Hello, I’m Ali Fradi.
AI and data engineer

Bridging Data Science and Engineering: Innovative Solutions from Concept to Impact. Founder of Urban Pulse (UP).

Contact Ali
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Who am I?

Master’s graduate in Applied Mathematics with 5+ years of experience in statistical learning, optimization, and data-driven decision-making. Proficient in R, SQL, Python, and Power BI for data transformation and visualization. Experienced in end-to-end machine learning modeling in financial contexts and developing production-ready optimization models tailored to customer requirements. Owner and Co-founder of UP.

About Me

Portfolio

Assuring data quality and analysis for weather impact on HIV-positive people, Lab of Heidelberg University

Assuring data quality and analysis for weather impact on HIV-positive people, Lab of Heidelberg University

Investigated data and sources of low quality data. Taken actions have cured 80% of data and then augmented using GAN architectures to study weather causality on HIV patients. Causality analysis is also achieved using Bayesian ML and Distributed Lag Non-Linear Models (DLNM).

Cleaning Company - Full-Stack Django Web Application with Bilingual Admin Dashboard

Cleaning Company - Full-Stack Django Web Application with Bilingual Admin Dashboard

Developed a comprehensive cleaning service website using Django 5.2 with bilingual (English/French) admin dashboard, dynamic content management, and integrated OpenAI API chatbot with customizable templates to answer customer queries and increase reachability.
Features user authentication, testimonial management, gallery system, company logo management, and responsive design. Implemented custom admin panels with AJAX operations, media file handling, and multi-language support.
Deployed on Heroku with cloud storage integration, demonstrating full-stack development skills, database design, and modern web development practices.
Live Demo: Link to website

Optimizing Big Data analytics Jobs on AWS

Optimizing Big Data analytics Jobs on AWS

Developed a PySpark job optimized regarding joins, UDFs, broadcasting and bucketing to reshape data into metrics to analyze and deployed it using EMR AWS service Link to PySpark example of created jobs

Developed, maintained and tracked ETL pipelines for Urban Pulse data providers

Developed, maintained and tracked ETL pipelines for Urban Pulse data providers

Developed, scheduled ETL functions to collect open cities data from open APIs. Dimensions and fact tables are defined for easier analytics options and unique data structure for different sources. Tables are filled incremetally to minimize processing resources and then tracked with SCD tables for streak analysis. Similar minimal works are available under my Github repository.

Sales Report for IT sold products

Sales Report for IT sold products

Developed a comprehensive sales dashboard for IT products at Alten using Power BI, where I integrated and normalized raw sales data from multiple sources through Power Query. I created dynamic measures with DAX for real-time insights and designed interactive visualizations to highlight key metrics like net sales quantities and category-wise breakdowns. This project involved advanced data processing techniques and aimed to empower stakeholders to make informed decisions based on detailed data insights.

Automated ANOVA tool

Automated ANOVA tool

Developed a shiny application that automates ANOVA statistical insights and conclusions for a lab processing Olive oil in Tunisia Get Sample of data here

Launch Application
Sankey Graph RShiny app

Sankey Graph RShiny app

Feel free to generate Sankey graph with my modest tool, as indicated to visualize your flow of data as you wish! Get Sample of data here

Launch Application

Multi-agent performance scaling simulation for an ICU

Developed a multi-agent-based simulation to mimic ICU performance across various scenarios, based on assumptions and parameters, to support decisions on workforce rescaling and agile performance.

Multi-agent performance scaling simulation for an ICU

Publications

Multi-project Scheduling Problem with Limited Preemption and Ordinary Feeding Precedence Relations

This is a conference article of my work on MILP for client-tailored cleanrooms production planning published in Springer

Multi-project Scheduling Problem with Limited Preemption and Ordinary Feeding Precedence Relations
A Reproducibility Study of Double Q-learning

A Reproducibility Study of Double Q-learning

This works aimed to study double Q-learning on discrete and continuous state-space actions with different environments. Get the paper here !

Dynamic Programming and One Step Look Ahead rule applied to solve decision problem of jobs research

You can run simulations on salaries distributions and evaluate at which rate you start to consider a job offer to be an obvious opportunity. Read here !

Dynamic Programming and One Step Look Ahead rule applied to solve decision problem of jobs research
May 2024 -
Data Engineer
Sep 2022 - Apr 2024
Data Scientist
Oct 2018 - Aug 2022
Data Scientist
Mar 2018 - Oct 2018
Data Analyst

Experience


Data Science & Advanced Analytics:
-Machine Learning, Bayesian ML, Reinforcement Learning, Deep Learning(CNN, LSTM, Actor-Critic), Statistical Modeling, NLP (LangChain, RAG agents, Sentiment Analysis), Optimization (CPLEX, minizinc).
Data Engineering:
Scalable Data Pipelines (Spark, Kafka, Flink), Cloud Architecture (AWS S3, SageMaker, EC2), Database Management (SQL, Postgres), MLOps (Docker, CI/CD, zenML).
Full-Stack Development (as applicable):
Python (Django), R (RShiny), Data Visualization (Power BI, Dask).
Entrepreneurship & Leadership:
Product Vision, End-to-End Project Management, Business Model Development (Subscriber Sales Model), Strategic Planning

Linkedin Download My Resume

Education

2022-2024
Master of Applied Science (M.Sc.A)
2020-2021
Master of ML and applied statistics
2015-2018
Bachelor of Industrial Engineering
2013-2015
Pre-engineering intensive courses

Certified for

My last readings that I recommend for you

The content of this book is widely shared in youtube tutorials by the author, however I enjoyed the paper version alongside the video they were able to make direct massive impact on my consideration while building a dashboard.

Story telling with data

Story telling with data

Cole Nussbaumer Knaflic

I'm still reading it ...

System design interview

System design interview

Alex Xu

I still have chapters to go for deep understanding however I managed to implement live all contents of chapter 3 on my youtube channel for arabic speakers. This book is your ML bible !

Machine Learning and Pattern recognitions

Machine Learning and Pattern recognitions

Cristopher Bishops

I didn't enjoy much this book as I did for the same content of Dimitri's book...though I may consider it a good beginning to put hands on RL.

Reinforcement Learning

Reinforcement Learning

Sutton & Barto

Much effort to put in here ! not easy at all

Dynamic Programming and Optimal Control

Dynamic Programming and Optimal Control

Dimitri Bertsekas

at first, it's super hard but you get used to it. On my channel there are problems I solved while explaining essentails of this gem and Dimitri's DP as well !

Introduction to Stochastic Programming

Introduction to Stochastic Programming

Birge & Louveaux

Testimonials

Talented, technically solid and very driven Data Analytics Scientist. Ali joined my team in France to work on his graduation Internship. His inquisitive nature and strong ability to learn allowed him to quickly understand the basis principles of a new domain for him, agriculture, and effectively apply his data science knowledge to work on specific business problems. He demonstrated solid Project Management skill, delivering good-lasting value to the team and committing to timelines. His optimistic nature and always positive attitude made it enjoyable for the team to work with him. Ali will be a great asset to any team looking for a solid Data Analytics' Scientist.

Agustin Fonseca

Agustin Fonseca

Head of EMEA, Production Research at Bayer Crop Science

Ali is an excellent professional, I was able to assist him during his internship at Monsanto legacy/ Bayer. He is very proactive and committed to self-development, is always looking to be collaborative in projects and has a very expressive Statistical/ Programming background. It was a pleasure working with you Ali!

Kamylla Leandro

Kamylla Leandro

Data Scientist at Bayer Crop Science

Working with Ali at Axe finance was such a blessing. His tremendous spirit to learn and move forward with the projects was very inspiring. He is a valuable member for the team and I highly recommend him.

Cherine Lachhab

Cherine Lachhab

Data Project Manager Consultant at L'Oréal

My last implementation

Watch now

Predictive distribution estimation

Predictive distribution estimation

(Part 3.3.2) from PRML

Contact Ali

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Phone Number

+14384933907

Email

ali.fradi@polymtl.ca

Address

3500 Av. Ridgewood, Montreal, H3V1C2, QC, Canada

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