Anass Zniti
Data Scientist | Full-Stack Developer | Financial Market Analyst
About Me
My name is Anass Zniti, and I’m a 26-year-old Data Scientist and Full-Stack Developer with a lifelong passion for technology. My journey began in Fes, Morocco, where my family owned a cyber café. From a young age, I became the go-to person for all things IT, from fixing computers to installing software and introducing new services that boosted the café's revenue. This early exposure to technology ignited a passion that shaped my entire life.
Known as the IT fanatic in my neighborhood, I quickly became the person friends, family, and even friends of friends would turn to for any technical issue. Whether it was troubleshooting, building systems, or staying ahead of the latest tech trends, I embraced every challenge with enthusiasm and curiosity.
Driven by this passion, I pursued a Bachelor’s and Master’s degree in Computer Science in Morocco, followed by a Master’s degree in Data Science from the University of Sunderland in the UK. My education, combined with countless self-driven projects, has equipped me with a strong foundation in programming, data analysis, AI, machine learning, and full-stack development. I’ve developed advanced financial analysis tools, AI-driven applications, and cloud-based solutions, demonstrating my ability to tackle complex, data-driven challenges.
I am eager to bring my diverse skill set and relentless passion for technology to a forward-thinking organization, where I can contribute to impactful projects and continue growing professionally.
Advanced Financial Market Analysis Tool
I am excited to showcase my latest project, an Advanced Financial Market Analysis Tool, which I developed using AWS and modern web technologies. This sophisticated web-based application is a testament to my full-stack development skills and deep understanding of financial data processing and analysis. The tool allows users to analyze financial markets with precision, using a variety of technical indicators and customizable settings for multi-timeframe analysis. It is designed with a responsive and interactive interface, optimized for both performance and user experience.
Explore the project in action here: Advanced Financial Market Analysis Tool
This project is a prime example of my ability to create robust, data-driven applications that deliver actionable insights—essential qualities in the fast-paced world of finance. I believe this aligns perfectly with the cutting-edge financial services. Additionally, I have also developed several trading bots as a hobby, further demonstrating my passion and expertise in financial markets.
Experience
2023/10 – present
United Kingdom
AI Solutions Developer
bookmein
- Developing an AI-driven platform that transforms client photos into personalized storybooks using machine learning algorithms.
- Integrating AI technologies with web applications for real-time story customization, enhancing user experience and driving innovation.
- Gaining valuable experience in project management, translating business requirements into technical solutions, and full-stack development.
2022/05 – 2023/09
United Kingdom
Student Digital Ambassador & IT Help Desk Support
University of Sunderland
- Served as the first point of contact at the IT help desk and gateway support, offering comprehensive assistance to students and staff.
- Collaborated with the immigration compliance team, managing student inquiries, forwarding calls, and providing the latest admission and immigration information.
- Demonstrated exception
2019/09 – 2022/01
United Kingdom
Data Analytics Lead
Moroccangoods
- Spearheaded data-driven initiatives to optimize pricing and inventory management, resulting in a 20% increase in profitability.
- Implemented website analytics and leveraged insights to enhance customer engagement and sales, showcasing the ability to translate data into actionable business strategies.
- Collaborated with the development team on full-stack development, database management, and integration of payment systems, contributing to the seamless operation of the ecommerce platform.
2019/12 – 2021/12
Fes, Morocco
Data Analyst and Systems Specialist
Golden Gym
- Oversaw the management and optimization of data collection, storage, and analysis using Microsoft Access, contributing to enhanced service offerings and gym profitability.
- Facilitated the integration and synchronization of client data across sign-up systems and biometric turnstiles, improving client experience and operational efficiency.
- Spearheaded the adoption of data-driven marketing strategies, leading to a 25% increase in customer retention by leveraging advanced data analytics for targeted customer insights.
- Managed IT infrastructure maintenance tasks, including system updates, Wi-Fi, and CCTV systems, ensuring the security and reliability of data and operational systems.
2019/07 – 2019/09
Fes, Morocco
Data Analyst Intern
Coca Cola Morocco (NABC)
- Streamlined stock management using SAP, reducing waste and improving efficiency.
- Conducted data analysis to support strategic business decisions.
Education
2022/01 – 2023/01
Sunderland,
United Kingdom
University of Sunderland | MSc Data Science
- Specialized in data analysis techniques, machine learning, and data visualization •Conducted advanced statistical analysis to solve complex problems and drive decisionmaking
- Gained proficiency in programming languages, including Python (Numpy/Pandas) and R
- Developed expertise in big data technologies
2020/09 – 2021/06
Fes, Morocco
ISGA| Master in Computer Science Engineering (1st year)
- Concentrated on Database Object Oriented, Optimization Tools, Java Advanced Programming (JEE), Mobile Development and Web Technology, Networks and Interconnections, Advanced Database, Security of Networks and Systems.
2017/10 – 2020/06
Fes, Morocco
ISGA| Bachelor of Computer Science Engineering
- Covered Relational Database, Operating Systems, Multimedia Database, Algorithms and Data Structures, Programming Techniques, Computing Systems and Networks.
Academic Projects
Data-Driven Emotion Detection (NLP)
Successfully developed a Natural Language Processing (NLP) application and implemented CNN, LSTM, and a hybrid model to detect emotions from tweets, achieving an impressive 90% accuracy.
Stock Market Price and Anomaly Detection
Designed a model to predict stock market trends and identify anomalies, utilizing time series analysis and machine learning.
Creating New Airline Routes Based on Foreign Nationalities in Cities
Utilized data analysis to propose new airline routes based on foreign nationalities in cities, employing clustering algorithms for customer segmentation.
eCommerce Mobile Application
Developed an eCommerce mobile app using Android Studio as part of the ISGA Master's program. The project involved the use of NoSQL for database management and advanced data networking for robust app functionality
IT Skills
Programming
Python, R, Java, C++, C#, C, HTML, JavaScript, Matlab
Data Analysis
Python (Pandas, NumPy), R , Google Analytics
Machine Learning / AI
TensorFlow, PyTorch, Neural Networks
Data Visualization
Power BI, Tableau, Python (Matplotlib, Seaborn), R (ggplot2)
Cloud Computing
AWS Cloud Architecture, AWS Services (EC2, S3, Lambda, etc.)
Database Management
SQL, MySQL, Oracle, NoSQL, ETL
Networking
Cisco, TCP/IP, Network Protocols
Security
Cryptography, Network Security
Languages
Arabic (native)
English (Fluent)
French (Highly proficient)
Anass Zniti
Data Scientist | Full-Stack Developer | Financial Market Analyst
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