Chigozie R.
Nigeria (UTC+01:00) 🇳🇬
Upstaffer since September 12, 2022

Chigozie R. — Data Analyst

Expertise in Data Analyst (DA).

Last verified on July 04, 2023

Core Skills

Data Analysis
Data Analysis

AI Tools & Assistants

Keras
Keras
Machine Learning
Machine Learning
NumPy
NumPy
Scikit-learn
Scikit-learn
TensorFlow
TensorFlow

Bio Summary

- Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. - Business and Data Analyst with expertise in analysis and testing of business requirements. - Upper-Intermediate English. - Available ASAP.

Technical Skills

Programming Languages Java, Python
UI Frameworks, Libraries, and Browsers CSS, HTML
AI & Machine Learning Keras, Machine Learning, NumPy, Scikit-learn, TensorFlow
Python Libraries and Tools Keras, NumPy, Pandas, Scikit-learn, TensorFlow
Data Analysis and Visualization Technologies Bayes Classification, Business Analysis, Data Analysis, Data Quality, Data visualization, Linear Regression, Logistic regression, Multiple Linear Regression, Naïve Classification, Operations analysis, Pandas, SVM Classification
Databases & Management Systems / ORM MySQL
Soft Skills Research Skills

Experience

HHCARE PHARMACY, Lagos

2020-08 - 2022-01

  • Ordering and ensuring the delivery of goods to customers, Supporting the field sales team
  • Carrying out administrative tasks such as data input, processing information, organizing sales promotional campaign, resolving any sales- related issues with customers, and accurately analyzing customers behaviors and assessing statistical data
  • ACADEMIC PROJECTS
  • Project Title- Sales and Volume analysis
  • The Goal was to build a model that allows a company Management to see the volumes that were sold and the revenue and
  • Margins that were obtained
  • Created and formatted the excel work sheet properly and identified the important variables needed for the success of the project
  • Leveraged the excel pivot table to predict some parameters and filtered my data properly
  • Utilized business mathematical formulae to produce Net sales, Gross Profits, Full Delivery Margin, KPIs and created some slicers that helped filter the table properly
  • Project Title- Predict GPA of students
  • Create a model that predicts the GPA of students given a particular SAT score
  • Imported relevant libraries essential for the achievement of the project
  • Used a least square regression model to predict the GPA of students given the SAT score after defining the dependent and independent variables for predicting the GPA of students given a SAT score.

Data Analyst, Pyragle

2019-09 - 2020-06

  • Wholesales and Retail pricing on Advance Excel tools
  • Help product managers to make sure all pricing is kept up to date
  • Develop sole custom “price of products” to meet extensive customers format and market
    needs
  • Perform the study on forecast, demand, income, capital, and expense for wholesale products
  • Complete several monthly reports and inform and change reports on request
  • Develop new reports where suitable
  • Improved product ranking factors and listing requirements to minimize returns by 26%
  • Boost revenue by 2 million a month, by conducting an exploratory analysis of 3 years
    product trends to detect potential trends and in demand FMCG Products.

Education

B.Sc.: Computer Science & Statistics
University of Nigeria - Enugu
Second Class Upper Division
2021-11

Certificates

  • 2022-06 Power BI
  • 2021-08 Data Strategy
  • 2021-07 SQL
  • 2022-06 BIg Data Hadoop and Spark Developer
  • 2021-07 Statistics
  • 2021-07 Data Analysis with Excel Pivot Tables
  • 2021-06 Python
  • 2021-05 Advanced Microsoft Excel
  • 2021-08 Tableau

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