Dada Olujare

*. Personal Details:

Email: adimh5@r.postjobfree.com Tel: +234-**-***-**** Location: Lagos LinkedIn: LinkedIn.com/Dada_Olujare

2. Skills and Competences

Certified Microsoft Azure Data Scientist. Certification found Here

Statistical analysis, Data analysis and analytics

Machine learning, Deep learning, Reinforcement learning

Data Visualization, Data Wrangling, Data Manipulation and Data Clustering.

Data Augmentation, Dimensionality reduction, Feature extraction and Feature generation.

Data preprocessing, k-fold cross-validation, Hyper-parameter tuning.

Web scraping

Q-learning and Deep Q-learning for process optimization, cost minimization and revenue maximization. 3. Software skills:

Highly proficient in designing Data Science solutions and Data Engineering on Microsoft Azure platform.

Highly proficient in Python and Data science toolkits like Anaconda, Spyder, Jupyter Notebook, Pycharm, Numpy, Pandas.

Highly proficient in using Tableau for Data Visualization.

Proficient in writing SQL code for creating, manipulating Data tables and other ETL processes.

Highly proficient in Linux Bash scripting.

Highly proficient in Microsoft Excel, Word, PowerPoint.

Proficient in Visual Basic programming language. 4. Projects completed:

Market Sentiment and Analysis:

I helped create text mining and sentiment analysis algorithms for a local retailing service using data from their customer feedback sections and product ratings in light of company financial and personnel growth. This led to the company boosting its sales by 23% in next couple of months.

Company Stock predictive modeling:

I helped in developing forecast models for a company’s stocks over the coming months given several market indicators, the financial state of the company as well as competitor's stocks. This helped the company boost their stocks by 14%.

HR analytics: JanataHack: HR Analytics (Analytics vidhya data science competition): A competition to determine which students of a training institute would pursue a career in their enrolled courses, to help companies in related fields, with candidate recommendations. Ranked within the top 1% of the 5536 registered contestants, and 80 teams.

JanataHack: Machine Learning for IoT (Analytics vidhya data science competition): A competition in which data scientists were required to predict traffic congestion at 4 major junctions of a city, given traffic data recorded hourly. My score ranked within the top 20 of the 7429 registered contestants and 47 teams.

Food Demand Forecasting (Analytics vidhya data science competition): The competition entails forecasting food demand for a meal delivery company operating in multiple cities to aid planning of stock and staffing of their various outlets. Ranked within the top 3% of 10,727 registered contestants.

Fraud Detection in Credit Card Applications (Python, Pandas, Matplotlib, Artificial Neural Network

(ANN), Self-organizing Maps (SOMs)): This was a personal project in which I was required to determine which customers in a bank have committed fraud. The task was an unsupervised learning challenge.

Hash Analytics Capstone Project: Company Attrition: This project required data scientist to extract insights from data of a company with high attrition. They were: i. Reasons employees were prone to leave. ii. What types of employees were prone to leave? iii. Predict which employees are likely to leave in future. iv. The project also required presenting a PowerPoint slide filled with easy-to-understand visualizations.

For summaries on some projects I have done, please click this link project documentation 5.1. Work History:

Oralab inc. IT & Data Center Solutions, Georgia, ATL. Job Title: Data Science intern From: September 2019 – August 2020. Job Description:

Working with stakeholders from client organizations to better identify opportunities for leveraging company data to drive business solutions.

Developing and improving custom predictive models for clients seeking insights from their data.

Building data visualizations used in presentations and clients’ data warehouse summary.

Develop company A/B testing framework and test model quality.

Pulling, Merging and Analyzing data with SQL.

Providing proof of concepts for data pipelines and related assumptions and analysis.

Creating reports and PowerPoint presentations on how to leverage data insights. 5.2. Work History:

Hash Analytics.

Job Title: Remote Data Science Intern (online) From: April 2020 – May 2020. Job Description:

Learned how to implement machine learning models on real-life data of a company undergoing high attrition.

Learned how to visualize, design and implement a plan for an end to end capstone project.

Learned how to effectively communicate data driven ideas and how to remain efficient while meeting every deadline.

6. Education:

2019 – Machine Learning A-Z™ Hands-On Python & R In Data Science – Udemy. 2019 – The Data Science Course 2019: Complete Data Science Bootcamp – Udemy. 2019 – Algorithms and Data Structures in Python – Udemy 2019 – Deep Learning A-Z™ Hands-On Artificial Neural Networks – Udemy 2011 - 2016: Electrical Electronic Engineering (BSc.) – University of Ibadan 7. Hobbies and Interests:

Reading about latest development in Cosmology and Artificial Intelligence.

Playing video games and exercising.

Writing, Portrait pencil drawing and improving my knowledge of Mathematics.

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