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  Reporting Β· Data Validation Β· Data Quality Β· KPI Analysis Β· SQL Β· Excel Β· Power BI Β· Tableau Β· Stakeholder Delivery Β· Risk Analytics Β· Fraud Analysis Β· Market Research Β· Consumer Insights Β· Dashboard Design Β· Process Improvement Β· Reporting Β· Data Validation Β· Data Quality Β· KPI Analysis Β· SQL Β· Excel Β· Power BI Β· Tableau Β· Stakeholder Delivery Β· Risk Analytics Β· Fraud Analysis Β· Market Research Β· Consumer Insights Β· Dashboard Design Β· Process Improvement Β·  

Saayed
Alam

Data Analyst Β· Reporting Β· Data Quality Β· Business Insights
4+ Analytics Experience
2.5 Years at Ipsos
F500 Visa Β· Microsoft

Analytics professional with 4+ years across market research, data analysis, and risk operations, including 2.5 years as a Data Analyst at Ipsos. I turn stakeholder questions and complex data into validated reporting, KPI analysis, dashboards, and clear business findings. My recent portfolio adds hands-on SQL, Power BI, Tableau, and Python evidence across financial services, healthcare, and consumer insights.

β€Ί view my work β€Ί get in touch β€Ί explore Dawnly β€” live daily product
Saayed Alam
Toronto Β· Open to Remote
Actively Looking
projects

Featured Work

Self-Directed Portfolio Development
July–December 2025
Following family and caregiving responsibilities after Ipsos, I spent approximately six months building five self-directed analytics projects and this portfolio website. After an intentional personal break, I am now actively returning to data analytics roles.
lead project
β–¦
dbt Power BI
Fintech Analytics Engineering Platform
Built a layered dbt and BigQuery workflow that transforms historical Freddie Mac and FRED data into tested, documented marts for Power BI mortgage delinquency analysis. The included project evidence records 8 models and 24 passing tests.
SQLdbt CloudBigQueryPower BIData QualityMortgage Risk
β€Ί Case Study βŒ₯ GitHub
⬕
SQL Tableau
CMS Hospital SQL Analysis
Used 28 SQL queries to analyze a snapshot of 6,000+ Medicare-registered U.S. hospitals across facility counts, ownership, quality ratings, and reported emergency services. Findings are presented descriptively in a Tableau story.
SQLPostgreSQLTableauHealthcare
β€Ί Case Study βŒ₯ GitHub β†— Dashboard
β—ˆ
ML Tableau
Interpretable Credit Risk Scoring
Built a proof-of-concept LightGBM model across 300K+ applications, evaluated threshold trade-offs, and used SHAP plus Tableau to make model results and feature contributions reviewable.
LightGBMSHAPPythonTableauPD ModelingFintech
β€Ί Case Study βŒ₯ GitHub β†— Dashboard
β—«
Live Product Python
Dawnly
Built a live daily news product that fetches from 50 curated RSS sources, clusters related coverage, ranks story groups, generates Claude summaries, and publishes a fixed top-10 edition. Its automated pipeline, archive, and subscriber newsletter are in active use.
PythonNLPClaudeGitHub ActionsNewsletterProduct Delivery
β€Ί Case Study β†— Live Product βŒ₯ GitHub
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Python Streamlit
Meditation Trend Pulse
Built a reproducible workflow for normalized Google Trends relative-interest data, with configurable updates, Prophet forecast demonstrations, and a multi-page Streamlit dashboard.
PythonProphetStreamlitForecastingAutomation
β€Ί Case Study βŒ₯ GitHub
experience

Work History

Ipsos
Data Analyst
Aug 2022 β€” 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 β€” 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 β€” 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 Β· 2020
Bachelor of Science in Applied Mathematics
City Tech, CUNY
New York, NY Β· 2018
Associate of Science in Computer Science
City Tech, CUNY
New York, NY Β· 2018
skills

Analyst Toolkit

Professional strengths are listed first. SQL, BI, Python, and machine-learning tools are supported mainly by self-directed portfolio or academic work unless noted.

Reporting & Data Quality professional
Data Validation Quality Control Recurring Reporting Ad Hoc Analysis KPI Reporting Excel SPSS
Business Analysis & Delivery professional
Stakeholder Requirements Cross-Team Delivery Process Improvement Issue Resolution Deadline Management Data Storytelling Documentation
Risk & Research professional
Risk Analysis Fraud Investigation Market Research Consumer Insights Survey Analytics Brand Tracking Segmentation
SQL & Data Platforms portfolio
SQL PostgreSQL BigQuery dbt Window Functions CTEs Data Modeling
BI & Visualization professional + portfolio
Dashboard Design Stakeholder Reporting Power BI Tableau PowerPoint Streamlit
Python & Applied ML portfolio + academic
Python Pandas Scikit-learn LightGBM SHAP Prophet
contact

Get In Touch

@ Email [email protected] in
LinkedInlinkedin.com/in/saayedalam
 βŒ₯
GitHubgithub.com/saayedalam
 πŸ“„
ResumeDownload PDF
I'm actively looking for Data Analyst roles in fintech, banking, market research, and healthcare β€” in Toronto or remote. If you're hiring or want to connect, I respond within 24 hours.