Personal details

Mahmoud T. - Remote data scientist

Mahmoud T.

Data Scientist
Based in: 🇹🇳 Tunisia
Timezone: Paris (UTC+2)

Summary

Titled with a Statistics and Data Analysis Engineering degree with a solid problem solving thanks to my mathematics-physics background.
Having + 8 years of experience, passionate about anything related to machine learning, loving dealing with structured data, exploring data-mining insights for our daily issues tabular data, finding and creating new features through detailed analysis and approaching projects with different perspective.

My portfolio : https://drive.google.com/file/d/10ZTKen56YiXRG43ntIq4F46IWWv9q2Ne/view?usp=share_link

My linkedin
https://www.linkedin.com/in/mahmoudtrigui/

Work Experience

Data Scientist
Kio Intelligence | Mar 2021 - Feb 2023
R

Building Data Science solutions for the VC industry.
All the projects and productions below were made with R Language

•Creating machines learning models to predict:
-Lifetime of a startup
-Likelihood of reaching Serie A
-Pre-valuation estimation

•Shiny App to visualize funding rounds data with gadget tools

•Clustering to find potential relationships between variables over time

•Outlier script to detect the potential misleading (multidimensional) information about a data-entry startup for both, numerical and categorical

•Creating pdf reports with CSS style using RMarkdown (using an endpoint to send the input via email automatically)

•Creating an algorithm to optimize the number of paths used to have a reasonable questions order

•Scraping some relative data about investors and startups

•Testing proportion variation in different round stages via hypothesis testing

•Investigating an investor data to have a complete distribution of all variables

•Creating a matching system to select the right investors for a particular entrepreneur based on different filters

•Some essais about paragraph summarizing

•Being part of an auto-filler script for forms online

Data Scientist
Tunisie Telecom | Jun 2016 - Mar 2020
SQL
R
SAS
Data Analysis
Data Science
 Clients Segmentation (Clustering & Classification) ::  Data preparation: creating of the ABT, ensuring data quality, data cleaning  Data Analysis : detailed exploratory analysis including correlation and different tests  Clustering : identifying clusters of customers who have the same behavior  Classification : assigning new customers to the clusters that have been created  Multi_Sim Users Detection ::  Identify from based hypothesis, the users who have two sim providers  Family Communities ::  Distinguish into each predefined community, those who lives in the same house  Contributing of building and assisting in a series of workshops along with experts from SAS, KPMG and Business & Decision, for different models including :  Churn, Cross-sell and Community Link Analysis (SAS)

Education

Higher School of Statistics and Data Analysis
Engineering・Engineering
Aug 2011 - Jun 2015

Personal Projects

Machine LearningIconOpenNewWindows
2020
SQL
R
SAS
the link is for my portfolio

Certifications & Awards

Data Analyst in R
DataQuest | Jul 2020