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Alexis Linxsly (@alexislinxsly)

alexislinxsly

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Global Rank 894,432 (Top 32 %)
Followers 2
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Registered almost 3 years ago
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100.0 %
Location 🇭🇹 Haiti
Country Total Rank 26
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3

Covid-19-database-and-dashboard

You are an analyst working at a health research company in Haiti. The government has asked your company to analyze data related to covid-19. To that end, they have provided you with access to health data.

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Probability-and-Stats

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Risk-Analysis

Boutique-Analysis

Analyze a boutique's problem

alexislinxsly

Config files for my GitHub profile.

Entwodiksyon_nan_syans_done

Premye pwoje nan bootcamp Ayiti Analytics

Market_Segmentation

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Projet-Data-Processing

Ayiti Analytics Data wants to expand its training centers throughout all the communes of the country. My role as a data analyst is to help them realize this dream. Its objective is to know which three communes of the country will be the most likely to expand its training centers. Knowing that each cohort must have 30 students.

Fraud-Detection

A bank is interested in providing higher quality customer service to protect customers financial assets. The bank has been receiving several complaints about credit card frauds from their customers and the news media is regularly reporting about how the bank's customers are losing large amounts of money and the bank is doing nothing to stop it. This is impacting both the customers experience and their marketshare. The Senior Management got hired me as the Business Analyst for the bank, and they provided you with 6 months of available data

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Capstone-Project

My objective is to group the schools according to their vulnerability in relation to their infrastructure and their level of performance. And how we could guide the government so that they can invest efficiently in school's facilities in order to improve the facilities quality of the most vulnerable schools in the country.

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Churn_Analysis

The leading telecom company has a massive market share but one big problem: several rivals that are constantly trying to steal customers. Because this company has been the market leader for so many years, there are not significant opportunities to grow with new customers. Instead, company executives have decided to focus on their churn: the rate at which they lose customers. They have two teams especially interested in this data: the marketing team and the customer service team. Each team has its own reason for wanting the analysis. The marketing team wants to find out who the most likely people to churn are and create content that suits their interests. The customer service team would like to proactively reach out to customers who are about to churn, and try to encourage them to stay. They decide to hire you for two tasks: 1. Help them identify the types of customers who churn 2. Predict who of their current customers will churn next month. To do this, they offer you a file of 7,000 customers. Each row is a customer. The Churn column will say Yes if the customer churned in the past month. The data also offers demographic data and data on the services that each customer purchases. Finally there is information on the payments those customers make.

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