Professor | Speaker & Practice Leader | Data Analytics Consultant | Passionate about transforming organizations through data-driven solutions

I am a university Professor, Speaker, and Data Science & Technology Consultant with over 15 years of experience in data analytics, business intelligence, and technology solutions development. I have a true passion for helping businesses and organizations augment their analytic and technical acumen to allow them to enhance their decision-making process through data-driven insights. 

My current focus is in education & talent development, and I am proud to be a university professor at one of the top global Universities. I believe that education is the key to success and it is my mission to help as many organizations as possible reach their full potential through Advanced Analytics, Machine Learning and technical Automation.

Data is the lifeblood of any business, coursing through the veins of all organizations. When leveraged effectively, it helps you optimize processes, predict customer demand, mitigate various financial risks, and make a myriad of better decisions. And yet I noticed that too often, businesses don't take full advantage of their data. They let it accumulate in silos, or don’t realize what answers to critical pain points it may uncover.

That's where data-driven solutions come in. I strongly believe that by harnessing the power of data, you can transform your business in a number of ways:
- Improve your overall customer/employee experience: Use data to understand what your internal & external stakeholders want and need, to give them a better experience overall.
- Drive growth: Use data to identify new opportunities for growth and expansion.
- Make optimal decisions: Use data to make informed decisions about everything from product development to talent retention strategy.
- Save & reutilize resources: Use analytics to optimize your operations and cut costs where possible.

I am also a big believer in a collaborative approach to problem solving.  Organizations should leverage the collective knowledge of Subject Matter Experts, Technologists and Quantitative Approaches to yield the best results (from inside and outside). 

I am always looking to learn new things and I am always open to new ideas, sharing best practices and being a firm believer in the power of analysis through data and its ability to transform organizations for the better.

If you are looking for someone who can help you turn data into insights and make better decisions for your business or organization, or if you just want to share some new ideas, please feel free to contact me. I would be more than happy to chat and see how we can collaborate.

Shoeb Hosain

杉数科技（北京）有限公司

I lead a team responsible for the operation and commercialization of Cardinal Optimizer (COPT). Again, below is the TLDR version:

🧠 TRY OUR SOLVER TODAY
Get a trial license at www.shanshu.ai/copt
We are always here to support at coptsupport@shanshu.ai

❤️ WE ARE HIRING
Check out https://shanshu.ai/recruit or shoot me an email at zhangtiancheng@shanshu.ai
If you are interested in joining a young and talented team, drop me a line :D

🌏 Lead a dynamic team covering general consulting and product operations team of COPT including presale consulting, tech support, content development, competitor analysis, marketing strategy, technical account management, domestic and overseas business development and etc.
🤝 Responsible for the academia liaison with research institutes and societies such as INFORMS, IFORS and ORSC on COPT promotion as and academia-industry collaborated research projects.

Director

I make sure our talented developers can fully focus on solver development. Below is the TLDR version:

🧠 TRY OUR SOLVER TODAY
www.shanshu.ai/copt
We are always here to support at coptsupport@shanshu.ai

❤️ WE ARE HIRING
Check out https://shanshu.ai/recruit or shoot me an email at zhangtiancheng@shanshu.ai
If you are interested in joining a young and talented team, drop me a line :D

🌏 Lead the general consulting and product operations team of COPT including presale consulting, tech support, content development, competitor analysis, marketing strategy, technical account management, domestic and overseas business development and etc.
🤝 Responsible for the academia liaison with research institutes and societies such as INFORMS, IFORS and ORSC on COPT promotion as and academia-industry collaborated research projects.

Optimization Consulting Lead - COPT

Switching roles between tech lead for project delivery and optimization consulting and management.

🏆 Top Performer "Ambassador of Solver Technology", 2023

🌏 Lead the general product operations of COPT including presale consulting, tech support, content development, marketing, domestic and overseas business development and etc.
🤝 Responsible for the academia liaison with research institutes and societies such as INFORMS, IFORS and ORSC on COPT promotion as and academia-industry collaborated research projects.

Solution Architect - COPT

🏆 Rookie of Year 2022 - 年度最佳新人奖

求解器与非标准项目业务线
BU - Solver and Infrastructure

🧑‍💻 Having fun developing novel algorithms to tackle large-scale real-life OR/OM problems.
🚇 Lead the algorithm development for MIP-based rail timetabling and crew scheduling solutions for the most complicated urban subway lines in Beijing, recognized by the following awards and prices:
    > 中国信通院交通领域高质量数字化转型案例, 2023
    > 上海市工业互联网协会工业软件创新案例集, 2023
    > 北京市朝阳区人工智能示范应用场景和示范解决方案项目, 2022
⛴ Tech Lead for an integrated trade-and-logistic optimization project for maritime LNG supply chain coordination
    > Tech Report presented by clients at the CSAMSE2023 conference
✈️ Lead the analytics part for an intelligent hub assignment solution for the soon-to-be largest cargo airport in Asia
🚌 Co-develop a multi-route fleet optimization model with mixed fleet type for the largest bus operator in Beijing
👩🏻‍🏫 Co-lead the content development of  first-of-its-kind data science and operations research online teaching platform CORIDM(https://coridm.d2d.ai)
🧠 Support the technical parts of various pre-sale stage projects in energy, logistics, smart grid, cloud computing and etc.
🏫 Responsible for the academia liaison with national research institutes and societies such as ORSC on various academia-industry collaborated research projects.

💚 Serve on the Programming Board for the company's ESG initiatives in 2022.

Algorithm Developer - Transportation & Infrastructure

Chinese Academy of Sciences

Part-time Research Assistant at the Institute of Geology and Geophysics, CAS (中科院地质与地球物理研究所).
Developing a predict-then-optimize framework using tools in ML and OR to optimize the process of carbon capture, utilization, and sequestration (CCUS), particularly the geo-sequestration of supercritical CO2. PI: Dr Bowen Zheng.

Research Assistant

Operations Research Society of China

中国运筹学会防疫咨询项目核酸检测排序优化课题

Associate Research Fellow

Laps

Explored and applied data-driven analytics in various use cases including but not limit to data management, demand prediction, customer segmentation, promotions, shipping policy in a circular economy two-sided multi-channel E-commerce supervised by Prof Maxime Cohen (McGill) and Prof Alexandre Jacquillat (MIT).

Data Scientist Intern

Centre universitaire de santé McGill | McGill University Health Centre

Data cleaning, processing and algorithm development on Kidney Exchange Matching, supervised by Prof Ruth Sapir-Pichhadze at the Centre for Outcomes Research and Evaluation (CORE) at the Research Institute of McGill University Health Centre (RI-MUHC) and Prof Yichuan Ding at the Desautels Faculty of Management.

McGill University

MGSC662 - Decision Analytics (Prof. Javad Nasiry)
A core course in the Master of Management in Analytics Program at McGill
• Develop teaching material for future MMA cohorts. Write a case study (under review at INFORMS Transactions on Education) on application of graph theory and mixed integer programming (MIP) on kidney paired donation (KPD) optimization.
• Review state-of-the-art algorithms on Cardinality Constrained Multi-cycle Problem (CCMcP), which are implemented using Python and Gurobi in the solution manual of the KPD case study.

CMS2527 - Business Intelligence and Analytics (Dr. Philip Troy)
A core course in the Graduate Diploma in Supply Chain Management Program at McGill (93 students)
• Grade assignments on prescriptive analytics under partial uncertainty, decision making under uncertainty, non-linear optimization and database management using SQL.

Teaching Assistant

Rogers Communications

Analytics consulting partnership between Rogers Communications and McGill University.
• Build an end-to-end customer segmentation model using cohort analysis and clustering (Mini-Batch KMeans) to identify Overpaying/Underpaying customers, to provide managerial insights for marketing and pricing decision making.

Project Manager and Data Scientist

Carleton University

Used bijections between m-compositions over finite groups to extend an easier result on finite abelian groups to any finite group (including nonabelian groups). Results published in Journal of Combinatorial Mathematics and Combinatorial Computing (JCMCC, 115(2020) 287--290).

Used De Bruijn Graph and transfer matrix method, and extremal eigenvalues and associated eigenvectors of real symmetric banded Toeplitz matrics to find asymptotic behaviours of the enumeration of p-smooth m-words and m-compositions over Z_n, under supervision of Prof. Jason Gao.

Implemented the state-of-the-art approximation on the extremal eigenvalues and associated eigenvectors in Python using Sympy.
Actively review papers submissions for peer-reviewed journals.

Graduate Research Assistant

MATH3800 - Mathematical Modelling and Computational Methods (2019F & 2020W)
• Lead weekly MATLAB labs on Monte Carlo simulations and numerical analysis.
• Hold weekly tutorials, office hours, prepare and grade assignments, quizzes and tests.

MATH1800 - MATH1800 Introduction to Mathematical Reasoning (2019F)
• Hold weekly tutorials, office hours, prepare and grade assignments, quizzes and tests.

I recently graduated from the Master of Management in Analytics (MMA) at McGill University after completing a MSc in Mathematics with specialization in combinatorial enumeration. I've also been studying towards the Italian Wine Scholar (IWS) and French Wine Scholar (FWS) certifications in between my two masters. I have thus obtained a strong background in research, mathematical modelling, data analytics and wine tasting. 

I'm interested in the interplay of optimization and machine learning, with applications in operation managements and data driven decision making, and any math problem with a combinatorial nature. I spend a fair share of my spare time in cooking, traveling and painting appreciation, and a tiny bit in theoretically proving the God's number is 20 (minimum moves to solve a Rubik's cube).

Technical Competencies
 - Data Analytics: Python, Julia, R, Apache Spark
 - Modelling and Scientific Computing: MATLAB
 - Databases: Neo4j, MangoDB, MySQL, PostgreSQL
 - Optimization Solvers and Software: COPT, Gurobi, OR-Tools, Pulp, MOSEK, JuMPeR
 - Others: LaTeX, MiniZinc

Hobbies: Painting Appreciation, Photography, Reading Research Papers
Erdős Number: 3

For job opportunities or if you want to talk anything data science, please feel free to reach out to me on LinkedIn via email at tiancheng.zhang@mail.mcgill.ca.

taplio

The Battle

Shoeb Hosain

Tiancheng Zhang, IWS

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