Ali Ebrahimi
CTO and Co-founder @Dchoice
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WORK HISTORY
CTO and Co-founder @Dchoice
Ottawa, ON, CA
Developed multiple trading and decision-making algorithms using machine learning for different scenarios and market conditions.• Developed a market forecasting algorithm to predict market directions using the deep learning method and sentiment analysis.• Developed multiple automated bots such as a trading bot to execute signals generated by algorithms in real time, a market surveillance bot and a timing botto monitor the market and modify or close order and positions.• Developed data-gathering and reporting structures from the ground up and strategized methods capitalizing on system features.• Leveraged analytics to drive business development, productivity and process improvement and marketing strategies, including customer lifetime modelling,acquisition, retention, win backs and monetization.
EDUCATION
University of Ottawa
Master of Arts - MA, Economics
SKILLS
ABOUT ALI EBRAHIMI
As an experienced Data Scientist with 7 years of experience, and a strong background in economics. I have a good knowledge of data and a strong ability to translate business needs into sophisticated analytical models, build models using suitable advanced analytical methods, look for the right data, and ensure that the insight would drive business action. I have also good experience in agile methodology because of working in well-known companies. Having a good mixture of a strong background in economics, databases and programming languages, I did all of my previous jobs with a significant impact on their businesses.1. CAUBO: Solving one of the major problems to feed their new website by extracting information using REGEX and NLP from more than Pdf files.2. Unilever: they can now figure out the effect of spending on promotions on their KPI like ROI and Lift by the software recommendations and it will increase their Profit and Market Share on their promotion programs significantly.3. Ottawa Hospital: Our software helps the doctors to increase the accuracy of their discussion making by 10%.4. Capital Market Development Fund: They can predict the sign of price by 75% accuracy, I increased their efficiency by 5% as a market maker by modelling the calendar and non-calendar effects. CompuCo: predicting the volume of deposits in the bank by 70% accuracy.Technical Skills: Machine Learning, Data Mining, Statistical Modelling, Quantitative Analysis, Deep Learning, Optimization, NLPSoft Skills: Fast Learner, Teamwork, Hard Worker, Communication, Decision Making, Adaptability, Time Management, CreativityProgramming Languages: Python, R, Java, MATLABCloud Tech: Microsoft Azure, Google Cloud, SOSCIPDatabases: SQL, MongoDB, ETLTools: Hadoop, Spark, Knime, Tableau, Power BI, SAS, SPSS Operating Systems: Linux (Cloudera), Windows, Mac OS Econometrics Packages: Stata, Rats, EViews, Dynare, Microfit, GAMSPython Libraries: NumPy, SciPy, Pandas, Statsmodels, Matplotlib, Seaborn, Plotly, Scikit-Learn, TensorFlow, KerasR Libraries: Dplyr, Ggplot2, Shiny, Plotly, Lubridate, e1071, TensorFlow, Keras, tseries, riskR, PerformanceAnalytics, zoo
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