Reza Moshksar
Senior Data Scientist @Moneris
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WORK HISTORY
Senior Data Scientist @Moneris
CA
Successfully collected and analyzed data from multiple departments at Moneris to develop an accurate customer attrition model on extremely imbalanced data.• Conducted customer survival analysis and customer lifetime value (CLV) analysis, providing valuable insights to inform business decisions.• Developed customer segmentation models tailored to business needs, improving marketing and retention strategies.• Successfully developed advanced time series forecasting using machine learning for a treasury project, providing accurate baseline forecasts for inflow and outflow volumes, transactions, and other key revenue/expense drivers, which are now standard in the corporate planning process.Overall, my experience in collecting and analyzing data to develop predictive models and conducting customer analysis makes me a valuable asset to any organization seeking to improve customer retention and acquisition strategies through data-driven insights.
EDUCATION
Politecnico di Milano
Doctor of Philosophy - PhD, Building Sciences/Technology
ABOUT REZA MOSHKSAR
As a seasoned data scientist with over a decade of experience, I excel in extracting insights from complex data. My expertise spans data mining, business analytics, and predictive modeling, and I leverage a wide range of statistical and machine learning techniques to deliver value to my clients.My passion for cutting-edge technology has led me to specialize in machine learning, deep learning, and big data analytics. I am proficient in both Base and Advanced python programming, and I have extensive experience with popular open-source tools like E-miner, Python, and Apache Spark (PySpark).One of my greatest strengths is my ability to thrive in collaborative team environments. I enjoy working with other experts to solve complex problems and am always ready to tackle ad hoc requests or large-scale projects independently.Overall, my combination of technical expertise, collaborative spirit, and independent work ethic make me a valuable asset to any organization seeking to harness the power of data science.Please visit my website https://omnidatatec.com/Key Skills :Machine Learning | Deep Learning | Big Data |Marketing Analytics |Customer Segmentation| Fraud Analytics | Collection Analytics | Digital Analytics | Image Processing | Natural Language Processing (NLP)Hands-on expertise on various statistical techniques:Logistic Regression | Decision Tree | Random Forest | Gradient Boosting | SVMs | Neural Networks | KNN | CNN | Ensembling | Clustering | Data mining|
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