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Name: Erik Gumilar

Type: User

Company: Nusantara Traisser

Bio: An safety engineering education background and passioned in data and coding learning. Comfortable working with fast-paced environment and high pressure task.

Location: Surabaya

Introduction

Hi dnn, I'm Erik Gumilar

a Data Enthusiasm and Passionate Digital Marketer with educational background as an Engineer

Coding

  • šŸ”­ Iā€™m graduated from Shipbuilding Institute of Polytechnic Surabaya
  • šŸ‘Øā€šŸ’» Check out my personal website here
  • šŸ“« you can personally reach me on [email protected]
  • šŸ“„ Know about my experiences
  • āš” Fun fact I am Extrovert Person who love to break the ice with a Dad Jokes

Connect with me:

erikgumilar gumilarerik @erikagumi11

Languages and Tools:

git python mysql pandas tensorflow opencv keras Matplotlib pytorch Scikit-Learn SciPy postgresql seaborn Julia Language Tableau Google Ads YouTube Ads

Erik Gumilar

Ā Erik Gumilar

Erik Gumilar's Projects

causal-analysis-and-inference icon causal-analysis-and-inference

Causality has always been a central topic in human thinking and in its various undertakings and activities. It entails that when we know the causes and factors that affect a particular problem, then it is to our interest to study and quantify the interactions and relationships of these factors to their outcome. Thus, if some of these factors change, it will be possible to predict (with the use of the established relationship between causes and effect) the quantitative changes and the effects on their outcome. Such a relationship of causality may have the same form with no (or small) changes in relation to time for physics or biology.

customer-clustering-using-k-means-dbscan-and-agglomerative-clustering-hierarchy icon customer-clustering-using-k-means-dbscan-and-agglomerative-clustering-hierarchy

Despite the wide variety of techniques available for grouping individuals into market segments on the basis of multivariate survey information, clustering remains the most popular and most widely applied method. Clustering is a popular and widely used method for identifying or constructing data based market segments. Over decades of applying cluster analysis procedures for the purpose of searching for homogenous subgroups among consumers, questionable standards of using the techniques have emerged one of such is the black-box approach ignoring crucial parameters of the algorithm applied or the lack of harmonization of methodology chosen and data conditions.

marketing-campaign-analysis-with-explanatory-model-analysis icon marketing-campaign-analysis-with-explanatory-model-analysis

This is my first project as a Business Intelligence that requires me to provide recommendations for and review data on customer feedback on previous marketing methods. One of the most needed insights in this analysis is which marketing methods can be repeated in order to make customers return to shop at our company.

medical-cost-analysis icon medical-cost-analysis

Hi there!!! In Indonesia, in the last few months a surprising event occurred and for the first time the BPJS Kesehatan budget did not experience a deficit. When BPJS Kesehatan was first launched in 2014, BPJS Kesehatan experienced a very large deficit, causing the Central Government to inject funds into the health aid agency. Here I am as one of the intelligence business team, trying to provide an overview and input to ABC company which is engaged in the insurance business. So from the analysis provided, it is hoped that the company will not experience a similar incident with the government aid agency.

olist-marketing-channel-attribution icon olist-marketing-channel-attribution

The Marketing Team wants to know how effective the marketing is through several channels that have been used to acquire sellers to sell on our platform. You as a data scientist are asked to find out and report it to the marketing team which results from this analysis will determine future marketing strategies. Hmm, how can I do it? Check my repo

segmentasi-pelanggan-costumer-pada-analisis-pemasaran icon segmentasi-pelanggan-costumer-pada-analisis-pemasaran

(Bahasa Indonesia) Ini merupakan Projek mandiri dari saya yang menggunakan Data Marketing untuk mengemlompokan jenis pelanggan berdasarkan pada jumlah pengeluaran dan seberapa sering pelanggan tersebut kembali melakukan pembelian

super-store-analysis-with-time-series-and-agnostic-model-explainer icon super-store-analysis-with-time-series-and-agnostic-model-explainer

3 years ago, when the COVID-19 virus spread to all corners of the world, the wheels of the economy came to a complete standstill, causing a worldwide Recession. All sectors of the world's economy seemed to be hit by a big storm that caused world chaos. The rapidly spreading COVID-19 has made the world not yet prepared to face the wave of the threat of a recession. But in 2021 and 2022, many economists and business professionals project that the retail business will gradually improve by the end of 2021 and throughout 2022. How about our company? Can we catch up the moment?

telco-customer-churn icon telco-customer-churn

If you notice this year there is something different when you buy an item at the supermarket or at the mall! Yes, Value Added Tax or VAT for short has increased to 11% this year. This has had an impact on various sectors. Let's see how the customer behavior in this case is seen from the analysis carried out on the Telco Customer Churn dataset.

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