An understanding of modern data software and tools, from cloud computing to the many existing commercial products used for data analyticsAs a programmer and a data scientist, I have come across numerous data tools. Though several business analysts complaint that there is very little use for pre-packaged, generally inflexible commercial tools, I myself found the quality of a commercial solution such as Matlab as they have a number of ways for real-time signal processing that I cant find in open tools. When I did analysis job outside of academia, I have been interested in ten top user-friendly free tools to help visualize data and solve data analysis problems: Tableau Public; OpenRefine (Formerly GoogleRefine); KNIME; RapidMiner; Google Fusion Tables; NodeXL; Import.io; Google Search Operators; Solver; WolframAlpha. These are mostly found good for business users. However, for who need the quality, support, and infrastructure of a commercial solution, I recommend SAS or SPSS. For programming works, if my project is not a real-time system or hardware design, I found that R and Python libraries are valuable resources to use. R has great graphic capabilities and hence users who do get involved in analytic may find it better suited. Similarly python can be a great tool especially if you need a web based solution for your users. A knowledge of modern data-centric programing languages including one of Python, R, and development languages including one of C++ or Java *In recent ten years, I have done with Python and R for machine learning in some research collaboration but most of the research tasks I could done within Matlab which is well-supported in academia and a must have when we do with real-time signal processing system. Then when my research projects move down to the firmware and hardware design level, C++ is used most of the time.For example, while I carried out experiments at The Higgins laboratory which studies " From brains to robots, and everything in between" with Prof. Charles M. Higgins, we used FPGA as a special chip for my robot platform that can help understand neural signal from a living dragonfly. So for the software at algorithm design level I have used Matlab scripts. Then I convert this algorithm to a firmware for the robot using C++ which would be transferred further to lower level in FPGA. During the research periods at the University of Sydney, my works involve much in data science with medical data. Hence, apart from Matlab, I incorporate other tool for analysis such as R and Python. Using several languages at the same time help me enlarge the project and quickly find the right way in new research problems. Experience in the use of complex data setsDealing with medical data I understand that it is very important to understand the current complexity of data, and its potential complexity in the future. The main reason I found is that complex data require additional work to prepare and model the data before it is “ripe” for analysis and visualization.Some signs of the complexity I noted are: Size (petabytes may need shifting compressed data into memory. Tall or wide data may require special tools); Dispersed data that stored in multiple locations are both more difficult to gather in a timely and effective manner, and once gathered – will typically require some ‘cleaning’ or standardization before the data sets can be cross-referenced and analyzed; Growth rate of data may cost hardware and software resources. From my experience, understanding the dataset is the first step towards finding an appropriate solution. Data-mining techniques I often use include prediction, clustering, finding outliers, finding local patterns, and matrix decomposition. Excellent interpersonal, verbal and written communication skills with sound negotiating and conflict resolution skills and a demonstrated level of tact and discretion in dealing with day to day operational mattersThroughout my career spanning 10+ years, I possess high level oral and written communication skills which can be demonstrated over the past 7 years in academia and previously for 4 years in technical manager roles. In industrial works, I have communicated with internal and external stakeholders both verbally and in writing on a daily
basis including staff, business partners, boards of managers, government and
community organisations. My persuasive discussions with our business partners have brought to the company fruitful agreements. I have the ability to influence without the use of direct authority, demonstrated in my role as Chief representative officer that helps my team handle call center projects smoothly so that we grew up from a small team to a branch of the company. In recent academic jobs, my verbal and written skills have moved to an advanced level of formal and technical vocabulary for published work in prestigious publication venues. My communication skills now turn to sharp opinions during weekly meetings of the laboratory groups and/or with other scientists in multi-field collaborations (e.g., the Westmead hospital and Woolcock institute). I have published top tier conference talks, posters and journal papers through my Master of Science program in the U.S. at The University of Arizona and my Ph.D. works at The University of Sydney. Ability to work both independently and as part of a team, taking initiative and exercising sound judgement in resolving matters that may arise as part of normal daily workEncouraging productive working relationships, I have shown myself to be an active team member with a proven track history of cultivating associations and detaching obstacles to produce trust and enhance productivity achieving improved workplace communication and team relationships. I have worked without direct supervision, arranging my day and work tasks independently, remaining flexible and adaptable. I have built excellent relationships with managers and team members at both Petrolimex IT JSC., and HTD Telecoms and with several of government officers with whom I remain regular contact. I often participate in after-hours events with co-workers and maintain links with senior and junior members.During my postgraduate research periods, I have gained a thorough understanding of situations where deadlines need to be strictly observed, gaining advanced skills in delegating, planning work tasks according to importance with the ability to work productively in a high pressure, fast paced environment. Sound judgement and common sense have been discussed and applied in my work both in industrial field and academic area with professional expertise. I have found sound judgement often works as key factor in order to publish successful science works. In my industrial employment history, my work mostly dealt with pressure and tight timelines during seasonal customer demand. For examples, when we launched the call center service for the high school certificate exam of the year, all of the technical systems and staff as well as the strategies for marketing and customer service have been under a high pressure due to time constraints.. As a technical manager, |
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