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Saayed
Alam

Data Analyst · SQL · Python · Tableau
3+ Years in Analytics
F500 Visa · Microsoft
Ipsos Fortune 500 Clients

Background in market research analytics supporting Fortune 500 brand tracking, with hands-on experience in credit risk modeling and consumer trend analysis. Experienced building end-to-end analytical workflows — from data cleaning and modeling to dashboards and executive reporting.

› view my work › get in touch › currently building: Dawnly
Saayed Alam
Toronto · Open to Remote
Actively Looking
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.
LightGBMSHAPPythonTableauPD ModelingFintech
› Case Study ⌥ GitHub ↗ Dashboard
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SQL Tableau
CMS Hospital SQL Analysis
Used 28 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.
SQLPostgreSQLTableauHealthcare
› Case Study ⌥ GitHub ↗ Dashboard
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Python Streamlit
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.
PythonProphetStreamlitForecastingAutomation
› Case Study ⌥ GitHub ↗ Dashboard
experience

Work History

Independent Analytics Projects
Self-Directed · Data Analyst
Jan 2025 — Present
Toronto, ON
Built a LightGBM classification model across 5 iterations to predict loan default probability on 300K+ applicants, achieving ROC-AUC of 0.76 on highly imbalanced data (91% non-default) ↗ case study
Wrote 28 stakeholder-framed SQL queries in PostgreSQL using CTEs, window functions, aggregations, and CASE logic to analyze quality ratings, ownership structures, and emergency service coverage across 6,000+ hospitals ↗ case study
Built an automated data pipeline ingesting Google Trends data via API daily, processing and versioning 9 cleaned datasets across global trends, country-level interest, and related queries ↗ case study
PythonSQLTableauLightGBMSHAPStreamlitProphet
Ipsos
Data Analyst
Aug 2022 — Jan 2025
Toronto, ON
Led resolution of a high-priority delayed project with VP-level visibility, coordinating across analyst, client services, and data processing teams; directly recognized by management for navigating competing priorities and driving it to completion
Delivered 30+ survey-based analytics reports per month for Fortune 500 clients including Visa, Microsoft, Samsung, and Subway — managing end-to-end execution from data validation and cleaning through analysis and final delivery
Selected alongside senior leadership as one of two analysts to support rollout of a Random Forest driver analysis solution; co-developed internal training materials and served as a point of contact for methodology questions during launch
Built Excel-based templates to validate incoming datasets from the data processing team, saving ~30 minutes per dataset and reducing data integrity issues before the analysis stage
Excel / VBAPythonRandom ForestReportingStakeholder CommsQA
preCharge
Risk Operations Analyst
Jan 2017 — Aug 2019
New York, NY
Promoted into analyst role 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 client e-commerce stores
Identified emerging fraud patterns and presented findings to leadership, influencing client onboarding decisions and risk policy thresholds
ExcelSalesforceGoogle AnalyticsOSINTRisk Analysis
education

Academic Background

Master of Science in Data Science
CUNY School of Professional Studies
New York, NY · 2020
Bachelor of Science in Applied Mathematics & Computer Science
City Tech, CUNY
New York, NY · 2018
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
Workflow & Tools
GitHub JupyterLab Excel Notion Optuna MLflow
Domain Knowledge
Fintech Banking Market Research Healthcare Analytics Survey Methodology Risk Analysis Brand Analytics
contact

Get In Touch

@ Email [email protected] in
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.