Syed Ali R.

Senior Data Analyst & AI Consultant helping startups and global enterprises turn fragmented data into AI-augmented decisions that drive measurable business growth.
I design, build, and automate the full data stack from ingestion and warehousing to dashboards and AI-powered workflows, so your team stops firefighting reports and starts compounding insight.

Over the last decade, I've delivered end-to-end analytics systems for HUDL, Amazon, Hometap, SocialSEO, MedicatDB, and SmartHop, helping them modernize legacy stacks, migrate to cloud-native architectures (Snowflake, BigQuery), and ship dashboards that actually get used.

⚙️ Three Pillars of What I Build

1. Data Analytics & Data storytelling with executive dashboards, KPI frameworks, and self-service analytics that decision-makers actually use.
   → Tableau, Power BI, Retool, and Looker Studio.
   → UI UX driven designs, DAX, LOD calculations, performance optimization
   → MCP, Embedded analytics, Tableau Server administration

2. Data Architecture & Engineering
   Modern data stack design, warehouse migrations, and ELT pipelines that scale without breaking your budget.
   → Snowflake, BigQuery, Redshift data modeling (Kimball / Data Vault)
   → dbt for analytics engineering & lineage
   → Fivetran, Airbyte, Stitch for ingestion
   → SQL optimization, partitioning, clustering & cost control
   → Legacy-to-cloud migrations (on-prem → Snowflake/BigQuery)

3. AI Automation & Augmented Analytics
   Replacing manual reporting and repetitive workflows with AI agents and intelligent pipelines.
   → n8n, Make, Zapier orchestration with Claude / GPT / Gemini
   → RAG-based chatbots over your data warehouse (talk to your data)
   → LLM-powered ETL: auto-classification, entity extraction, sentiment scoring
   → AI-generated executive summaries from BI dashboards
   → Custom GPTs and AI agents for internal analytics teams

🏭 Industries I Specialize In
E-commerce · SaaS · Sales Operations · Healthcare · Fintech · Marketing Analytics · Real Estate · Education · Legal Tech

How I Work — A Predictable, Outcome-First Process
1️⃣ Discovery call (free, 30 min) — we map your data sources, current pain points, and the decisions you want to make faster
2️⃣ Architecture & scoping — I deliver a written plan with timelines, milestones, and a clear price 3️⃣ Build in sprints — weekly demos, async Loom updates, Git-versioned code 4️⃣ Knowledge transfer — documentation, training, and a 30-day post-launch support window