▪️ contributing to team of AI experts
▪️ working on projects that help boost productivity in other departments in the company
▪️ applying newest SOTA models and solutions like RAG to different use cases
▪️ Handling different administrative tasks like leading technical interviews and onboarding new hires
▪️ Mentoring hackathon participants

Senior Data Scientist

Fourth

▪️ main projects: Sales and products forecasting for restaurants and fast food chains in UK, US and Asia. Forecasts were used for cost optimization and ordering optimization, as well as inventory planning and capacity planning.
▪️ Reaserch in the domain of Time Series forecasting with the goal of optimizing the current solution.
▪️ Held different knowledge sharing sessions on topics like Time Series Clustering, Anomaly detection in Time Series, Using LLMs for text summarization, Use of serverless SQL on Synapse.
▪️ Held technical interviews

Data Scientist

▪️ Develope ETLs for the ML use cases using Pipelines in Azure Synapse, Pyspark and Azure Datalake
▪️ Fetch daily sales data for over 100 different clients, which is then processed and passed to the Forecasting solution.
▪️ Onboard new hires 
▪️ KT sessions

Junior Data Engineer 

A4Everyone

As a DS I had the opportunity to work on projects mainly in the retail industry. I participated in direct calls with our clients and developed skills such as:
- Working with both relational and NoSQL DBs - MySQL and MongoDB.
- Code refactoring while applying best coding practices.
- Developing PoCs when coming up with new ideas and testing them with our clients.
- Researching topics, acquiring knowledge and implementing it at work to contribute to the company.
- Applying segmentation analysis using different ML models.
- Creating insightful reports using Google Data Studio. Basic knowledge of Mongo Charts.
- Data Preparation techniques (ML).

TELUS

▪️ Developed crucial communication skills
▪️ Developed the skill of explaining complex topics in a simplified way
▪️ worked  on 3 different projects with different products and customers segment
▪️ Handled T2 escalations and assisted T1 agents in their wor

Customer Service Representative

Worked on my first real life Data Science project. My task was to build a black box model workflow for risk assessment of telecom clients. Skills acquired:
- working with big data
- business analysis and communication with clients
- data cleaning and feature engineering
- ML model development
- E2E testing

Junior Data Scientist - Contract

Lifelong learner and practitioner👩🏻‍💻💭 Here to build connections and share my learning journey in DS/AI and self development. I share regular blog posts about different topics in AI and DS, as well as regular updates about news in the field. My goal is to share knowledge and simplify complex topics and build a network of inspiring professionals.

Follow me on medium: https://medium.com/@mayadakhatib

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