actively looking · Toronto · Open to Remote
● DA Profile
Saayed
Alam
Alam
Data Analyst · SQL · Python · BI
3+
Years in Analytics
F500
Visa · Microsoft · Google
6K+
Hospitals Analyzed
Saayed Alam · Toronto
Visa
Microsoft
Google
Ipsos
Data Analyst with 3+ years of experience, including client-facing work at Ipsos for Fortune 500 brands. I translate complex datasets into clear decisions — across SQL, Python, Tableau, Power BI, and ML.
Targeting roles in fintech, banking, and market research where rigorous analysis drives real outcomes.
experience
Work History
Independent Analytics Projects
Self-Directed · Data Analyst
Jan 2025 — Present
Toronto, ON
Built end-to-end ML pipeline predicting loan default risk across 300K+ applicants using LightGBM and SHAP, with Tableau dashboard for non-technical stakeholders.
Analyzed 6,000+ CMS hospitals using 20+ advanced SQL queries — window functions, CTEs, pivots — to surface regional infrastructure gaps visualized in Tableau.
Developed automated Google Trends pipeline with Prophet forecasting and live Streamlit dashboard tracking global meditation interest across 50+ countries.
Ipsos
Data Analyst
Aug 2022 — Jan 2025
Toronto, ON
Delivered analytics and reporting for Fortune 500 clients including Visa and Microsoft, supporting brand performance tracking and strategic decision-making.
Selected as SME to operationalize a Random Forest–based driver analysis solution — co-authored internal training materials and supported model interpretation across teams.
Led high-volume production of 30+ survey-based reports per month while managing multiple concurrent projects under tight client deadlines.
Built Excel automation to validate incoming survey datasets, reducing manual errors and improving processing speed across the data quality pipeline.
Trusted to own the Visa account end-to-end — technical deliverables, stakeholder communication, and offshore team coordination.
preCharge
Risk Operations Analyst
Jan 2017 — Aug 2019
New York, NY
Promoted to analyst within 6 months after improving investigation workflows, reducing case retrieval time by ~50%.
Investigated 40–60 transactions per day using OSINT techniques to validate purchaser identities and reduce fraud exposure for e-commerce clients.
Identified emerging fraud patterns and presented findings to leadership, directly influencing client onboarding decisions and risk policy thresholds.
projects
Featured Work
flagship
ML
Tableau
Interpretable Credit Risk Scoring
Predicted loan default risk across 300K+ applicants using LightGBM — then made the model explainable with SHAP so non-technical stakeholders could act on it. Live Tableau dashboard covers model results, feature importance, and risk segmentation.
SQL
Tableau
CMS Hospital SQL Analysis
Used 20+ advanced SQL queries to analyze 6,000+ US hospitals — uncovering regional infrastructure gaps, service disparities, and quality patterns. Findings visualized in a Tableau story designed for non-technical decision makers.
Python
Meditation Trend Pulse
Tracked shifting global interest in meditation across 50+ countries using Google Trends data — with Prophet forecasting to project future momentum. Automated daily pipeline feeds a live multi-page Streamlit dashboard.
education
Academic Background
Master of Science in Data Science
CUNY School of Professional Studies
Bachelor of Science in Applied Mathematics & Computer Science
City Tech, CUNY
skills
Technical Stack
SQL & Databases
SQL
PostgreSQL
BigQuery
Window Functions
CTEs
Pivot Queries
BI & Visualization
Tableau
Power BI
Streamlit
Dashboard Design
Data Storytelling
Python & ML
Python
Pandas
NumPy
LightGBM
SHAP
Prophet
Scikit-learn
Analysis & Stats
A/B Testing
Hypothesis Testing
Research Analytics
KPI Reporting
Trend Analysis
Variance Analysis
Data Engineering
dbt
BigQuery
Data Modeling
Pipeline Design
MLflow
Lineage
Workflow & Tools
Git / GitHub
JupyterLab
Excel / VBA
Notion
Optuna
MLflow
Domain Knowledge
Fintech
Banking
Market Research
Healthcare Analytics
Survey Methodology
Risk Analysis
Brand Analytics
Domain Knowledge
Fintech
Banking
Data Warehousing
Star Schema
ELT Pipelines
Risk Analytics
Model Documentation
contact
Get In Touch
Email
[email protected]
LinkedInlinkedin.com/in/saayedalam
GitHubgithub.com/saayedalam
ResumeDownload PDF
I'm actively looking for Data Analyst roles in fintech, banking, market research, and healthcare — in Toronto or remote. If you're hiring or want to connect, I respond within 24 hours.