual prospecting with a seamless, on demand pipeline.
TGA-Compliant SEO Content Machine N8N pipeline orchestrating multi-agent Claude API
(writer, compliance auditor, SEO enricher), SEMrush
keyword scoring, Perplexity research, and SerpApi PAA
extraction to auto-publish daily TGA-compliant healthcare blogs to Prismic CMS. Challenge: adversarially isolating the compliance agent to enforce therapeutic goods
advertising law without cross-contaminating generation
context.
PowerDialer.AI Backlink Outreach
Built a targeted lead generation system using n8n, Apify,
Google Custom Search, and Hunter.io to source and verify
niche startups and OpenAI to analyze content and generate unique outreach scripts, eliminating manual data
entry.
Retail Data Warehouse
Engineered a star schema warehouse and multi-threaded
ETL using HYBRIDJOIN on 550K+ streams to optimize
analytical performance.
RAG AI Chatbot
Built a personalized chatbot using Cloudflare Workers,
Mistral AI, Vectorize, and D1 for contextual responses
and memory.
Spam Email Classifier
ML ensemble achieving 98.6% accuracy; deployed Flask
dashboard with advanced UI.
Shopify Web Development
Designed and developed multiple high-conversion
Shopify stores (PeptivePeptides.com, Nasmascarf.co.uk,
Nasma.store, RyskStore.com) with complete UI/UX,
multilingual support, AI Automated order workflows,
AI chatbot integration, and full digital marketing setup
across Meta and TikTok.
