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

Snap Inc.

Account Analyst

KPMG in Qatar

Advisory Consultant

Bidfood Middle East

▪ Developed and implemented a Default Prediction Model to enhance Bidfood’s customer risk management and financial stability.
▪ Enhanced data-driven decision-making by gathering and transforming financial (transactional, invoice, and payment) and customer data using SQL, facilitating comprehensive financial analysis.
▪ Improved customer segmentation and targeting by integrating predictive model insights, enabling more tailored strategies for different customer groups and enhancing overall customer relationship management.

Data Analyst

L'Oréal

▪ Designed and built Customer Lifetime Value (CLV) model using machine learning techniques to predict and influence the customer’s lifetime value
▪ Strategic implementations derived from the CLV model insights, contributed to a revenue increase of 4.3%
▪ Developed a regression-based attribution model to identify/predict significant media outputs leading to conversion
▪ Advised a strategic reallocation of L’Oréal's marketing budget by identifying underperforming and overperforming channels, potentially increasing revenue contributions by optimizing investment in high-performing areas

Abniah s.a.r.l.

▪ Led land surveying works such as setting points for the sidewalk in the outdoor area and checking trench drain and mechanical pipe levels
▪ Validated completion of executed works compared to approved structural and architectural design
▪ Participated in site inspection and filled site daily report forms
▪ Optimized raw material procurement and utilization of stone cladding
▪ Validated take-off quantities specified by design drawings compared to available tiles’ quantities on site

Civil Engineering Intern

180 Degrees Consulting

▪ Designed a marketing strategy for a not-for-profit organization to scale up its operations, investigating
logistical and financial feasibility, as well as potential sponsors

Consultant

I am a Master of Management in Analytics graduate from McGill University and a Bachelor of Applied Science in Civil Engineering from the University of Toronto. My passion lies in transforming data into actionable insights and strategic decisions. I led two significant projects for L'Oréal: developing a Customer Lifetime Value (CLV) model that increased revenue by 4.3% and creating a regression-based attribution model to optimize budget allocation, significantly enhancing marketing spend efficiency.

In addition to my academic achievements, my professional background in data analysis and civil engineering has equipped me with a robust analytical toolkit. I have applied my skills in various contexts, from improving marketing strategies to overseeing construction projects, demonstrating a blend of technical proficiency and practical application.

I am fluent in English and Arabic, with a working knowledge of French, and am dedicated to leveraging my analytical expertise in dynamic environments. I seek opportunities that challenge me to use strategic data analysis for business growth and innovation.

Let's explore how we can drive success together. Contact me at tarekcheaito5@gmail.com



Microsoft Office: Data analysis | data validation | goal seek | advanced filtering | conditional formatting | Index and Match | Data modeling | R / Python Integration | PowerPoint | ppt | Pivot Tables | Power Point

SQL: OPTIMIZATION | DDL | DML | DCL | Data warehousing | ETL | Bi | NoSQL | Big Data | Cloud databases | MongoDB | MySQL | SQL Server | Oracle | PostgreSQL | SQLite | Good Coud SQL | Data modeling 

Python: Jupyter Notebook | Machine Learning | Natural Language Processing (NLP) | Computer vision | Data analysis | Data visualization | Data science | Automation | Web scraping | API development

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Shoeb Hosain

Tarek Cheaito

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