Data Scientist with experience in recommendation systems, statistical analysis, data visualization, and machine learning. Also experienced as a Teaching Assistant at Concordia University and in data analysis roles using …
Data Scientist with experience in recommendation systems, statistical analysis, data visualization, and machine learning. Also experienced as a Teaching Assistant at Concordia University and in data analysis roles using Python, SQL, Tableau, Power BI, Spark, AWS, GCP, and related tools.
Developed a recommendation system for the rocket application that increased the click-through rate by 40%.
Generated job recommendations for more than 20 million blue-collar workers.
Conducted statistical analysis to determine the key factors influencing application rates, utilizing statistical analysis techniques and correlation matrices to identify features directly correlated with application creation, resulting in a 10% increase in application rates.
Technologies used: Python, Scikit Learn, Numpy, Pandas, Docker, EC2, Machine learning, LightGBM, MLFlow, HyperOpt.
<p>Led laboratory sessions covering topics such as DC motors, modular design, and flip flops.<br>
Demonstrated expertise in testing electronic components (resistors, capacitors, batteries, diodes) using multimeters.<br>
Assisted students in understanding electric motor drivers, integrated circuits, and potentiometers in electronic systems.</p>
<p>Developed a recommendation system for the rocket application that increased the click-through rate by 40%.<br>
Generated job recommendations for more than 20 million blue-collar workers.<br>
Conducted statistical analysis to determine the key factors influencing application rates, utilizing statistical analysis techniques and correlation matrices to identify features directly correlated with application creation, resulting in a 10% increase in application rates.<br>
Technologies used: Python, Scikit Learn, Numpy, Pandas, Docker, EC2, Machine learning, LightGBM, MLFlow, HyperOpt.</p>
<p>Created sales dashboards representing end-to-end information about leads.<br>
Created daily reports about KPIs (Key Performance Indicators) for the company.<br>
Analyzed data from the campaign run to understand the drop-in funnel report.<br>
Technologies used: Numpy, Pandas, Google Data Studio, PowerBI.</p>
<p>Provided comprehensive instruction on the operation and management of the OpenCIM system, CNC milling stations, and CNC turning centers, ensuring students gained practical knowledge through interactive sessions.<br>
Facilitated learning in system integration and optimization, empowering students with practical skills to streamline manufacturing processes and enhance efficiency in real-world applications.</p>
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