Summary
Overview
Work history
Education
Skills
Websites
Certification
Affiliations
Projects
References
Timeline
OperationsManager
VICTOR EMUCHAY

VICTOR EMUCHAY

Abuja,Nigeria

Summary

Experienced Data Enthusiast with a passion for exploring the intersections of IoT, Big Data, and AI. Proficient in data science fundamentals with certifications including Introduction to Data Science, Excel for Data Analysis, and AWS Cloud Practitioner. Skilled in IoT fundamentals from Cisco and eager to further expertise. Strong commitment to continuous learning and knowledge-sharing, demonstrated by a proactive approach to acquiring new skills and certifications. Excited to leverage expertise in data science to contribute to impactful projects and drive innovation in the field.

Overview

2
2
years of professional experience
5
5
years of post-secondary education
4
4
Certification

Work history

Data Analyst

Data Analyst

Suburban Fiber Company
03.2022 - 03.2024

Responsibilities

  • As Data Analyst Under the Business Performance Unit (BPU), my responsibilities entail; Data Gathering, Modelling, Analysis, and Visualization of Company-wide Data (for Key Areas)For insight influencing Data-driven decision-making

Impact

  • The utilization of BI tools like Google Data Studio, Tableau, Power BI, etc .for insightful/detailed Analysis which are powerful Business intelligence tools with extraordinary capabilities
  • Creating dashboards and visualizations using Google Data Studio (Looker Studio) Tableau and Excel to communicate insights (Monitoring and tracking KPI) to stakeholders via Daily, weekly, and monthly reports

The following are specific activities/projects carried out:


  • Built dynamic dashboards using Looker Studio for tracking all obligations, making obligation monitoring real-time prompting operations efficiency and visibility that did not exist
  • Carried out when needed, Root Cause Analysis (using 5 why and Pareto principle) of frequently occurring faults that prevented further outages thereby reducing customer downtime and boosting customer experience in those areas
  • Built a Sales Dashboard that displays sales performance against target, Sales trend, Team performance, and product performance which enables tracking of product sales numbers, giving insight to prompt decision-making as to the next steps to be taken
  • Aided in Customer base Clean up and Carried out Customer base analysis that facilitated debt recovery from customers thereby improving monthly recurring revenue by 20% in the last quarter of 2023.
  • Created a data model for fault management that enabled tracking and efficient resolution of customer faults that boosted efficiency by over 300% reducing customer downtime drastically
  • Awards/Recognition: Promotion from Officer I to Officer II for High Performance and Dedication in the Data Analysis function of the business performance Unit of the Company.

Petroleum Engineering Intern

NNPC
Abuja, Nigeria
07.2018 - 12.2018
  • Trained on the Concept of impressed current cathodic protection system for the protection of the metallic structure from deterioration over time
  • Trained on the refinery equipment
  • Trained on HSE(Health Safety and Environment ), demonstrated and practiced with various safety gear made available during the course of the training
  • Participated in the company's self-development training geared to the general improvement and development of soft skills via the OKVC platform(Okikiolu Kayode Visionary Class)

Education

B.ENG., Petroleum Engineering -

Federal University of Technology - Owerri
09.2014 - 12.2019

Skills

  • Business Intelligence (BI )
  • Data Analysis & KPI Dashboards
  • Data Entry, Data Cleaning, & Data Visualization using Ms Excel, Tableau, Python, and Looker Studio
  • Microsoft tools(MS Word, and MS PowerPoint, Excel (VLookup, Conditional Formatting, Pivot Tables)
  • Power BI, Power Query
  • SQL (SQL Server, MySQL, PostgreSQL)
  • Business analysis
  • Trend forecasting
  • Sales data analysis
  • Operations analysis

Certification

  • IOT Fundamentals Big Data and Analytics, Cisco
  • Introduction to Data Science,365 Data Science.
  • Introduction to Data Science, Cisco
  • Lean Six Sigma White Belt
  • AWS Cloud Practitioner
  • Data Science, Afrihub
  • Advanced Data Science, Afrihub

Affiliations

  • PEA- petroleum Engineering Association
  • DSN- Data Science Nigeria
  • SPE-Society of Petroleum Engineers

Projects

2024 DIABETES PREDICTION WEB APP

Developed and Deployed live a Streamlit web app for early-stage Diabetes Mellitus risk prediction, achieving 89% accuracy using logistic regression on the UCI ML Repository dataset. Emphasized key factors like age, gender, and family history, showcasing expertise in healthcare analytics and application development based on key features during feature selection in the model-building phase. View Web App

TITANIC SURVIVAL PREDICTION WEB APP

Predicts Titanic passenger survival using machine learning. Developed and deployed a streamlit web app with render, offering an interactive interface for predictions offering multiple models to pick from and a section for exploratory data analysis. View Web App

Program Candidate, Advanced Data Science, Afrihub ICT Institute, Abuja

Supervised by: Mr. John Adejoh

X-ray Diagnosis Web App

Developed a Streamlit web application that is currently hosted locally for classifying X-ray images into three categories: COVID-19, Pneumonia, and Normal cases. It utilizes a trained Keras model done with a Jupyter Notebook to make predictions based on the uploaded images.

Other Projects:

Car Price Prediction- Developed a predictive model for car prices using a machine learning technique, The dataset is fetched from a SQL Server database using PyODBC.View Project

2021

Program Candidate, Data Science, Afrihub ICT Institute, Abuja

Supervised by: Mr. John Adejoh

  • Developed machine Learning models with KNN, Logistic regression, Naive Bayes, SVM, and Decision tree algorithms to assess the best model with the highest prediction accuracy to detect whether a cell is benign or malignant using a breast cancer dataset from Kaggle. View Project
  • Developed an NLP model that predicted which email or message is either Spam or harmful using the TF-IDF vectorization technique to convert text data into numerical format and SVM to carry out The classification.View Project
  • I created a dynamic dashboard using Google Data Studio to visualize profit margins, trend analysis, comparative analysis of sales over time, customer base analysis, and sales analysis by region of a Retail store that sells a variety of products across various countries to enable the making of data-driven decisions. View Project

References

References available upon request.

Timeline

Data Analyst

Suburban Fiber Company
03.2022 - 03.2024

Petroleum Engineering Intern

NNPC
07.2018 - 12.2018

B.ENG., Petroleum Engineering -

Federal University of Technology - Owerri
09.2014 - 12.2019

Data Analyst

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VICTOR EMUCHAY