Data Scientist

JOSHUA SMART OLUFEMI

D A T A S C I E N T I S T

CONTACT

[JOS, NIGERIA]

E ******************@*****.***

T +234********

https://www.linkedin.com/in/joshua-smart-olufemi/

https://github.com/JoshuaSmart-Olufemi

SUMMARY

Enthusiastic data scientist with experience in modeling complex problems, discovering insights using machine learning and visualization techniques. Proficient at integrating large and complex datasets, querying databases, carrying out exploratory data analysis, and communicating results. With good stakeholder management skills, ability to work autonomously and effectively within a team, and excellent verbal and written communication skills to present findings in a clear and structured manner. I am seeking a new challenge within a dynamic and forward organization where I can utilize my expertise and experience to drive growth.

SKILLS

Modelling & Tools – Python, Decision Trees, Random Forest, Neural Networks, Logistic Regression, KNN, Naïve Bayes, Gradient Boosting Classifier

Data Analysis & Visualization – Tableau, Power BI, Advanced MS Excel, PowerPoint, Data Analysis with Pandas and Python, Power Pivot

Databases – Microsoft SQL Server, Oracle SQL Developer, TeraData, PostGRE SQL, Netezza, MySQL Techniques – Market Basket Analysis, Sales Performance Analysis, Interactive Dashboards, Predictive Modelling, Segmentation and Profiling, RFM, Recommendation System with Python Machine Learning, Supervised Learning, Cross-Validation, Ensemble Methods for Feature Selection, Recursive Feature Elimination

WORK HISTORY

DATA SCIENTIST PAIRVIEW LIMITED, NIGERIA [2018-PRESENT]

• Created a product recommendation engine developed in Jupyter Notebook using Python Model- based collaborative filtering approach to support cross-sell strategies that boosted profit.

• Utilized Microsoft SQL server to perform data extraction and integration of data to support data analysis to assess sales channels and company supply chain processes.

• Created interactive sales performance dashboards and visualizations that track business sales trends and patterns across 10 regions of the company to facilitate improved automated reporting in Tableau and Power BI.

• Developed a churn prediction model using algorithms including Neural Networks, KNN, Decision Trees, Random Forest, and Logistic Regression to improve customer retention resulting in an increase in account saves.

• Applying statistical methods to carry out pattern discovery, summarise, aggregate, and analyze data to generate actionable insights and enhance the ability to derive data-driven insights.

• Interpreting models outputs and presenting findings to stakeholders, other data scientists, and business partners in an insightful and simple manner.

• Employed Recency, Frequency, Monetary Analysis (RFM) to carry out customer segmentation across 6 countries.

• Generated market basket models to understand and take advantage of the shopping patterns of customers and the affinity between products that exist within a transaction using the Apriori algorithm.

• Delivered sales analysis reports in PowerPoint and MS Excel, reporting frequency varied from daily, weekly, monthly, quarterly reports, as well as deep-dive analysis and ad-hoc analysis.

• Used open data sources to carry out competitor analysis to determine the strengths and weaknesses of the competitors using products and pricing attributes.

• Developed forecast models using the ARIMA technique in Python to provide forward-looking insights to support sales, planning, and budgeting team.

• Working closely with subject matter experts, internal and external stakeholders to review, analyze, and deliver business data analytics requirements.

EDUCATION

NATIONAL YOUTH SERVICE CORPS 2016 - 2017

B.SC PSYCHOLOGY 2012 - 2016

Covenant University

REFERENCES

To be provided on request

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