Al-hassane Cissé
Data Scientist, Data Engineer
LAFIABOUGOU, TALICO, R 153, P 76, BAMAKO, MALI
Summary
Professional software developer and data engineer with a strong foundation in machine learning, time-series forecasting, and scalable data systems. Adept at designing end-to-end data pipelines, developing predictive models, and integrating analytical tools into real-world applications. Skilled in Python, SQL, SARIMA, LSTM, and dashboard development, with experience deploying hybrid forecasting models and Explainable AI for smart energy optimization. Known for analytical thinking, cross-functional collaboration, and delivering impactful, data-driven solutions in both academic and applied environments.
Overview
3
3
years of professional experience
2
2
Languages
Work History
Postgraduate Research
Advanced Energy Consumption Forecasting
Kuala Lumpur, Kuala Lumpur
03.2025 - 06.2025
- Designed and implemented a hybrid energy forecasting model combining SARIMA and LSTM to accurately predict household electricity consumption from smart meter time-series data.
- Conducted thorough data preprocessing, including timestamp formatting, trend decomposition, normalization, and missing value handling to ensure high-quality model inputs.
- Used SARIMA to capture linear and seasonal patterns and LSTM neural networks to learn complex, non-linear dependencies in the energy consumption data.
- Integrated both models into a hybrid structure to leverage the strengths of statistical and deep learning methods for improved forecasting accuracy.
- Evaluated model performance using MAE, RMSE, and R², and visualized forecasting results against actual energy usage trends.
- Built an interactive dashboard using visualization libraries to allow real-time analysis of predictions, comparisons, and usage trends.
- Incorporated SHAP-based Explainable AI to provide transparency into the LSTM component’s feature contributions and enhance trust in the model outputs.
- Documented the full research process in an academic report, presented findings to academic panels, and strengthened expertise in time-series analysis, hybrid modeling, and interpretable AI.
UNDERGRADUATE PROJECT
Design of an E-commerce Mobile Application SUGUBA
Kuala Lumpur, Kuala Lumpur
06.2023 - 07.2023
- Designed and developed a fully functional e-commerce mobile application named SUGUBA using Ionic Framework and Angular for front-end development.
- Built user-friendly interfaces for customer registration, product browsing, cart management, and secure checkout.
- Integrated a MySQL database for product storage, user profiles, and transaction data management.
- Applied responsive design principles to ensure mobile compatibility and smooth user experience across Android devices.
- Collaborated in a small development team, practicing Agile methods for project planning and task tracking.
- Focused on optimizing loading times and implementing client-side validation for better performance and security.
- Conducted unit and system testing to ensure a bug-free experience prior to deployment.
- Strengthened communication and technical writing skills by documenting features and preparing a final project report.
Intern
CMDT
09.2022 - 11.2022
- Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.
- Gained valuable experience working within a specific industry, applying learned concepts directly into relevant work situations.
- Analyzed problems and worked with teams to develop solutions.
- Contributed to a positive team environment by collaborating with fellow interns on group projects and presentations.
Education
Bachelor's Degree in Business Information Technolo -
Institue Africaine De Management (IAM)
Bamako, Mali 04.2001 -
Master of Science, MSc in Data Science And Busines -
Asia Pacific University of Technology & Innovation
Kuala Lumpur, Malaysia 04.2001 -
Skills
- Python (Pandas, NumPy, Matplotlib, Seaborn)
- TensorFlow / Keras (LSTM modeling)
- Statsmodels (SARIMA modeling)
- SHAP (Explainable AI)
- Streamlit or Dash (for interactive dashboards)
- Git / GitHub
- Tableau
- Power BI
- Application development
- Data Preprocessing
- Team collaboration
- SQL
- Snowflake
Hobbies
● Building predictive models and smart data dashboards
● Exploring AI for social impact and behavioral analysis
● Reading research papers and following data science trends
● Participating in machine learning competitions (Kaggle)
● Learning emerging tools in cloud computing and data engineering
Timeline
Postgraduate Research
Advanced Energy Consumption Forecasting
03.2025 - 06.2025
UNDERGRADUATE PROJECT
Design of an E-commerce Mobile Application SUGUBA
06.2023 - 07.2023
Intern
CMDT
09.2022 - 11.2022
Bachelor's Degree in Business Information Technolo -
Institue Africaine De Management (IAM)
04.2001 -
Master of Science, MSc in Data Science And Busines -
Asia Pacific University of Technology & Innovation
04.2001 -
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