Angelo Martinez View CV

DATA ANALYST & BUSINESS INTELLIGENCE

Angelo MartinezData is the start.
Better decisions are the point.

I turn complex business data into clear insights. From customer activation to inventory risk, I connect the analysis to the decision that comes next.

View projects View CV Let's talk

Bogotá, Colombia Open to remote roles

Supply chain overviewNordmark · 2026 analysis
January low-stock peak52.6%
October minimum36.25%
SKUs at 0–20 units4,368

Low stock by category

2026 capture · category rate

Weekly sales & low stock

Original 2026 chart · axes and legend retained

Original Nordmark 2026 weekly sales quantity and low-stock percent chart, with plotted axes and legend

Recommended priorities

ActionScope
Category forecastingElectronics & Household
Dynamic safety stockBy node
Availability visibilityAcross channels

January 2026

Low stock · 47.4% remainder

Explore the analysis
2026 source analysis · recommendations are not observed outcomes.
Business analysis
Reliable data
Clear visualization
Actionable recommendations

FEATURED INSIGHT

Product analytics / CRM activation

Logins aren't the same as customer value. Diagnosed onboarding friction and early churn risk by connecting activation, account health and time-to-value.

View case study
NordicFlow · product analyticsOriginal dashboard preview
Original NordicFlow executive overview showing account, event, user and deal KPIs and complete January–December monthly charts with axes
Scenario analysis using an extended predictive dataset for 2026–2027; distinct from the Feb–Apr 2025 portfolio analysis. Inactivity indicates risk, not confirmed churn.

Selected work

Four end-to-end portfolio projects.
Clear context, measurable findings,
and a practical next step.

These are portfolio analyses, not client engagements. Metrics describe the analyzed datasets; recommendations and projected benefits are not claimed as achieved business results.

NordmarkSupply chain / Inventory
Original Nordmark 2026 executive dashboard with weekly charts and inventory summariesOriginal 2026 dashboard capture
SUPPLY CHAIN / NORDMARK01

How exposed is the inventory?

37–53%

Stockout exposure in high-priority categories

70,000+ records analyzedSQL → Power BI
Inventory & demandAug–Oct 2025
37–53%stockout exposure
70,000+records analyzed

Make inventory risk visible. Before it becomes a stockout.

Integrated sales, inventory and operations into a decision-ready model for omnichannel replenishment planning.

SQLDuckDBPower BIMedallion Architecture
Inside the analysis

The business question

Where should an omnichannel retailer prioritize replenishment as demand and inventory flows become less predictable?

What I built

A Bronze–Silver–Gold pipeline using DuckDB and DBeaver, cleaning and validating 70,000+ records across three physical stores and an e-commerce channel. Power BI brings sales, stock movements and operational KPIs together.

Decision supported

Prioritize at-risk categories and use more granular forecasting and dynamic safety stock. Proposed schedules projected a potential 12% reduction in stockouts—not an observed reduction.

Scenario analysis using an extended predictive dataset for 2026–2027.

View case study

From reactive inventory management to data-informed planning. Nordmark’s omnichannel growth introduced greater demand, inventory and fulfillment complexity. This case study explores how analytics can make those trade-offs measurable and support better replenishment decisions.

Open full PDF Data Storytelling
Open dashboard
NordicFlowProduct analytics / CRM
Original NordicFlow 2026–2027 scenario executive overviewExtended 2026–2027 scenario capture
PRODUCT / NORDICFLOW02

Which accounts need attention?

77 inactive43 active
Rolling 14-day activity window120 accounts
Activation & engagementFeb–Apr 2025
15.83%activation rate
77inactive accounts
5.9 daysaverage time-to-value

Measure customer value. Not just platform activity.

Diagnosed onboarding friction and early churn risk by connecting activation, account health and time-to-value.

SQLPower BIProduct Analytics
Inside the analysis

The business question

Why does a functioning B2B CRM still struggle to activate customers and sustain meaningful usage?

What I built

A SQL Medallion pipeline modeling 60,000+ transactions and a four-page Power BI report. The analysis connects 120 customers, 12,904 events and 1,542 commercial opportunities.

Decision supported

A 15.83% activation rate (19 of 120 accounts), 101 not activated accounts, and 77 inactive accounts in the last 14 days signaled distinct onboarding and retention priorities. Recommendations focus on segment-specific onboarding and meaningful product usage rather than logins.

Scenario analysis using an extended predictive dataset for 2026–2027. Inactivity indicates risk, not confirmed churn.

View case study

From product activity to meaningful customer value. NordicFlow’s growth exposed a gap between users logging in and users actually adopting the CRM. This case study explores activation, time-to-value and early churn to identify where onboarding stops delivering value.

Open full PDF Data Storytelling
Open dashboard
ShopEasyMarketing / Conversion
Original ShopEasy dashboard with 2024 selected, showing conversion, social media and reviewsOriginal 2024 capture · case covers May–Jun 2025
MARKETING / SHOPEASY03

Where is conversion getting lost?

446 customer reviews analyzedSQL · Python · Power BI
Conversion & sentimentMay–Jun 2025
8.5%average conversion
Up to 21%selected products

Find the bottleneck. Focus the marketing investment.

Connected customer journeys, content performance and review sentiment to identify higher-converting opportunities.

SQLPythonPower BIData Storytelling
Inside the analysis

The business question

Is e-commerce performance limited by traffic, or by where attention and marketing investment are directed?

What I built

A SQL Medallion pipeline and interactive Power BI dashboards linking conversion and digital engagement. Sentiment analysis classified 446 reviews, including 275 positive and 82 negative entries.

Decision supported

The dataset's average conversion rate was 8.5%, with selected products converting up to 21%. Recommended prioritizing high-converting categories and investigating seasonal engagement declines.

Conversion rates are findings in the portfolio dataset, not improvements delivered to a client.

View case study

From marketing spend to measurable customer response. ShopEasy was increasing marketing investment while engagement and conversion declined. This case study examines conversion, content performance and customer feedback to identify where marketing efforts can be better focused.

Open full PDF Data Storytelling
Open dashboard
HealthcareBusiness intelligence / Reporting
Original Healthcare Power BI Home navigation view, listing Overview, Patient, Doctor, Hospital and Finance report pagesHome navigation · not a KPI report
BUSINESS INTELLIGENCE / HEALTHCARE04

One model. A clearer hospital view.

14relational tables
3SQL views
5dashboard pages
PatientsDoctorsHospitalFinance
From Excel to executive reportingMySQL → Power BI
Clinical, operational & financial BISep–Oct 2025
14relational tables
3 SQL views5 analytical pages

Bring scattered data together. Give each team a useful view.

Transformed separate Excel sources into a relational model and a five-view executive dashboard for healthcare KPIs.

MySQLPower BIPower QueryDAX
Inside the analysis

The business question

How can clinical, operational and financial teams work from connected information rather than isolated spreadsheets?

What I built

A MySQL database with 14 related tables and three custom views, supported by Power Query transformations and DAX measures. The report includes Overview, Patients, Doctors, Hospital and Finance views.

Decision supported

Centralized monitoring of bed occupancy, wait times and billing, with different perspectives for clinical and management users. SQL views prepare data for analysis before it reaches the report.

The reported outcome is the BI solution and reporting coverage. No unverified time-saving or financial uplift is claimed.

View case study

From scattered hospital data to a unified operational view. This case study transforms fragmented clinical, operational and financial data into a relational BI model and a five-view Power BI dashboard, giving hospital teams a clearer way to monitor capacity, care delivery and financial performance.

Open full PDF
Open dashboard

The model makes the data reliable. The story makes it useful.

Full portfolio Explore GitHub

Analytics toolkit

Programming & query

  • SQL
  • Python
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn

BI & visualization

  • Power BI
  • Tableau
  • Excel
  • Google Sheets

Analysis & architecture

  • Exploratory Data Analysis (EDA)
  • ELT/ETL
  • Medallion Architecture
  • Data Storytelling
  • KPI Definition and Tracking

Data platforms & tools

  • Google BigQuery
  • Google Cloud Platform (GCP)
  • DuckDB
  • DBeaver
  • Git

How I Work

I work across the analytics lifecycle, connecting reliable data with a clear narrative and a business decision.

01

Ask the right question

Connect the KPI to the decision: inventory availability, conversion, activation or operational performance.

Business analysisKPI definition
02

Build reliable data

Clean, validate and model data so the analysis rests on traceable, structured information.

SQLPythonMedallion Architecture
03

Make the insight clear

Use focused visualizations and Data Storytelling to explain what changed, why it matters and what to investigate.

Power BIDAXTableau
04

Inform the next move

Translate the findings into practical priorities. Keep observed results, risks and projected benefits distinct.

RecommendationsExecutive communication
CONTINUOUS LEARNING

Data Science — SQL, Python & RStudioA2 Aprende y Aplica · Jan 2026

Tableau Visualización de DatosA2 Aprende y Aplica · Aug 2025

Experience & Background

Industrial Engineering is the foundation. Customer-facing work sharpened my business perspective; analytics and BI are my professional direction.

Industrial Engineering education

FEB 2019–MAY 2024 · Education

Universidad Militar Nueva Granada

A complementary foundation in operations research, processes and supply chain optimization.

Business & Customer Experience

FEB–SEP 2024 · Remote · Bogotá

Customer Support Agent

FlipTalk · EdTech

Role details

Supported subscription management and real-time incident resolution, working with tutors and the support team.

  • 15% shorter response times through performance tracking and bottleneck follow-up.
  • Reduced incident resolution time by more than 10 minutes and supported customer retention through subscription follow-up.

JUL–DEC 2023 · Hybrid · Bogotá

New Business Development Apprentice

WSP en Colombia

Role details

Organized business information and supported due diligence and documentation for tenders and consulting opportunities.

  • 15% less time searching for information by structuring and centralizing project references in Excel.
  • Contributed to a 12% increase in tender participation through documentation centralization and validation in SharePoint.

Transition to Analytics & BI

My current portfolio and CV document my direction toward Data Analyst and Business Intelligence Analyst opportunities. This is a professional direction, not an employment role.

Full experience on LinkedIn

AVAILABLE FOR MY NEXT OPPORTUNITY

Looking for someone
who connects the dots?

I'm seeking Data Analyst and Business Intelligence Analyst opportunities in Bogotá or remotely. Let's talk about the decisions your team needs to make.

Get in touch
PROFESSIONAL PROFILELinkedInPROJECTS & ANALYSESFull portfolio