Summary
Overview
Work History
Education
Skills
Accomplishments
Interests
Timeline
Work Preference
Work Availability
Software
BusinessDevelopmentManager

Hamza Aziz

Data Analyst
London,ENG

Summary

Dynamic Data Analyst with 5 years of experience, skilled in SQL, Python, Azure, and AWS, seeking to utilize these technologies in challenging projects and strategic initiatives for data Analysis. With a keen attention to detail, I aim to contribute to complex data-driven solutions and support marketing initiatives. With a rich background in AI-ML, for different industries including Education, Healthcare, Retail, and Finance, my goal is to leverage advanced data analysis and visualization techniques to drive actionable insights and inform strategic vision in a forward-thinking organization. I am eager to engage in comprehensive research and contribute to projects that align with corporate goals, particularly in Financials. Hands-on experience with C++, C#, Python, and cloud computing projects. Developed practical skills in web and mobile application development. Participated in technical competitions, fostering teamwork and problem-solving abilities. Applied theoretical knowledge to real-world computing challenges through collaborative projects.

Overview

6
6
years of professional experience

Work History

transition, London Metropolitan University
London
09.2023 - 09.2023
  • Currently on a dedicated career break to pursue further education and enhance my skill set
  • Passionate about continuous learning and personal development, I am actively engaged in Masters in Data Analytics to expand my knowledge and expertise in Data Manipulation
  • Committed to honing new skills and staying abreast of industry trends, I am dedicated to leveraging this break to grow professionally and contribute meaningfully to future opportunities
  • Excited about developing a strategic vision for data-driven insights, I look forward to applying my enhanced research and management skills in upcoming endeavors, particularly in marketing and comprehensive project contributions.

Senior Data Analyst

REGVM ENTERPRISES
Lahore
03.2019 - 08.2023
  • Developed and optimized neural network models using TensorFlow and Keras, improving data modeling accuracy by, leading to more precise analytics in financial sector projects
  • Designed and fine-tuned neural networks using TensorFlow and Keras, enhancing predictive model accuracy for financial applications
  • Conducted advanced statistical analysis and implemented predictive analytics to inform private equity investment decisions
  • Automated data collection and validation processes using Python and R, ensuring 99% data accuracy across financial datasets
  • Developed interactive dashboards and visualizations using Power BI and Tableau, delivering actionable insights to stakeholders
  • Led cross-functional collaboration to align data strategies with organizational goals, optimizing decision-making in banking and private equity
  • Integrated machine learning models to improve forecasting, achieving a 20% increase in operational efficiency
  • Ensured compliance with data governance and security protocols while handling sensitive financial data.

Data Analysis Intern

ONISM SOLUTIONS LLC
Lahore
09.2018 - 02.2019
  • Collaborated with senior data scientists to comprehend and execute data preprocessing techniques, enhancing understanding of data-driven strategies in the financial sector
  • Assisted in preprocessing and cleaning datasets, improving data quality for predictive modeling
  • Applied Python to conduct exploratory data analysis (EDA) for risk assessments and development strategies
  • Developed basic visualizations using Matplotlib and Seaborn etc
  • To support interactive reporting and presentations
  • Supported senior data analysts in creating models for banking and private equity analysis, enhancing team output by 10%
  • Attended workshops on statistical methods and machine learning, gaining foundational expertise in regression and classification techniques.

Developer Intern

Sigma Square
Lahore
01.2018 - 08.2018
  • Assisted in developing Python-based applications, contributing to the successful completion of key projects.Gained hands-on experience in software development and data analysis
  • Collaborated with team members to design efficient algorithms for application functionality
  • Assisted in debugging and testing software, improving overall system reliability by 15%.

BOSSEXPORTS.CO.ZA
01.2022 - 12.2023
  • MACHINE LEARNING AND ARTIFICAL INTELLIGENCE
  • Evolve Machine learners, AIWMS is a warehouse management system to revolutionize warehouse operations at Boss Exports (bossexports.co.za), implementing an avant-garde, AI-infused automated management system designed to significantly enhance inventory accuracy and decision making across the company's expansive African network
  • This project offers a transformative solution to streamline logistics and improve operational efficiency, aligning with industry best practices in sectors like
  • Banking and Private Equity
  • Directed a cross-functional team to execute the project within a $1.5M budget, aligning with a strategic 18-month roadmap
  • This required a clear strategic vision to ensure all milestones were met effectively, demonstrating skills applicable to Private Equity-backed operational improvements
  • Integrated machine learning models to forecast inventory needs, optimizing stock levels with predictive analytics, achieving a 50% gain in inventory management efficiency
  • This success mirrors data-driven decision-making processes often utilized in Banking and Private Equity sectors
  • Use of computer vision for real-time inventory tracking, facilitating a 70% reduction in manual workload and significantly minimizing human error
  • Developed and implemented a DSS enhanced by AI algorithms, leading to data-driven decision-making and heightened operational intelligence
  • Employed modern project management and collaboration tools such as Azure DevOps, VISIO, Mondays.com to streamline workflow and enhance team coordination
  • Developed the solution on a robust technology stack featuring django, TensorFlow, with data storage and management facilitated through Data Lakes on Azure, ensuring scalability and efficiency
  • Delivered a system that contributed to an 80% decrease in order processing inaccuracies, with a forward-looking ROI projected within three years, underpinning scalability
  • Guaranteed robust system performance with 99.9% uptime, using AI-driven predictive maintenance
  • Orchestrated comprehensive staff training sessions on the AI system functionalities, ensuring a 95% competency rate across operational teams.

HEALTHARMOUR.COM Link
01.2019 - 12.2023
  • I played a pivotal role in the development of Health Armour, an advanced health and fitness platform designed to revolutionize personal health management
  • This project offers innovative solutions to enhance user engagement and health outcomes, showcasing strategic vision applicable to industries such as Banking and Private Equity
  • This solution leverages AI-driven nutritional guidance and integrates with smart devices for tailored health recommendations, showcasing a strategic vision for personalized healthcare
  • Spearheaded the development of a multifaceted AI-based nutritionist service, utilizing advanced neural networks, including Convolutional Neural Networks (CNNs) for image recognition of food items and Recurrent Neural Networks (RNNs) for analyzing dietary patterns and trends, achieving over 90% accuracy
  • This required exceptional attention to detail in model training and validation
  • Championed the integration of the platform with a variety of smart devices, ensuring seamless data synchronization and enabling the system to deliver personalized health insights and recommendations
  • Utilized a diverse technology stack, employing multiple programming languages to accommodate the ubiquitous nature of the project and ensure cross-platform compatibility and scalability
  • Coordinated with a cross-functional team to implement features that allow the platform to track fitness activities, monitor health metrics, and offer AI-driven nutritional advice based on individual user data
  • Currently overseeing the trial phase of the platform's integration in major hospitals, aiming to assist doctors in making faster, data-informed decisions regarding patient health and dietary needs
  • Conducted trials in hospitals, aiming for adoption by 5 major institutions within two years
  • Prioritized system reliability (99.9% uptime) and stringent data security measures
  • Targeted 100,000 users in the first year, with a daily engagement goal of 70%
  • DATA ANALYSIS FOR REPORTING, DATA ANALYSIS Jan '18 — Dec '23
  • Achieved 98% accuracy in financial data reporting for Clients
  • Mostly marketing related Analysis Maintained 100% on-schedule delivery of financial reports
  • Developed customized dashboards tailored to Clients specific needs
  • Implemented dynamic visualizations for enhanced data interpretation
  • Received a stellar client satisfaction rating of 4.8/5
  • Identified and implemented cost-saving opportunities based on data analysis
  • Effectively communicated complex financial insights, fostering collaboration
  • Ensured strict adherence to regulatory requirements in financial reporting
  • Spearheaded the integration of automated reporting tools, reducing manual workload by 30%.

Education

Masters - Data Analytics

LONDON METROPOLITAN UNIVERSITY
Dec '24

Bachelor's - Computer Science

BAHRIA UNIVERSITY
Dec '19

Bachelor's degree - Computer Science

Skills

  • Programming Languages Python , SQL, R
  • Data Storage and processing Snowflake, AWS S3, AWS Redshift, Azure Data Lake, Microsoft SQL Server
  • ETL and Data Integration Tools Airflow, Fivetran, Azure Data Factory
  • Big Data Processing Frameworks Apache Spark, Hadoop
  • Data Streaming & Processing Kafka
  • Machine Learning and AI Tensorflow, Keras
  • APIs and Web Services REST, SOAP, AWS API Gateway
  • Cloud Platforms AWS, Azure
  • Data Analysis Tools Python, R, SQL, Power BI, Tableau, Google Analytics
  • Data Visualization Tableau, Power BI, Google Studio, Adobe XD, Balsamiq
  • Project Management Agile, Scrum, Waterfall, Asana, Trello, Jira
  • Documentation Markdown, RFP, BRD, SRS, WBS, UAT
  • Data Modeling and Transformation Data Build Tool (dbt)

Accomplishments

  • AN ANOMALY BASED INTRUSION DETECTION SYSTEM WHICH ANALYZE THE DATASET AND DETECT
  • INTRUSIONS
  • Hamza Aziz And Asghar Ali Shah
  • Available at: http://bit.ly/4aITCFV

Interests

Camberwell Green, London, Greater London, United Kingdom Open to Remote Open to Relocate Open to Hybrid LinkedIn

Timeline

transition, London Metropolitan University
09.2023 - 09.2023

BOSSEXPORTS.CO.ZA
01.2022 - 12.2023

Senior Data Analyst

REGVM ENTERPRISES
03.2019 - 08.2023

HEALTHARMOUR.COM Link
01.2019 - 12.2023

Data Analysis Intern

ONISM SOLUTIONS LLC
09.2018 - 02.2019

Developer Intern

Sigma Square
01.2018 - 08.2018

Masters - Data Analytics

LONDON METROPOLITAN UNIVERSITY

Bachelor's - Computer Science

BAHRIA UNIVERSITY

Bachelor's degree - Computer Science

Work Preference

Work Type

Full TimeContract WorkInternshipPart TimeGig Work

Work Location

On-SiteRemoteHybrid

Important To Me

Career advancementWork-life balanceCompany CultureFlexible work hours

Work Availability

monday
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