Hi, I'm Ibrahima Fikry Diallo
Whether it’s turning complex data into actionable strategies or developing analytics tools that make decision-making easier, I’m all about making data work smarter—not harder 😁.
Curious about my work? Dive into my portfolio, and let’s collaborate to solve your next big challenge!
About Me
From data to Insights: My Journey in Data and Analytics
As an Operations Research and Decision Support Engineer with a solid foundation in Statistics and Econometrics, I’ve always been drawn to the challenge of turning data into actionable insights.
Whether it’s diving deep into statistical models or optimizing complex systems , I thrive on finding the patterns and details that others might overlook.
But it’s not all data and algorithms. Communication is at the heart of what I do. I believe that the best solutions are the ones that everyone can understand, which is why I’m committed to being not just an effective analyst, but an effective communicator as well. After all, data is only as good as the story it tells—and I’m here to make sure that story is clear, compelling, and maybe even a little bit entertaining.
Solution-oriented
Problem-Solving
Flexible
Adaptability
Highly Efficient
Time Management
Detail-oriented
Attention to Detail
Education & Experience
Education
Experience
ThinkONE Research & Consulting
• Statistical analysis of survey data and Dashboards building
• Research and implementation of statistical analysis methods for survey data (TURF, MaxDiff, Factor Analysis).
• Research and implementation of qualitative data analysis methods using Python (Facial coding, Sentiment analysis)
OCP Group
• Statistical modeling and forecasting of Corn and Diammonium Phosphate sales prices of two main customers.
• Analyzed the time series with R and then used the ARCH/GARCH models for forecasting.
• Forecasting of phosphate consumption of two main customers using Machine Learning models.
• Manipulated two databases of 14 variables each to Forecast Phosphate consumption using the Extrem Gradient Boosting (XGBoost) and Long Short-Term Memory (LSTM) models for each database.
• Built a Web application using R-Shiny.
Banque Centrale Populaire
• Mathematical modeling of Financial Market risks (Interest rates mainly).
• Used the stochastic models: Brownian motion, Hull-White, Cox-Ingersoll-Ross (CIR) and Geometric Brownian motion.
• Calibrated and Simulated the models using Python with a database of 500 daily observations
• Valuation and computation of the Value-at-Risk (VaR) of a 900 forward exchange contracts Portfolio.
• Computed the VaR using Historical and Monte-Carlo Simulation methods
• Built a Desktop application using Python-Tkinter.
What I Bring to the Table
Skills
Statistics and Econometrics
- Econometric modeling
- Analyzing survey Data
- Hypothesis testing
- Sampling
- Experimental design
Data Science & Analytics
- Importing and cleaning Data
- Data modeling & Statistical Learning
- Data analysis and story telling
Consulting
- Problem solving
- Critical thinking
- Management consulting
- Strategy consulting
- Leadership & Communication
Mathematical modeling, Optimization, and Decision support
- Linear and non linear programming
- Integer programming
- Resource allocation
- Multi-criteria Decision making
- Inventory management
- Demand forecasting
- Production Scheduling
Programming Langages and technologies
- R
- SQL
- Python
- Excel
- Tableau
- PowerPoint
- CPLEX
- AMPL
“Develop a passion for learning. If you do, you will never cease to grow.” Anthony J. D’Angelo
Certifications
- All (27)
- Career and Skill Tracks (3)
- Statistics and Econometrics (4)
- Data Science (10)
- Consulting (10)
- Operations Research
Mckinsey Forward Program
McKinsey Forward Program
Management Consulting Simulation
Management Consulting Simulation
Strategy Consulting Job Simulation
Strategy Consulting
Data Analyst
Data Analyst in R
Intermediate SQL
- Data Filtering: Mastered techniques to filter and compare data for targeted insights.
- Aggregation: Learned to use aggregate functions with sorting and grouping to summarize data.
- Query Best Practices: Developed skills to write clean, efficient SQL queries.
Financial Modeling in Excel
- Financial Modeling
- Scenario Analysis: Forecasted outcomes and conducted sensitivity analysis.
- Time Value of Money
- Capital Budgeting: Applied metrics like net present value (NPV) and internal rate of return (IRR) to drive business decisions.
"Theoretical knowledge is the foundation, but practical application builds the structure." — Anonymous
My Portfolio
- All (5)
- Statistics & Econometrics
- Data science & Analytics (1)
- Consulting (4)
- Operations Research
Introduction to Strategy Consulting Job Simulation
• Learned how to think creatively by challenging the assumptions that guide today’s thinking.
• Used effective brainstorm strategies to generate ideas to help a fictional luxury clothing company increase sales revenue.
Skills: Brainstorming, Creativity, Critical Thinking
Strategy Consulting Job Simulation
• Completed a job simulation where I advised a hypothetical local telco company, Company X, facing a decline in profits
• Conducted market research to determine the feasibility of the proposed solution
• Used excel to build a model to predict the potential profitability of the proposed solution
• Communicated a summary of key findings in a clear presentation to stakeholders.
Skills: Business judgement, Business knowledge, Client communication, Critical thinking, Data gathering, Excel, Financial basics, Financial modeling, Market research, Powerpoint, Professional communication, Project Management, Sensitivity analysis, Stakeholder management, Synthesis
Management Consulting Simulation
• Completed a job simulation focused on business transaction diligence for a PwC management consulting team
• Created a three-slide presentation for synergy potential in a transaction
• Built a model with editable fields and assumptions
• Wrote a clear, concise email summary to communicate my findings.
Skills: Analysis, Attention to Detail, Basic Financial Statements, Basic Modeling, Business Performance Terminology, Communications, Data Collection (Qualitative), Microsoft PowerPoint, MS Excel, Presentation/Deliverable Production, Prioritization, Research, Strategic Communications, Structure
Predicting Car Insurance Claims
Data Cleaning and Logistic Regression
Digital Transformation Job Simulation
• Completed a simulation involving developing a new app to help a hypothetical client, CoffeeCo, combat declining sales
• Conduced market research to understand emerging trends in using apps to improve customer engagement in F&B industry.
• Analyzed customer pain point data and provided a recommendation on which issue to solve in the app
• Reviewed and prioritized app features and used Trello to set up an agile project management plan
Skills: Agile methodology, Brainstorming, Business judgement, Categorization, Creative thinking, Critical thinking, Evaluation, Financial modelling, Market Research, MS Excel, Powerpoint, Prioritization, Project Management, Project planning, Stakeholder management, Synthesis
You may find it helpful to know...
FAQS
Yes, I am available for freelance or consulting projects. If you have a project in mind, just reach out through the ‘Contact’ section, and we can discuss how I can help.
I can work on a variety of projects, from data analysis and statistical modeling to decision support systems and optimization. If it involves data, I’m probably interested in it!
Yes, I can offer training sessions and workshops on data analysis, statistical methods, and decision support. If you’re interested in learning more, feel free to reach out, and we can discuss your needs.
Interested in working with me?
Blog
Coming soon...
Contact
Get in Touch
- ibrahimafikrydiallo@gmail.com
- +212655444558
- Casablanca/Morocco