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My ambition as a computer engineer and data scientist is to work for the IT industry providing my services and constantly improving my skills and knowledge on this field of arising interest and importance. Processing data using the latest technologies, to provide companies, organizations or even governments with significant knowledge and insight for crucial matters (commercial, security, etc.) is what I intend to work for. Data is information in its abstract form, which can provide knowledge. With knowledge comes great responsibility, thus I believe that working as a data scientist is highly influential and contributing, giving us the chance to add another brick in the wall of a better tomorrow.
A results-driven data scientist, who can think “out of the box”. Self-motivated, quick learner and persistent. Experienced in various programming languages, frameworks and libraries. Capable of manipulating datasets, performing statistical analysis, solving complex problems and managing tight deadlines.
Accomplished Data Scientist and Machine Learning Engineer with extensive consultancy experience. Excellent understanding of Statistical methods coupled with Engineering and Computer Science background. Worked on Machine Vision and Natural Language Processing. Analytical approach to problem solving yet stay focused on client objectives.
• Developed a Machine Learning model to classify objects in video footage using transfer learning (YOLO v3). • Time series analysis and anomaly detection. • Comprehensive knowledge of ETL techniques using Python and SQL. • Comfortable with a variety of software tools and learn new ones quickly when required. Self-taught in Visual Basic and PHP when need as part of a workflow. • Automation Practice Leader for IBM UK. Managerial and team-lead experience. Generate ideas for optimizing existing workflows through automation.
I am a data science and analytics consultant with more than 10 years of experience in extracting insights from big and small data sets, identifying data-driven solutions for business problems and driving business growth. I have led projects on cutting edge data analytics problems with Facebook, Government bodies, Insights Centre and multiple international startups in Internet, Advertising, Retail, eRecruitment, PMO, Operations, Hospitality, and Real estates.
Main skills: - Data Science, Machine learning - Statistics - Forecasting - Text analytics, Text mining and Natural Language Processing - Business intelligence - Python, Pandas, Numpy, Scikit-learn - SQL, Hive, Presto - MySQL, Vertica, Oracle, SQL Server, CSV, JSON - Data Visualisation: Tableau, Microstrategy
I have been involved with data for more than 20 years, been a consultant and instructor of SQL, Business Intelligence, SSIS, SSRS, SSAS, data mining, Big Data, Hadoop, machine learning, R, Pig, Hive, MapReduce.
Recently, helped to develop and set up automation using SAS DI Studio to run hundreds of report per month, and implemented monitoring tools for the DI Studio. Implemented Credit Scorecard using weight of evidence/information value and implemented cash flow model for calculate the impact uplift from model and cost Developed Hopfield Stochastic model to calculate probability of default, and reduce the time of calculation from 2^n to 2n Integrated the partial differential equation of logistic type equation (including gompertz / baranyi) instead of from time 0 to t and calculate from any time point t1 to t2 Implemented a program to download customer feedback into SQL database, then use R to perform word cloud, and putting summary back to Excel report, just by one button and within 2 minutes.