Henry UGOCHUKWU OKAM

Data Analyst | Salesforce Admin & CRM Analytics Consultant

" I drive business success with recommendations based on data findings"

RESUME

ABOUT ME

Hi!.... I’m Henry, a Data Analyst with over 10 years of industry experience, including 5+ years specializing in analytics across the power and EdTech sectors. My journey so far has been diverse, as I've worked in various project management and analytical job roles within the power industry, honing my skills and developing a keen ability to communicate effectively with both internal teams and external stakeholders.
Currently, I work as a data analyst at NewGlobe Education, where I transform complex datasets into actionable insights, build efficient data processes, and help drive data-informed decision-making. I take pride in translating complex data findings into practical business solutions.

I’m certified as a Google and Udacity Data Analyst, as well as a Salesforce CRM Analytics Specialist, combining strong technical expertise with a strategic business mindset. My passion lies in using advanced analytics and AI to deliver real-world impact and measurable value.

Currently, I’m expanding my skills through training in Data Engineering and Analytics Engineering. My long-term goal is to apply these capabilities to governance challenges in Nigeria, building systems that improve accountability, reduce corruption, and enable transparent, data-driven public service.

My current specialties are data visualization, statistical analysis, predictive analytics, Salesforce administration, and database management. I am proficient in utilizing Excel/Google Sheets, SQL, Python, Stata, Power BI, and Tableau.

Outside of work, my curious and adventurous spirit draws me to reading, travelling, and exploring new places where I can meet new people and continue learning about the world. As a Bible-believing Christian, I also dedicate my Sundays to teaching teens about God and his word, helping to raise the next generation of godly leaders who will carry the baton of leadership to the glory of God.

I am open to projects and job opportunities that apply analytics and AI to support strategic goals.

Please feel free to reach out to me via e-mail, and together, we'll create success stories fueled by data-driven insights. 📧📈

About Portfolio

As a data analyst, I identify business needs and develop valuable solutions via excellent data interpretation methods to improve businesses' accuracy and process optimization.

This portfolio showcases my data analysis projects, which demonstrate my skills and proficiency in SQL, Microsoft Excel, Google Spreadsheets, R, Python, Tableau, Power BI, report writing, documentation, data storytelling, and research. It also includes research projects, reports, and papers I have completed.

Data Analysis Projects

Cyclistic Bikeshare Case Study

This is a case study project of a fictional bikeshare company carried out using R and Microsoft Excel.

Skills Utilized: Microsoft Excel, R (ggplot2, tidyverse, lubridate, readr), Data Cleaning, Data Wrangling, descriptive statistics, exploratory data analysis, visualization, presentation, report writing, data storytelling.

NoShow Appointment

This is a data analysis project aimed at investigating a dataset of medical appointment records for Brazil public hospitals.

Skills Utilized: Excellent utilization of Python libraries such as pandas, numpy, matplotlib, seaborn, and datetime. etc. Processes utilized include data cleaning, data wrangling, visualization, exploratory data analysis, descriptive analysis, and data storytelling.

WeRateDogs Project

This project demonstrates the student's ability to gather data from multiple sources such as via URL using python's request library, twitter API using the tweepy library, and manually as in a csv file. The data is then cleaned, wrangled, stored, analyzed and used to gain insights using appropriate visualizations.

Skills Utilized: data gathering, data scraping, python (json, API, beautiful soup, tweepy, request, pandas, numpy, matplotlib, seaborn, datetime), data storytelling, data analyzing, data storage, data wrangling, data cleaning, data visualization, report writing.

PROSPER loan Project

A data analysis project that entails using the data from a fictional loan company known as Prosper to perform exploratory data analysis using univariate, bivariate and multivariate visualizations to produce insights that answers questions asked from the data.

Skills Utilized: data gathering, python (pandas, numpy, matplotlib, seaborn, nbconvert), data storytelling, data analysis, data wrangling, data cleaning, data visualization, report writing, documentation, slide deck presentation

DOCTOR DEFICIT PROJECTION IN GERMANY

This analysis uses current and historical data to project the doctor deficit in Germany over the next 20 years (2024 - 2044) based on population trends and retirement age. It then dives further to ascertain what the result of this projection would mean for Africa.

Skills Utilized: Python, linear regression, predictive analysis, sklearn, numpy, matplotlib.pyplot, machine learning, research, data gathering

Performance Analysis of High School/College studentS.

A portfolio project involving a detailed analysis of 37,997 high school/college student records to showcase key insights through the aid of effective visualizations aimed at evaluating the factors affecting student's academic performance in high school and colleges in the USA.

Skills Utilized: SQL Aggregation, SQL Joins, SQLite, Google spreadsheet, pivot tables, data storytelling, data manipulation, data visualization, report writing/documentation.

Google Play Store Apps Analysis

An analysis and visualization of play store data scraped from google play store apps for the period of 2010 - 2018 . This project aims at cleaning the dataset, analyzing the given dataset, and mining informational quality insights. This project also involves visualizing the data to better and easily understand trends and different categories.

Skills Utilized: SQL, MySQL, SQL Aggregation, Python, Power BI, Microsoft Excel, data pre-processing, data cleaning, data wrangling, data visualization, report writing/documentation.