- Lieu
- Georgina, Ontario, Canada
- Bio
-
• Strong background in statistical estimation, time series modelling, model validation and data visualization methods.
• Exceptional presentation skills demonstrated by lecturing graduate level statistics research topics to guests/professors.
• Computer skills: SQL, MATLAB, R, Python, Microsoft Office (Word, PowerPoint and Excel).
• Excellent team-leading and team-player organizational skills, ability to manage multiple projects and strong relationship building skillset. - Curriculum vitae
- Data Analytics BR.pdf
- Portails
-
-
Vancouver, British Columbia, Canada
-
- Catégories
- Analyse des données Modélisation des données Modélisation financière
Compétences
Profils sociaux
Réalisations
Dernières rétroactions
Rétroaction d'equipe
Rétroaction d'equipe
Projets récents
Data Science Intern for a Fintech Start-up
Number of positions available:1 Our team is seeking one Data Science/ML/AI students who are passionate and creative about Natural Language Processing(NLP). We want this student to be entrepreneurial and willing to learn new ML python libraries. This is an incredible opportunity for any upper year student(s) that are looking to build their resume and portfolio. The student will have the chance to execute on this project and more importantly learn from four professionals. A bit more detail on the project: Background: This student will have the opportunity to develop the backend application that uses python libraries such as NLTK and BS4. The goal of this project is for the student to algorithmically capture information from unstructured text or table data. The student will be working closely with the CEO of the company. If you like the sound of our culture and are ready to tackle this incredible challenge with us, then we'd love to hear from you.
Data Science Intern for a Fintech Start-up
Number of positions available: 1 Our team is seeking one bright Data Science/ML/AI students who is passionate and creative about Natural Language Processing. We want this student to algorithmically capture information from unstructured text or table data. The student will be working closely with the CEO of the company. This is an incredible opportunity for any student that is seriously/looking to build their resume and portfolio. A bit more detail on the project: Background: If you are in your second last or last year of your stats/math/engineering/ computer science or equivalent program. The student must show passion and interested in ML / Data science and is seeking a rare opportunity to learn from industry experts. If you like the sound of our culture and are ready to tackle this incredible challenge with us, then we'd love to hear from you.