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Victor Umunna

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Welcome to my page and get to know about me. I am a construction engineer turned Data Scientist, and I have spent the last three years working in this field and building deployable projects. I am proficient in Machine Learning, Deep Learning and Data Engineering. My first professional encounter with data science was as an intern at Hamoye. During my internship, I built projects with my team members using classification and Deep Learning techniques. I currently work as a Data Analytics consultant at Deloitte and I have provided quality services to clients in the financial services and telecommunication sectors. I also work as a Junior Machine Learning Engineer for Omdena where I have built recommendation systems and chatbots. In my free time, I contribute to Open Source Projects and play basketball. I'd love to chat with you about how I can bring my dedication and passion for data science to your team. I'm excited to hear about your data challenges, and how I can help solve them. Tech Stack: LANGUAGES: Python (Keras/TensorFlow, Sklearn, Scikit Learn, NumPy, Pandas, Matplotlib/Seaborn, BeautifulSoup), HTML, CSS TOOLS: SQL, Git, Power BI, Tableau, AWhift, EMS (RedSR, Glue, Kinesis, Lambda, QuickSight), GCP (GKE, Cloud SQL), Azure(AutoML), Streamlit, Microsoft Excel, MLFlow, Flask, Rest API, Terraform, Airflow, MLFlow, Prefect FRAMEWORKS AND METHODS: Machine Learning / Deep Learning (Computer Vision, NLP), Classification (SVM, Random Forest, Logistics Regression), Recommendation Systems, Regression, Decision Trees, PCA, Clustering, Boosting

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