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enmanuel_mateo

Enmanuel Mateo

@enmanuel_mateo

Data Scientist and ML Engineer: Making the Systems Data Useful

Canada
English, Spanish, French
About me
Hi! I help businesses make sense of their data, turning messy numbers into clear dashboards, clean pipelines, and reliable reports that actually support better decisions. Whether you need a one-time project or ongoing support, I’m here to make your data work for you. - How I can help you: Build easy-to-use Power BI dashboards and reports Set up ETL/ELT workflows and pipelines (Kafka, SQL, PostgreSQL) Clean and organize data so it’s accurate and ready to use Design data models & warehouses for dependable reporting - Results I’ve delivered: Improved mortgage loan data accuracy by 30% (100... Read more

Skills

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enmanuel_mateo
Enmanuel Mateo
Offline • 
Average response time: 1 hour

See my services

Machine Learning
I will build ml models and data analysis solutions in python
From$100 / projectMore details

Portfolio

Work experience

HealthQB

Data Scientist

HealthQB • Full-time

May 2026 - Present • 1 mo

As a Data Scientist at Grupo Humano, I transform data into meaningful insights that help drive better business decisions. I work closely with different teams to analyze trends, build predictive models, and develop data-driven solutions that improve processes, enhance customer experiences, and create business value. My role combines analytical thinking, problem-solving, and technology to turn complex data into actionable results.

Salesforce Developer

Sunlife Energy • Part-time

Oct 2025 - May 2026 • 7 mos

→ Developed and deployed an offline-capable Salesforce mobile inspection app end-to-end, data model, LWC components, testing, and rollout. Enabling field teams to capture site data without internet and sync on reconnect, preventing lost deals in low-signal areas → Integrated Slack with Salesforce to centralize internal and external communication, reducing context-switching and improving team response time across departments → Configured enterprise security protocols including SSO and SCIM provisioning, ensuring compliant identity management across the company's tool stack → Improved data capture speed by 30% and reduced missing critical fields by 40% through guided LWC layouts and validation rules

Data_to Leads

Data Analyst

Data to Leads • Full-time

Oct 2024 - Jan 2025 • 3 mos

• Improved mortgage loan data accuracy by 30% within three months by cleaning and validating over 100K records. • Produced actionable insights on loan performance and delinquency trends, contributing to a 12% YoY reduction in default risk. • Optimized SQL queries, reducing execution time from 10 minutes to under 2 minutes, saving analysts over 20 hours monthly.