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Nsikan Udoma

Data Analyst
Consulting - Data Analytics
About Nsikan
Customer Churn Analysis Using SQL, Python and Tableau 🐍 📊
Customer Churn Analysis Using SQL, Python and Tableau 🐍 📊And end-to-end project that involved exploratory analysis with SQL, a deep-dive EDA using Python, and building an interactive dashboard with Tableau to present meaningful business insights for the bank, and boost customer retention.
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Customer Churn Analysis Using SQL, Python and Tableau 🐍 📊
Customer Churn Analysis Using SQL, Python and Tableau 🐍 📊And end-to-end project that involved exploratory analysis with SQL, a deep-dive EDA using Python, and building an interactive dashboard with Tableau to present meaningful business insights for the bank, and boost customer retention.
1 Likes
0 Comments
Snowflake SQL Exploratory Data Analysis Project (Electronic Health Records) ❄️
Snowflake SQL Exploratory Data Analysis Project (Electronic Health Records) ❄️Analyzing patients data with Snowflake SQL to investigate the impact of patient’s mental health PHQ assessment on drug prescription and frequency.
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Snowflake SQL Exploratory Data Analysis Project (Electronic Health Records) ❄️
Snowflake SQL Exploratory Data Analysis Project (Electronic Health Records) ❄️Analyzing patients data with Snowflake SQL to investigate the impact of patient’s mental health PHQ assessment on drug prescription and frequency.
1 Likes
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Unicorn Profits Analysis using SQL and Python, and Reporting with Tableau Dashboard Storyboards
Unicorn Profits Analysis using SQL and Python, and Reporting with Tableau Dashboard StoryboardsAnalyzing Unicorn's historical sales data to reveal trends in profits and sales over time, in all product categories and store locations. The outcome was to identify areas of weaknesses and opportunities, and then make data-driven recommendations to boost
1 Likes
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Unicorn Profits Analysis using SQL and Python, and Reporting with Tableau Dashboard Storyboards
Unicorn Profits Analysis using SQL and Python, and Reporting with Tableau Dashboard StoryboardsAnalyzing Unicorn's historical sales data to reveal trends in profits and sales over time, in all product categories and store locations. The outcome was to identify areas of weaknesses and opportunities, and then make data-driven recommendations to boost
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Exploratory Analysis of Global Deforestation Trends using SQL
Exploratory Analysis of Global Deforestation Trends using SQLExploratory Data Analysis (EDA) of the Global Deforestation Trends from 1990 to 2016 using SQL to join and query data obtained from the World Bank.
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Exploratory Analysis of Global Deforestation Trends using SQL
Exploratory Analysis of Global Deforestation Trends using SQLExploratory Data Analysis (EDA) of the Global Deforestation Trends from 1990 to 2016 using SQL to join and query data obtained from the World Bank.
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Analyzing the NYSE Data for the “Soft Drinks” GCIS Sub Industry to Understand Financial Performance from 2013 to 2015
Analyzing the NYSE Data for the “Soft Drinks” GCIS Sub Industry to Understand Financial Performance from 2013 to 2015Analyzed NYSE listed S&P 500 companies data to benchmark & compare financial performance using historical profits. Also developed a financial model to project future profits under three scenarios; for improved strategy planning, and risk management.
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Analyzing the NYSE Data for the “Soft Drinks” GCIS Sub Industry to Understand Financial Performance from 2013 to 2015
Analyzing the NYSE Data for the “Soft Drinks” GCIS Sub Industry to Understand Financial Performance from 2013 to 2015Analyzed NYSE listed S&P 500 companies data to benchmark & compare financial performance using historical profits. Also developed a financial model to project future profits under three scenarios; for improved strategy planning, and risk management.
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Data Wrangling and Exploratory Data Analysis (EDA) of Prosper Loans data with Python 🐍
Data Wrangling and Exploratory Data Analysis (EDA) of Prosper Loans data with Python 🐍Exploratory Data Analysis using customer data from Prosper Loan, a peer-to-peer lending platform, where borrowers with fair or good credit can apply for loans and investors can fund them.
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Data Wrangling and Exploratory Data Analysis (EDA) of Prosper Loans data with Python 🐍
Data Wrangling and Exploratory Data Analysis (EDA) of Prosper Loans data with Python 🐍Exploratory Data Analysis using customer data from Prosper Loan, a peer-to-peer lending platform, where borrowers with fair or good credit can apply for loans and investors can fund them.
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