Rodrigo Loredo rloredo

Check out my https://www.linkedin.com/in/rrloredo/

Hi there 👋

I'm Rodrigo, a data analyst, scientist, engineer, guru, sherpa... currently living in Amsterdam, NL (originally from Argentina).

I’m currently working at Vinted as a Analytics Engineer.

Before that, I worked at Felyx as an Analytics Engineer too. I've also worked at Amberscript setting up the analytics-BI department. I was in charge of the whole analytics ecosystem, from ingestion to visualization and insight-sharing. I've also worked as a Data Scientist for Tiendanube & Nuvemshop, a B2B, SaaS company, for almost two years. In that job I had to handle big amounts of data, implement supervised and unsupervised ML models, report insights to key stakeholders, and lead a team of four data scientists. You can read a little bit more about those projects here.

My journey to Data Science began when I started my Ph.D. in psycho and neurolinguistics. In that process, I realized that what I loved most was designing and implementing experiments, and modeling data to analyze the results. Thus, I started studying descriptive and inferential statistics, machine learning, and learning to code.

In my free time, I like to read, study, and write about data science & analytics, human skills, and other things. I also love outdoor sports like rock climbing, sailing, and playing football. I also enjoy building things, woodworking, and gardening. I fixed a 12ft. sailboat and I've been building a 14ft. wooden boat!

Projects

I have worked on, or supervised projects about:

Topic modelling and tagging of customer support conversations
Customer clustering using Amplitude events and product configurations
Chatbot for customer support
Data Science toolkit for our team
Quality lead predictor: predict if a trial will pay after trial period
Quality partner predictor: predict if a commercial partner will bring a new client
Churn analysis: failed predictor project =(
Perfect client modelling to find out what our best clients do and how we can make recommendations based on those practices to other clients
Market basket analysis for apps marketplace
Customer journey visualization using Amplitude events and sankey diagrams
A/B tests of user onboarding
A/B tests of e-commerce checkout page
Crawling of instagram and twitter metrics, competitors, churned clients, etc.
Attribution models for performance marketing
Allocation of revenue and financial consolidation
Unit economics and PnL (CAC, LTV, etc.)
And many more!

Gists

Check out my gists with useful snippets for NLP and discrete event simulations.

Personal website

In my blog I share some thoughts and stories about Data Science and Analytics.

Check out my https://www.linkedin.com/in/rrloredo/

Hi there 👋

I'm Rodrigo, a data analyst, scientist, engineer, guru, sherpa... currently living in Amsterdam, NL (originally from Argentina).

I’m currently working at Vinted as a Analytics Engineer.

Before that, I worked at Felyx as an Analytics Engineer too. I've also worked at Amberscript setting up the analytics-BI department. I was in charge of the whole analytics ecosystem, from ingestion to visualization and insight-sharing. I've also worked as a Data Scientist for Tiendanube & Nuvemshop, a B2B, SaaS company, for almost two years. In that job I had to handle big amounts of data, implement supervised and unsupervised ML models, report insights to key stakeholders, and lead a team of four data scientists. You can read a little bit more about those projects here.

My journey to Data Science began when I started my Ph.D. in psycho and neurolinguistics. In that process, I realized that what I loved most was designing and implementing experiments, and modeling data to analyze the results. Thus, I started studying descriptive and inferential statistics, machine learning, and learning to code.

In my free time, I like to read, study, and write about data science & analytics, human skills, and other things. I also love outdoor sports like rock climbing, sailing, and playing football. I also enjoy building things, woodworking, and gardening. I fixed a 12ft. sailboat and I've been building a 14ft. wooden boat!

Projects

I have worked on, or supervised projects about:

Topic modelling and tagging of customer support conversations
Customer clustering using Amplitude events and product configurations
Chatbot for customer support
Data Science toolkit for our team
Quality lead predictor: predict if a trial will pay after trial period
Quality partner predictor: predict if a commercial partner will bring a new client
Churn analysis: failed predictor project =(
Perfect client modelling to find out what our best clients do and how we can make recommendations based on those practices to other clients
Market basket analysis for apps marketplace
Customer journey visualization using Amplitude events and sankey diagrams
A/B tests of user onboarding
A/B tests of e-commerce checkout page
Crawling of instagram and twitter metrics, competitors, churned clients, etc.
Attribution models for performance marketing
Allocation of revenue and financial consolidation
Unit economics and PnL (CAC, LTV, etc.)
And many more!

Gists

Check out my gists with useful snippets for NLP and discrete event simulations.

Personal website

In my blog I share some thoughts and stories about Data Science and Analytics.

Check out my https://www.linkedin.com/in/rrloredo/

Hi there 👋

I'm Rodrigo, a data analyst, scientist, engineer, guru, sherpa... currently living in Amsterdam, NL (originally from Argentina).

I’m currently working at Vinted as a Analytics Engineer.

Before that, I worked at Felyx as an Analytics Engineer too. I've also worked at Amberscript setting up the analytics-BI department. I was in charge of the whole analytics ecosystem, from ingestion to visualization and insight-sharing. I've also worked as a Data Scientist for Tiendanube & Nuvemshop, a B2B, SaaS company, for almost two years. In that job I had to handle big amounts of data, implement supervised and unsupervised ML models, report insights to key stakeholders, and lead a team of four data scientists. You can read a little bit more about those projects here.

My journey to Data Science began when I started my Ph.D. in psycho and neurolinguistics. In that process, I realized that what I loved most was designing and implementing experiments, and modeling data to analyze the results. Thus, I started studying descriptive and inferential statistics, machine learning, and learning to code.

In my free time, I like to read, study, and write about data science & analytics, human skills, and other things. I also love outdoor sports like rock climbing, sailing, and playing football. I also enjoy building things, woodworking, and gardening. I fixed a 12ft. sailboat and I've been building a 14ft. wooden boat!

Projects

I have worked on, or supervised projects about:

Topic modelling and tagging of customer support conversations
Customer clustering using Amplitude events and product configurations
Chatbot for customer support
Data Science toolkit for our team
Quality lead predictor: predict if a trial will pay after trial period
Quality partner predictor: predict if a commercial partner will bring a new client
Churn analysis: failed predictor project =(
Perfect client modelling to find out what our best clients do and how we can make recommendations based on those practices to other clients
Market basket analysis for apps marketplace
Customer journey visualization using Amplitude events and sankey diagrams
A/B tests of user onboarding
A/B tests of e-commerce checkout page
Crawling of instagram and twitter metrics, competitors, churned clients, etc.
Attribution models for performance marketing
Allocation of revenue and financial consolidation
Unit economics and PnL (CAC, LTV, etc.)
And many more!

Gists

Check out my gists with useful snippets for NLP and discrete event simulations.

Personal website

In my blog I share some thoughts and stories about Data Science and Analytics.

Check out my https://www.linkedin.com/in/rrloredo/

Hi there 👋

I'm Rodrigo, a data analyst, scientist, engineer, guru, sherpa... currently living in Amsterdam, NL (originally from Argentina).

I’m currently working at Vinted as a Analytics Engineer.

Before that, I worked at Felyx as an Analytics Engineer too. I've also worked at Amberscript setting up the analytics-BI department. I was in charge of the whole analytics ecosystem, from ingestion to visualization and insight-sharing. I've also worked as a Data Scientist for Tiendanube & Nuvemshop, a B2B, SaaS company, for almost two years. In that job I had to handle big amounts of data, implement supervised and unsupervised ML models, report insights to key stakeholders, and lead a team of four data scientists. You can read a little bit more about those projects here.

My journey to Data Science began when I started my Ph.D. in psycho and neurolinguistics. In that process, I realized that what I loved most was designing and implementing experiments, and modeling data to analyze the results. Thus, I started studying descriptive and inferential statistics, machine learning, and learning to code.

In my free time, I like to read, study, and write about data science & analytics, human skills, and other things. I also love outdoor sports like rock climbing, sailing, and playing football. I also enjoy building things, woodworking, and gardening. I fixed a 12ft. sailboat and I've been building a 14ft. wooden boat!

Projects

I have worked on, or supervised projects about:

Topic modelling and tagging of customer support conversations
Customer clustering using Amplitude events and product configurations
Chatbot for customer support
Data Science toolkit for our team
Quality lead predictor: predict if a trial will pay after trial period
Quality partner predictor: predict if a commercial partner will bring a new client
Churn analysis: failed predictor project =(
Perfect client modelling to find out what our best clients do and how we can make recommendations based on those practices to other clients
Market basket analysis for apps marketplace
Customer journey visualization using Amplitude events and sankey diagrams
A/B tests of user onboarding
A/B tests of e-commerce checkout page
Crawling of instagram and twitter metrics, competitors, churned clients, etc.
Attribution models for performance marketing
Allocation of revenue and financial consolidation
Unit economics and PnL (CAC, LTV, etc.)
And many more!

Gists

Check out my gists with useful snippets for NLP and discrete event simulations.

Personal website

In my blog I share some thoughts and stories about Data Science and Analytics.

Check out my https://www.linkedin.com/in/rrloredo/

Hi there 👋

I'm Rodrigo, a data analyst, scientist, engineer, guru, sherpa... currently living in Amsterdam, NL (originally from Argentina).

I’m currently working at Vinted as a Analytics Engineer.

Before that, I worked at Felyx as an Analytics Engineer too. I've also worked at Amberscript setting up the analytics-BI department. I was in charge of the whole analytics ecosystem, from ingestion to visualization and insight-sharing. I've also worked as a Data Scientist for Tiendanube & Nuvemshop, a B2B, SaaS company, for almost two years. In that job I had to handle big amounts of data, implement supervised and unsupervised ML models, report insights to key stakeholders, and lead a team of four data scientists. You can read a little bit more about those projects here.

My journey to Data Science began when I started my Ph.D. in psycho and neurolinguistics. In that process, I realized that what I loved most was designing and implementing experiments, and modeling data to analyze the results. Thus, I started studying descriptive and inferential statistics, machine learning, and learning to code.

In my free time, I like to read, study, and write about data science & analytics, human skills, and other things. I also love outdoor sports like rock climbing, sailing, and playing football. I also enjoy building things, woodworking, and gardening. I fixed a 12ft. sailboat and I've been building a 14ft. wooden boat!

Projects

I have worked on, or supervised projects about:

Topic modelling and tagging of customer support conversations
Customer clustering using Amplitude events and product configurations
Chatbot for customer support
Data Science toolkit for our team
Quality lead predictor: predict if a trial will pay after trial period
Quality partner predictor: predict if a commercial partner will bring a new client
Churn analysis: failed predictor project =(
Perfect client modelling to find out what our best clients do and how we can make recommendations based on those practices to other clients
Market basket analysis for apps marketplace
Customer journey visualization using Amplitude events and sankey diagrams
A/B tests of user onboarding
A/B tests of e-commerce checkout page
Crawling of instagram and twitter metrics, competitors, churned clients, etc.
Attribution models for performance marketing
Allocation of revenue and financial consolidation
Unit economics and PnL (CAC, LTV, etc.)
And many more!

Gists

Check out my gists with useful snippets for NLP and discrete event simulations.

Personal website

In my blog I share some thoughts and stories about Data Science and Analytics.

Check out my https://www.linkedin.com/in/rrloredo/

Hi there 👋

I'm Rodrigo, a data analyst, scientist, engineer, guru, sherpa... currently living in Amsterdam, NL (originally from Argentina).

I’m currently working at Vinted as a Analytics Engineer.

Before that, I worked at Felyx as an Analytics Engineer too. I've also worked at Amberscript setting up the analytics-BI department. I was in charge of the whole analytics ecosystem, from ingestion to visualization and insight-sharing. I've also worked as a Data Scientist for Tiendanube & Nuvemshop, a B2B, SaaS company, for almost two years. In that job I had to handle big amounts of data, implement supervised and unsupervised ML models, report insights to key stakeholders, and lead a team of four data scientists. You can read a little bit more about those projects here.

My journey to Data Science began when I started my Ph.D. in psycho and neurolinguistics. In that process, I realized that what I loved most was designing and implementing experiments, and modeling data to analyze the results. Thus, I started studying descriptive and inferential statistics, machine learning, and learning to code.

In my free time, I like to read, study, and write about data science & analytics, human skills, and other things. I also love outdoor sports like rock climbing, sailing, and playing football. I also enjoy building things, woodworking, and gardening. I fixed a 12ft. sailboat and I've been building a 14ft. wooden boat!

Projects

I have worked on, or supervised projects about:

Topic modelling and tagging of customer support conversations
Customer clustering using Amplitude events and product configurations
Chatbot for customer support
Data Science toolkit for our team
Quality lead predictor: predict if a trial will pay after trial period
Quality partner predictor: predict if a commercial partner will bring a new client
Churn analysis: failed predictor project =(
Perfect client modelling to find out what our best clients do and how we can make recommendations based on those practices to other clients
Market basket analysis for apps marketplace
Customer journey visualization using Amplitude events and sankey diagrams
A/B tests of user onboarding
A/B tests of e-commerce checkout page
Crawling of instagram and twitter metrics, competitors, churned clients, etc.
Attribution models for performance marketing
Allocation of revenue and financial consolidation
Unit economics and PnL (CAC, LTV, etc.)
And many more!

Gists

Check out my gists with useful snippets for NLP and discrete event simulations.

Personal website

In my blog I share some thoughts and stories about Data Science and Analytics.

Check out my https://www.linkedin.com/in/rrloredo/

Hi there 👋

I'm Rodrigo, a data analyst, scientist, engineer, guru, sherpa... currently living in Amsterdam, NL (originally from Argentina).

I’m currently working at Vinted as a Analytics Engineer.

Before that, I worked at Felyx as an Analytics Engineer too. I've also worked at Amberscript setting up the analytics-BI department. I was in charge of the whole analytics ecosystem, from ingestion to visualization and insight-sharing. I've also worked as a Data Scientist for Tiendanube & Nuvemshop, a B2B, SaaS company, for almost two years. In that job I had to handle big amounts of data, implement supervised and unsupervised ML models, report insights to key stakeholders, and lead a team of four data scientists. You can read a little bit more about those projects here.

My journey to Data Science began when I started my Ph.D. in psycho and neurolinguistics. In that process, I realized that what I loved most was designing and implementing experiments, and modeling data to analyze the results. Thus, I started studying descriptive and inferential statistics, machine learning, and learning to code.

In my free time, I like to read, study, and write about data science & analytics, human skills, and other things. I also love outdoor sports like rock climbing, sailing, and playing football. I also enjoy building things, woodworking, and gardening. I fixed a 12ft. sailboat and I've been building a 14ft. wooden boat!

Projects

I have worked on, or supervised projects about:

Topic modelling and tagging of customer support conversations
Customer clustering using Amplitude events and product configurations
Chatbot for customer support
Data Science toolkit for our team
Quality lead predictor: predict if a trial will pay after trial period
Quality partner predictor: predict if a commercial partner will bring a new client
Churn analysis: failed predictor project =(
Perfect client modelling to find out what our best clients do and how we can make recommendations based on those practices to other clients
Market basket analysis for apps marketplace
Customer journey visualization using Amplitude events and sankey diagrams
A/B tests of user onboarding
A/B tests of e-commerce checkout page
Crawling of instagram and twitter metrics, competitors, churned clients, etc.
Attribution models for performance marketing
Allocation of revenue and financial consolidation
Unit economics and PnL (CAC, LTV, etc.)
And many more!

Gists

Check out my gists with useful snippets for NLP and discrete event simulations.

Personal website

In my blog I share some thoughts and stories about Data Science and Analytics.

Check out my https://www.linkedin.com/in/rrloredo/

Hi there 👋

I'm Rodrigo, a data analyst, scientist, engineer, guru, sherpa... currently living in Amsterdam, NL (originally from Argentina).

I’m currently working at Vinted as a Analytics Engineer.

Before that, I worked at Felyx as an Analytics Engineer too. I've also worked at Amberscript setting up the analytics-BI department. I was in charge of the whole analytics ecosystem, from ingestion to visualization and insight-sharing. I've also worked as a Data Scientist for Tiendanube & Nuvemshop, a B2B, SaaS company, for almost two years. In that job I had to handle big amounts of data, implement supervised and unsupervised ML models, report insights to key stakeholders, and lead a team of four data scientists. You can read a little bit more about those projects here.

My journey to Data Science began when I started my Ph.D. in psycho and neurolinguistics. In that process, I realized that what I loved most was designing and implementing experiments, and modeling data to analyze the results. Thus, I started studying descriptive and inferential statistics, machine learning, and learning to code.

In my free time, I like to read, study, and write about data science & analytics, human skills, and other things. I also love outdoor sports like rock climbing, sailing, and playing football. I also enjoy building things, woodworking, and gardening. I fixed a 12ft. sailboat and I've been building a 14ft. wooden boat!

Projects

I have worked on, or supervised projects about:

Topic modelling and tagging of customer support conversations
Customer clustering using Amplitude events and product configurations
Chatbot for customer support
Data Science toolkit for our team
Quality lead predictor: predict if a trial will pay after trial period
Quality partner predictor: predict if a commercial partner will bring a new client
Churn analysis: failed predictor project =(
Perfect client modelling to find out what our best clients do and how we can make recommendations based on those practices to other clients
Market basket analysis for apps marketplace
Customer journey visualization using Amplitude events and sankey diagrams
A/B tests of user onboarding
A/B tests of e-commerce checkout page
Crawling of instagram and twitter metrics, competitors, churned clients, etc.
Attribution models for performance marketing
Allocation of revenue and financial consolidation
Unit economics and PnL (CAC, LTV, etc.)
And many more!

Gists

Check out my gists with useful snippets for NLP and discrete event simulations.

Personal website

In my blog I share some thoughts and stories about Data Science and Analytics.

Rodrigo Loredo rloredo

Check out my https://www.linkedin.com/in/rrloredo/

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Personal website

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Rodrigo Loredo rloredo

Check out my https://www.linkedin.com/in/rrloredo/

Hi there 👋

Projects

Gists

Personal website

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Rodrigo Loredo rloredo

Check out my https://www.linkedin.com/in/rrloredo/

Hi there 👋

Projects

Gists

Personal website

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Rodrigo Loredo rloredo

Check out my https://www.linkedin.com/in/rrloredo/

Hi there 👋

Projects

Gists

Personal website

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Rodrigo Loredo rloredo

Check out my https://www.linkedin.com/in/rrloredo/

Hi there 👋

Projects

Gists

Personal website

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Rodrigo Loredo rloredo

Check out my https://www.linkedin.com/in/rrloredo/

Hi there 👋

Projects

Gists

Personal website

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Rodrigo Loredo rloredo

Check out my https://www.linkedin.com/in/rrloredo/

Hi there 👋

Projects

Gists

Personal website

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Rodrigo Loredo rloredo

Check out my https://www.linkedin.com/in/rrloredo/

Hi there 👋

Projects

Gists

Personal website

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