Doan Khanh Vu Tran Email & Phone Number
Who is Doan Khanh Vu Tran? Overview
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Doan Khanh Vu Tran is listed as Principal Data Scientist at StreetLight, a with 153 employees, based in Greater Vancouver Metropolitan Area, Canada. AeroLeads shows a matched LinkedIn profile for Doan Khanh Vu Tran.
Doan Khanh Vu Tran previously worked as Director at Tran Doan Gia Co. Ltd and Senior Data Scientist at Streetlight. Doan Khanh Vu Tran holds Master'S Degree, Data Science, 96.2% from The University Of British Columbia.
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About Doan Khanh Vu Tran
A former Software Developer at Citibank Singapore who turned into an Entrepreneur in Vietnam and is currently working as a Data Scientist / Data Engineer at Streetlight Data. Therefore, I am capable of performing tasks of a Data Scientist, such as building a model or researching new hypotheses, and processing data as an experienced Data Engineer. At the same time, I can communicate with Senior Software Developers regarding technical terms. I have an entrepreneur mindset and I highly value long-term gains at the expense of short-term extra efforts.I am adept at:1. Scheduling tasks: I can work on multiple projects in parallel and still can meet the deadline. I tend to analyze the scope and dependency of each project, benchmark them against my expertise, and identify relevant teammates who can help speed up the projects.2. Solving problems: My great critical thinking skills help me identify bugs, find their root causes, and quickly fix them. More often than not, I might present multiple solutions to stakeholders with their pros and cons, and also advise them on the optimal one.3. Continuously improving the workflow: I typically take the initiatives to improve upon the tasks allocated to me by automating them, documenting steps that I took in details, together with the associated codes, and performing QA checks to ensure the reliability of my results. In addition, I have developed a habit of suggesting ways that we can optimize the procedure.4. Constantly supporting coworkers: Depending on my workload and urgency of tasks in hand, I normally prioritize helping other teammates who need my help. It helps unblock their work and plays an important role in helping them finish their tasks on time, which is a big win for the whole team.Outside of work, I am an avid traveler with years of experience of utilizing miles and points to redeem first and business class airline tickets at lower costs. You can have a look at some of the trips made by my wife and I during the 2017-2019 period on this website (https://vumiles.wordpress.com/). Unfortunately, it is written in Vietnamese, but you may get an idea via photos uploaded.
Doan Khanh Vu Tran's current company
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Doan Khanh Vu Tran work experience
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Director
• Founded a firm specialising in importing English children’s books from the UK into Vietnam.• Achieved net sales of over $300,000 for the 2019 fiscal year and became Usborne Publisher’s biggest partner in Vietnam.• Collaborated with 20 Vietnamese wholesale customers to analyze their demands for each UK publisher and aggregated their orders to send to UK publishers every 3 months with an average order of $75,000.
Senior Data Scientist
Data Scientist
CVD Volume model• Build the first version of our CVD Volume model by experimenting relevant features.• Interpret the feature importance scores and retain the most impactful features.• Standardize the pipeline to shorten time spent on processing data and releasing a new model.• Take the initiative to conduct QA checks on the result, identify bugs and fix them accordingly.Data Evaluation• Evaluate different Location-Based Service (LBS) and Connected Vehicle Data (CVD) data suppliers to enrich and expand data services.• Utilize Talend, an ETL tool written in Java, to convert raw data points into meaningful trips. This includes running and monitoring 80 - 160 concurrent threads using parallel.• Automate the previously manual processes for the analysis of usability of these data sources, resulting in a faster turnaround time of 2 days. Present the pros and cons of each data source visually with heatmaps / charts.Quantize Coordinate• A 2-month long project that is expected to save the company 25% of storage cost.• Test the feasibility of quantizing CVD geoms to save space, based on previous research from another teammate.• Come up with the whole workflow and plan to test this idea in Production, and execute the whole Production run.• Collaborate with multiple stakeholders, including Data Architect, SVP of Engineering, QA, Validation team, Product Manager...Handoffs• Lead the project to standardize the handoffs to WebApp teams across different metrics. This helps shorten our handoffs by 30%.• Find bugs, identify root causes, come up with solutions and notify affected stakeholders.• Explore QA checks to eliminate potential bugs, speeding up the bug fixing process.Team support• Develop Python scripts to scrape websites to extract Bike counters for the Bike Volume project.• Contribute to an innovative Jacobs project by providing important info related to CVD data.Tools: QGIS, DBeaver, Talend (ETL), Jupyter Notebook, Conda
Machine Learning Consultant
Capstone project, MDS 2021.• Came up with a technical solution to assist real estate investors in finding investment houses in the United States to buy and rent out for profit.• Built a supervised Machine Learning model to estimate monthly rent and took into account other factors such as mortgage rate, interest rates, downpayment amount… to determine a property profitability.• Explored various regression models such as Ridge, XGBoost, LGBM, CatBoost and Neural Networks using PyTorch to reduce the MAPE error. In the end, CatBoost model was chosen with a MAPE of 11%, and this result generalized well to the test data set. • Developed a user-friendly website using Dash to display final results to investors with a profit range based on 95% confidence interval and customized based on individual’s financial capability to facilitate their decision making process.• Followed an iterative workflow with data preprocessing, hyperparameter tuning, feature engineering, handling data missingness...Tools: Jupyter Notebook, Dash
Management Associate, Ocean Market Data
• Built Java Rest APIs to download Macro Strategy, Equity Implied Volatility, FX Implied Volatility, FX Forward, FX Spot... data.• Engineered a Python application to automatically search for, download and insert Bloomberg SDR data into Netezza DB.• Fully automated a procedure to process macro strategy data and upload into Netezza DB by utilizing Python and Java.• Implemented Python scripts to monitor status and throughput of Flume source/channel/sink using Cloudera Manager API.
Management Associate, Multi Asset Group, Citiquote
CitiQuote is the Straight-Through-Processing Over-The-Counter Equity Option Trading Platform for Citi. The platform offers various kinds of options, ranging from vanilla, barrier, basket to accumulator, decumulator options... The underlying technology is ASP.NET MVC4.Projects include:• Developed an Indication Web Portal for Accumulator/Decumulator options.• Developed a Mail Indication component where users will automatically receive price indications sent to their emails on a daily basis.• Implemented a mechanism to prevent CSRF (Cross Site Request Forgery) for web portal.• Revised how users import/export rules in WPF using XML format• Automated MIS reports for users to be generated from Excel spreadsheets using VBA macro instead of having the team send them per request.
Student
Undergraduate Discussion Leader
• Collaborated with professors in invigilating 2 practical exams, marking exam papers and giving student feedback to enhance their programming skills.• Taught 20 junior students by conducting weekly tutorial sessions in CS1010: Introduction to Programming Methodology and answering their queries in an online forum.• Discussed students’ performances with professors to identify underperformed students and give them more supports on a weekly basis.
Summer Intern, End User Service Delivery, Application Support Center
Counterparty Risk Trading It Support Analyst Intern
• Developed applications in C# for 10 team members to monitor daily risk-calculating batches. As a result, the whole team could easily identify issues, coming up with solutions and delivering reports on time for traders to execute important trades. • Created macros in Excel to automate the reporting process, which reduced time spent on preparing weekly reports from 4 hours to 5 minutes.• Analyzed critical metrics to measure performance in Incident Management, Application Releases, Batch Issues… Using this result, Singapore and London teams could save 1 hour figuring out and discussing the issues in weekly meetings.• Utilized Excel VBA to automatically synchronize the batch information between Excel Sheets used by our team and an online Unity website which normally took the team 30 minutes to update every day.• Utilized C# to develop weekly-scheduled program to remove old log files in remote database servers based on user’s customization. Normally, team members had to remote access to more than 50 servers to delete them manually, which took them more than 1 hour.
Marketing, Sale Dealer And It Intern
• Worked closely with Gia Long, a greeting card company, in analyzing competitors, identifying the growing niche market and developing marketing strategies for their penetration into the United Kingdom market.• Developed an online platform as an advertising tool and transaction facilitator using PHP and MindMap Manager, Google Apps, CSS. • Contacted newspapers’ managers via email and phone to advertise new types of greeting cards for Journalist’s Days, which was a breakthrough product.
Colleagues at StreetLight
Other employees you can reach at streetlightdata.com. View company contacts for 153 employees →
Katherine Merifield
Colleague at StreetlightUnited States
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Shay Lehmann
Colleague at StreetlightBrooklyn, New York, United States
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Adham Kalila
Colleague at StreetlightSan Francisco, California, United States
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Chris Brasier
Colleague at StreetlightDurham, North Carolina, United States
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Ari Kaputkin
Colleague at StreetlightNew York, United States
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Tristan F.
Colleague at StreetlightCanada
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Emma Swarney
Colleague at StreetlightCambridge, Massachusetts, United States
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Ronak Gavandi
Colleague at StreetlightSan Francisco Bay Area, United States
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Alex Taciuk
Colleague at StreetlightVancouver, British Columbia, Canada
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Fred Chang
Colleague at StreetlightSan Francisco, California, United States
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Doan Khanh Vu Tran education
Master'S Degree, Data Science, 96.2%
Bachelor Of Computing, Information Systems, 4.56/5.0
Summer School, Business Administration And Management, General
High School Diploma, Mathematics
Frequently asked questions about Doan Khanh Vu Tran
Quick answers generated from the profile data available on this page.
What company does Doan Khanh Vu Tran work for?
Doan Khanh Vu Tran works for StreetLight.
What is Doan Khanh Vu Tran's role at StreetLight?
Doan Khanh Vu Tran is listed as Principal Data Scientist at StreetLight.
Where is Doan Khanh Vu Tran based?
Doan Khanh Vu Tran is based in Greater Vancouver Metropolitan Area, Canada while working with StreetLight.
What companies has Doan Khanh Vu Tran worked for?
Doan Khanh Vu Tran has worked for Streetlight, Tran Doan Gia Co. Ltd, Streetlight Data, Realtor.Com, and Citi.
Who are Doan Khanh Vu Tran's colleagues at StreetLight?
Doan Khanh Vu Tran's colleagues at StreetLight include Katherine Merifield, Shay Lehmann, Adham Kalila, Chris Brasier, and Ari Kaputkin.
How can I contact Doan Khanh Vu Tran?
You can use AeroLeads to view verified contact signals for Doan Khanh Vu Tran at StreetLight, including work email, phone, and LinkedIn data when available.
What schools did Doan Khanh Vu Tran attend?
Doan Khanh Vu Tran holds Master'S Degree, Data Science, 96.2% from The University Of British Columbia.
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