Hayat

1. Provides data analyses and reports that enhances an increase in sales volume by an average of 1.5% month-on-month.
2. Effectively guides the sales team in setting and tracking accurate forecasts which helps in achieving an average of 2.5% increase in sales value in Q1, Q2, and Q3 2023.
3. Compiling in-depth analysis, and reporting of sales data of all our brand categories and over 100 SKUs by identifying trends and opportunities for optimal sales performance
4. Helps in achieving Sales volume budget on MOLFIX, BEBEM, and MOLPED brands in quarter 1 and quarter 2, 2023 by providing trend insights and measuring the impact of promotions in trade.
5. Develops models and reporting structure for the sales team to monitor sales-in and sales-out of all brand categories at the National and Divisional levels.
6. Effectively guides the sales team in the setting of accurate forecasts which helped in achieving a 2.5% increase in value sales against the previous quarter (Q1 2023).
7. Monitoring and analyzing competition activity with in-depth price intelligence reports and actionable insights which helped increase market share in the hygiene category.
8. Data extraction, transformation, and loading using Power Query.
9. Provides data and sales analyses to channel VPs, Sales Direct, and sales Managers to improve decision making.

Skills: Data Analysis. SAP ERP. SQL. Advanced Microsoft Excel · Forecasting. ETL.

Data Analyst - Sales

HyperionDev

- Provide mentorship support to over two hundred students via Synchronous calls and asynchronous SQL, and Python code reviews. (Zoom Calls)
- Reviews project submissions throughout the Bootcamp program
- Provide personalized feedback to students' project
- Support students' development as a code reviewer using SQL, and Python programming languages for data analysis, data visualization, data science, machine learning, and artificial intelligence via Synchronous calls and asynchronous code reviews.

Skills: Mentoring, Coaching, Data Analysis, Data Visualization, Data Analytics, Data Science, Machine Learning, and Artificial Intelligence using SQL, Python Programming Language (Numpy, Pandas, Matplolib, Seaborn, scikit-learn, TensorFlow, e.t.c)

Data Science and Analytics Mentor (Consultant)

- Provide mentorship support to over a hundred students via Synchronous calls and asynchronous SQL, and Python code reviews. (Zoom Calls)
- Reviews project submissions throughout the Bootcamp program
- Provide personalized feedback to the students' project
- Support students' development as a code reviewer using SQL, and Python programming languages for data analysis, data visualization, data science, machine learning, and artificial intelligence via Synchronous calls and asynchronous code reviews.

Skills: Mentoring, Coaching, Data Analysis, Data Visualization, Data Analytics, Data Science, Machine Learning, and Artificial Intelligence using SQL, Python Programming Language (Numpy, Pandas, Matplolib, Seaborn, scikit-learn, TensorFlow, e.t.c)

Python Code Reviewer (Consultant)

Udacity

- Provide mentorship support to students by responding to technical queries over the knowledge platform
- Review project submissions throughout the Nanodegree program
- Provide personalized feedback to the students submitting their project

Skills: Mentoring, Data Analysis, Data Visualization, and Data Analytics using Python Programming Language (Numpy, Pandas, Matplolib, Seaborn, e.t.c)

Data Analyst Tutor (Nanodegree)

Wild Fusion Limited

- Supported the Pivoting exercise of Supplysmart.co (Fintech) as the Lead Data Analyst
- Managed master data, including creation, updates, deletion
- Led data-driven presentation with top managements.
- Evangelized cloud data warehouse for the loan startup.
- Provided quality assurance of imported data.
- Processed confidential data and information according to guidelines
- Built, managed, and delivered analyses, dynamic, and monitoring reporting dashboards which provided management insights weekly, monthly, and quarterly to measure product's KPIs and profit margin using Google Sheets, Microsoft Power BI, and Google Data Studio.
- Managed and designed the reporting environment, including data sources, security, and metadata
- Led the research for Cloud Data Warehousing Project for the product, identified and revised reporting requirements (Google BigQuery, Microsoft Synapse, and Amazon Redshift)
- Collaborated on initiatives for data integrity and normalization
- Assessed, tested, and implemented new and upgraded software and assisted with strategic decisions on new systems.
-  Carried out statistical analysis on data to find trends, provide business insights, and generate reports from single and multiple systems.
- Evaluated, changed, and updated source production systems.
-  Developed new reporting templates for the business.
- Provided technical expertise in data storage  structures, data mining, and data cleansing. 
- Implemented an end-to-end data architecture.
- Built an end-to-end data pipeline from data sources(MongoDB hosted on DigitalOcean, Google sheet, etc) to Visualisation using open source tools.

Achievement.
In collaboration with the COO, Product Manager, and Frontend and Backend Engineers, I set up a functional data reporting dashboard for the loan facility to achieve a 94 per cent loan collection success rate.

Data Stack: SQL, Python, MongoDB, R, BigQuery Google Sheet, Microsoft Excel, Google Data Studio, Microsoft Power BI, dbt.

Data Analyst Manager

Startupbootcamp

1. I conducted cohort analysis, competitive analysis, and market research for ten startups to measure customer churn and retention rate
2. Provided data support for ten startups
3. Created financial models and analyzed financial data for business decision support
4. Performed reporting on financial performance as well as financial forecasting
5. Designed financial models to support valuation and planning
6. Maintained up-to-date technical knowledge of financial instruments, market conditions, and trends
7. Analyzed, recommended, and led the implementation of improvement initiatives.
8. Collaborated, coordinated, and managed two different startups simultaneously.
9. Developed new reporting templates for the business.

Financial Data Analyst

Oholi Company Limited

1. Set up data collection systems using PostgreSQL and Google Sheet
2. I created monitoring and reporting dashboards using Google Spreadsheet and Power BI.
3. I supported decision-making through data analysis
4. Developed new reporting templates for the business.
5. I designed and built databases and ETL Scripts with PostgreSQL and Python.

Business and Data Analyst

Dangote Industries Limited

1. Collected, explored, cleaned, visualized, and drew conclusions from the data that aided the implementation and maintenance of an enterprise-wide identity and access control management system (UNIS|VIRDI) of over 48,000 staff.
2. Provided data system management support as a data collection and validation officer
3. Collaborated with a team of 20 data analysts to facilitate the automation of employees' smart access cards
4. Supported staff information risk management

Data Analyst

KPMG Australia

Project Description
The goal of the project is to help the organization to know the customer to target in marketing.
• I recommended one customer out of a thousand customers in the test data set (customer list) that should be targeted to drive the most value for the organization.
• Data quality assurance was carried out on the data received, then data transformation and feature engineering before the regression models were used in making the prediction. All these were done using the R programming language.

Detailed Process
Based on the data sets collected from the organization, data quality assurance was carried out. Thereafter, data transformation and feature engineering was done. I then moved on to building and tuning models, using the generalized regression model in R. The one customer with the highest possible value was recommended to the organization. 
Finally, Tableau and Microsoft PowerPoint were used to present the insights from the data.

Skill sets acquired through these projects include the following: 
Data Quality Assessment;
Customer Segmentation; and
Data Insights and Presentation.

Data Analyst Virtual Intern

1. Designed and implemented learning objectives and graded and evaluated students' performance.
2. Trained and Prepared students for the terminal West African Examination with a record 80% success rate.

Mathematics Tutor

National Youth Service Corps

1. Designed and implemented learning objectives and graded and evaluated students' performance.
2. Trained and Prepared students for the terminal West African Examination with a record 87% success rate.

Experienced data professional adept at delivering valuable business insights through analytics and data-driven methods. Open-source advocate and collaborative team player with a track record of providing top-tier, action-oriented solutions to complex research and industrial challenges. Passionate about leveraging big data for business growth using a variety of analytic tools and modern data stacks. Expert in Microsoft Excel, SQL, dbt, Python, and R for Data Analysis and machine learning. Proficient in Data Visualization using Microsoft PowerPoint, Microsoft Power BI, Tableau, and Google Data Studio.

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