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Data Analyst Python

Location:
Lagos, Nigeria
Posted:
October 01, 2020

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Resume:

ODEYEMI ISRAEL OLUSEGUN

Mobile: +234**********

E-mail:adgkg7@r.postjobfree.com

Date of Birth: 11th November, 1986

Address: *, ******* ******,

Akoka-bariga, Lagos.

Git Profile: https://github.com/segetii

Career Summary

Providing data-driven, action-oriented solutions to challenging business problems

I am a business-minded data scientist with ability to deliver valuable insights via data analytics and advanced data-driven methods, seeks to establish a career with a company desirous of building a solid team of analysts for business development and strategy design purposes

Technical Tools

Programing Language – Python,SQL

Microsoft Excel

Visualization- Microsoft Power BI

Big Data - Apache spark, Microsoft Azure Studio

Web Frame work: DJango, Flask

Tools and Software – GIT, Atom, Anaconda, Jupiter Notebooks,

Python Libraries – Numpy, Matplotlib, Pandas, NLTK, Sickit-learn, Pytorch

Database – PostgreSQL

Work Experience

Data Analyst

Mctoolu Global Concept LTD

2017 till date

Analysed old information architecture and developed new one

Implemented demand forecast with deep learning models which improved upon forecast accuracy and reduced supply chain inefficiencies

Created dashboards using Python and Power BI. Presented the finding to the business stakeholders and identified the areas of process improvement

Analyses complex problems from functional areas of management, including marketing, operations and supply chain with Python; stats model,pandas and Power BI

Developed customer segmentation algorithm in python which resulted in effective customer profiling

Key Achievement: Applied data mining in procurement process which result in 20% in reduction of cost

Business Data Analyst

Sabre Travel Network

2013–2017

Duties:

Capturing business requirements through active listening & questioning techniques.

Translate user requirement to functional requirement and design documentation using UML, Use Cases, Sequence diagrams, Class diagrams.

Performed gap analysis on business rules, system process flows, user administrations and other requirements.

Providing process definition, analysis and putting together procedures manuals and system documentation.

Defined and tracked key performance indicators for existing and new functions/projects across the company.

Conducted detailed analysis, generated insights and visualizations and published reports based on company-wide data.

Developed a trend forecasting frame work to identify product likely to trend in other to help business take proactive merchandising decision.

Implemented deep learning models using LSTM Network for sales forecast

Compiled sales and service data from members of office team using spreadsheet reports and then migrated that data to local database

Technical Skills

Adept in application of Data Mining Techniques, Machine learning and Deep Learning; K-means analysis, Decision Tree analysis, Linear regression analysis, Logistic Regression, SVM, PCA, LGBM, Naïve Bayes, Random Forest, Recurrent Neural Networks; LSTM, CNN.

Able to create Restful API

Natural Language Processing, Sentiment analysis.

Education

B.TECH (Computer Science and Engineering)

Ladoke Akintola University of Technology, Ogbomoso

2009

Certification

The Data Science of Retail, Sales and Commerce

Issuing authority LinkedIn Jan 2019

Advanced SQL for Data Scientist

Issuing authority LinkedIn Jan 2019

Building a Recommendation System with Python Machine Learning & AI

Issuing authority LinkedIn Dec 2018

Academia Projects Undertaken

Title: Digital cash payment system for mobile phone users.



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