Sang Man Lee

Sang Man Lee Email and Phone Number

Sang Man Lee's Location
Greater Sydney Area, Australia
Sang Man Lee's Contact Details

Sang Man Lee work email

Sang Man Lee personal email

n/a

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About Sang Man Lee

A Data Science professional with a number of years of experiences in applying DataScience methods/techniques such as Math & Statistics, Exploratory Data Analysis,classification and regression using Machine Learning and Deep Learning to solvevarious business problems and scenarios.I have a passion for solving complex data problems and am excited to apply my knowledge of machine learning and deep learning techniques in future roles.

Sang Man Lee's Current Company Details
Trading Administration Management Company

Trading Administration Management Company

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Data Scientist
Sang Man Lee Work Experience Details
  • Trading Administration Management Company
    Data Scientist
    Trading Administration Management Company Aug 2023 - Present
    Sydney
    - Created Power Queries to consolidate and manipulate data, enhancing reporting speed and efficiency by 70%.- Collaborated with stakeholders to answer business questions through data-driven analysis, completing all ad-hoc analyses promptly.- Continuously evaluated and improved data management processes and systems, enhancing efficiency, accuracy, and reliability of data.- Served as the point person for communicating with external companies regarding data-related issues and access, ensuring seamless data integration and resolution of issues.- Utilized SQL for data manipulation and analysis, contributing to data engineering efforts within the organization.- Quickly learned and applied new software and technologies to support data needs in a rapidly evolving environment.Key Achievements:-Significantly improved reporting efficiency and data manipulation capabilities through Power Query.-Strengthened stakeholder relationships by delivering timely and accurate data analyses.-Enhanced data management processes, ensuring data transparency and consistency across the -organization.-Demonstrated the ability to swiftly learn and implement new technologies to support organizational growth.
  • Traders With Edge Tech
    Data Scientist
    Traders With Edge Tech Feb 2021 - Present
    Sydney
    - Created models to understand risk and calculate the profitability of products, guiding strategic product decisions.- Led the implementation and optimization of an AI chatbot system, reducing support workload by 60% and boosting overall productivity.- Documented procedures for handling client payouts, cutting payout time by 50%.- Set up and managed Snowflake data warehouse, enhancing data storage and access efficiency.- Developed Python and SQL scripts for data engineering tasks involving Snowflake.- Regularly presented and updated reports for stakeholders, ensuring accurate information conveyance.- Semi Automated affiliate recruitment through web scraping tools and targeted emails.- Translated complex data into actionable insights using Power BI.- Adapted quickly to new software and technologies to support the evolving needs of a growing startup.Key Achievements:- Boosted productivity and reduced support workload by 60% through AI chatbot implementation.- Enhanced data management and reporting capabilities with Snowflake, Python, and SQL.- Improved stakeholder decision-making with effective data visualization and communication.- Exhibited rapid learning and application of new technologies to meet startup demands.
  • Symbiosis Capital
    Data Scientist
    Symbiosis Capital May 2020 - Aug 2023
    Sydney, New South Wales, Australia
    - Efficiently managed and prioritized assignments in a fast-paced startup environment, ensuring timely completion of tasks.- Conducted comprehensive ad-hoc analyses on diverse data sets, effectively communicating results to stakeholders for informed decision-making.- Delivered monthly risk analysis reports on newly implemented features, ensuring continuous risk monitoring and management.- Designed and established semi-automatic data pipelines, reducing data processing time by 50%, enabling quicker analysis and decision-making.- Developed trading algorithms using machine learning and trend indicators, contributing to strategic advancements.-Quickly learned and adapted to new software and skills to meet the dynamic needs of a growing startup.Key Achievements:- Improved decision-making processes through effective data analysis and communication.- Enhanced operational efficiency by automating data pipelines, reducing processing time by 50%.- Implemented machine learning algorithms for trading, driving significant strategic benefits.- Demonstrated the ability to rapidly learn and apply new technologies in a startup environment.
  • University Of Seoul
    Graduate Student Researcher
    University Of Seoul Feb 2017 - Feb 2019
    South Korea
    - Engaged with various stakeholders to understand business problems and to scope out the necessary analytical and research tasks.- Analysed big data through the implementation of BDT classifiers using C++.- Presented findings to different groups of internal and external audiences.Achievements- Developed and managed data pre"processing and mining tools to prepare clean data from upstream servers to be used by academic researchers.- Created Python tools to automate visualisation and batch submission processes resulting in a dramatic increase in pipeline efficiency.- Identified and addressed critical problems in data collection which was later found to be the cause of inconsistency in the output data observed by researchers at the university.
  • University Of Seoul
    Teaching Assistant
    University Of Seoul Mar 2017 - Dec 2018
    - Responsible for managing and maintaining the local Linux server connected to the student computers.- Support the computational lectures by assisting students on Python and C++.Key Achievements- Conducted the assessment of undergraduate students according to university guidelines and reported outcomes within a tight deadline.- Achieved a high plagiarism detection in programming assessments and helped to mitigate such activities by providing feedback on a regular basis.
  • Edu-Kingdom College
    Assistant Project Supervisor
    Edu-Kingdom College Mar 2015 - Nov 2016
    Sydney, Australia
    - Supervised a project between Edu Kingdom College and Tyndale Christian School which aimed to help underperforming international students.- Helped the project managers by providing students/project performance and regular reporting.Key Achievements- Increased attendance of students by over 20% by mentoring and maintaining good relationships with the students.

Sang Man Lee Education Details

Frequently Asked Questions about Sang Man Lee

What company does Sang Man Lee work for?

Sang Man Lee works for Trading Administration Management Company

What is Sang Man Lee's role at the current company?

Sang Man Lee's current role is Data Scientist.

What is Sang Man Lee's email address?

Sang Man Lee's email address is s.****@****ies.com

What is Sang Man Lee's direct phone number?

Sang Man Lee's direct phone number is (866) 631*****

What schools did Sang Man Lee attend?

Sang Man Lee attended University Of Seoul, University Of Technology Sydney, Institute Of Data.

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