- Name: Brice Donald Abodo
- Email: boodscode@gmail.com
- LinkedIn: Brice Abodo
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Master's Degree in Artificial Intelligence
- ITMO University, St. Petersburg, Russia
- Expected Graduation: 2025
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Bachelor's Degree in Information Technology
- RSVPU, Ekaterinburg, Russia
- 2019-2023
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Master's Degree in Audit and Finance
- Coastal University, Douala, Cameroon
- 2016-2017
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Bachelor's Degree in Accounting and Finance
- Catholic University of Bertoua, Bertoua, Cameroon
- 2013-2016
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Data Scientist Intern
- Rabotaru, St. Petersburg, Russia
- Achievements:
- Built a salary prediction model using machine learning (CatBoost, PySpark, Hadoop), improving prediction accuracy by 11% (MAPE 0.247).
- Enhanced platform efficiency by reducing data processing time by 30%.
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Programmer Intern
- VAVT, Moscow, Russia
- Achievements:
- Developed a multiclass text classification model using deep learning with 80%+ accuracy.
- Authored a scientific paper on sentiment analysis, currently under review.
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Software Developer
- KVadragroup, Ekaterinburg, Russia
- Achievements:
- Designed a recommendation system to optimize user interaction, boosting client engagement by 15%.
- Developed data processing scripts that reduced operational costs by 10%.
- Programming Languages: Python, SQL, C#, JavaScript
- Machine Learning: Scikit-learn, CatBoost, PyTorch, TensorFlow
- Data Visualization: Power BI, Tableau, Matplotlib, Seaborn
- Big Data Tools: PySpark, Hadoop, ClickHouse
- Natural Language Processing: BERT, GPT, NLTK, Spacy
- Languages: English (Native), Russian (C2), French (C2)
- Winner of ITMO Hackathon: Built a food allergy detection app integrating machine learning with frontend development.
- Contributor to an NLP-based salary prediction project for Rabotaru.
- Published papers on NLP and data augmentation.
- Hobbies: Football, cooking, and exploring emerging AI technologies.
- Salary Prediction Model: An interpretable salary prediction model improving job search accuracy.
- Text Classification System: Sentiment analysis leveraging advanced NLP techniques.
- Developing personalized recommendation systems using deep learning.
- Exploring the integration of metaverse banking with data visualization tools.