
smita sahoo
Technology / Internet
About smita sahoo:
Almost 7 years of experience in machine learning, NLP, data science, analytics, OBIEE reporting and data warehousing. Demonstrated proficiency in various statistical methods and models, and skilled in constructing predictive models and working with MIS systems with large data sets
Experience
With a strong background as a software engineer, I have gained significant experience in diverse domains such as telecom, semiconductor, CPG, and oil and gas industries. Having worked in various multinational companies such as Accenture, Oracle, and L&T Infotech, I have had the opportunity to collaborate with cross-functional teams and take ownership of critical projects. I have developed machine learning models for a wide range of tasks, including supervised and unsupervised learning, and time series forecasting, using algorithms such as Linear Regression, Clustering, and XGBoost. My experience in MIS reporting and adhoc reports using Oracle Cloud, python,SQL, Business Intelligence, and BI Publisher has enabled me to present complex data in an easy-to-understand format and drive data-driven decision-making.
Education
Master of Engineering Industrial Engineering -Concordia University
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Jobs near Montréal, Montréal
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Societe Generale Montreal, QuebecAs a data scientist for Societe Generale Internal Audit Americas, you will be responsible for driving the data/AI transformation of the audit hub by implementing IGAD's data-driven audit strategy and its four pillars: data access, auditors' data skills, integration of data into t ...
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Materials Scientist
1 month ago
Omniply Montreal, QuebecWe are looking for a Materials Scientist to support development of Omniply’s new materials for delamination of thin films used for fabricating the next generation of flexible organic light-emitting diode (OLED) displays. · ...
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Data scientist for SG Internal Audit Americas
3 weeks ago
Societe Generale MontrealJob summary · Be responsible for driving the data/AI transformation of the SGIAA audit hub by locally implementing IGAD's data-driven audit strategy and its four pillars: data access, auditors' data skills, integration of data into the audit process, and data/AI tools. · ...