Sedera Rasoanaivo
Data Scientist | Analytics & BI Enthusiast | From Geoscience to AI
I bring sharp analytical thinking, a global perspective, and a hands-on learning mindset to real-world data challenges — across science, business, and education.
📄 [[Resume](<https://docs.google.com/document/d/1AHcweW0MG913aeMS7zDXZJspEmbyhWZ_/edit?usp=sharing&ouid=104101827855339669561&rtpof=true&sd=true>)] | 🔗 [[LinkedIn](<https://www.linkedin.com/in/sederarasoanaivo/>)] | 💻 [[GitHub](<https://github.com/SederaRas>)] | 📊 [[Tableau](<https://public.tableau.com/app/profile/sedera.rasoanaivo>)]
I’m a data scientist with a global background in geology, reservoir engineering, and applied machine learning. After hands-on fieldwork and an experience at TotalEnergies in Paris, I pivoted into data science to turn complex data into real-world insights.
Most recently, I’ve been building AI agents, forecasting models, and NLP pipelines as a consultant at Beam Data. I combine an analytical mindset with cross-cultural experience and a strong commitment to continuous learning.
I'm now looking for a full-time role—data science, analytics, or BI—where I can grow, contribute to impactful projects, and collaborate with mission-driven teams.
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| Data Analytics & BI | 📊 SQL, 📈 Tableau, 📊 Power BI, 📊 Excel, 📊 Google Data Studio |
|---|---|
| Data Science & ML | 🐍 Python (pandas, scikit-learn, Prophet, statsmodels), 🧠 NLP, 📉 Forecasting, 📊 Clustering |
| Databases | 🗄️ PostgreSQL, 🗄️ MySQL, ☁️ AWS Athena, 🗄️ Milvus (Vector DB) |
| Tools & Platforms | ☁️ AWS (S3, QuickSight), 🔗 LangChain, ☁️ Databricks, 🗒️ Notion |
| Soft Skills | 🌍 Cross-cultural Collaboration, 🛠️ Problem-Solving, |
| 💬 Stakeholder Communication | |
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Job Postings Forecasting (In Progress)
AI Agents – RAG + Text-to-SQL System (Beam Project)
Optimal Zumba Location Recommender – NYC
Sales Forecasting – Predicting Product Demand from Tabular Data
Twitter Sentiment Analysis – AI Conversations on Social Media