I'm skilled in Problem Solving, Machine Learning, and Development. Primely a Computer Scientist and have an experience of more than 7 years in Software Development. I have been working in the IT industry for 7+ years providing Data Expertise as Data Analyst in Python, Software & Web Development in Ruby on Rails, Javascript with NeXtNest, Furthermore Software Test Automation.
◉ Working in the Customer Journey (CJ) team in the artist industry, enhancing user's journey.
◉ Led e-commerce transition initiatives, including vendor migration from Digital River to Verifone, and developed middleware solutions to streamline shop and purchase workflows.
◉ Spearheaded development of a full-stack CJ portal using Nest.js and Next.js, delivering a seamless and intuitive user experience.
◉ Providing Backend service to the middleware of multiple vendors like IDP or Verifications Vendor.
◉ Implemented secure SSO integrations for B2B customers, enhancing authentication efficiency and strengthening enterprise security.
◉ Joined on a senior full stack engineer and closely work with the Agile and Design Thinking Moderators. ◉ Worked as a team leader for their internal digital products which they use for coaching Agile Methodologies and Design Thinking Workshops. ◉ My job is to work as a team leader for their internal products and developed new one by using Ruby on Rails, React, GraphQL and Node Framework, and NoSQL Databases. ◉ Closely monitor the running applications and designs a pipelines for deployments.
◉ Joined as a Backend Developer for a product based on Ruby on Rails. ◉ Developed Backend and Frontend in Ruby, Javascript, ERB, and Haml. ◉ Worked in both SQL and NoSQL like PostgreSQL and MongoDB as well. ◉ Dedicated to live product, include its operational changes, and new implementation for CMS and Mobile Apps. ◉ Provided Support to chat feature implemented in Node.js and NoSQL DB and handling connection from Ruby to Node. ◉ Developed scratch project in Node.js Framework with Mongo DB named Hadron. ◉ Extensively worked on deployment and server shifting process in EngineYard and AWS. ◉ Worked as a Data Analyst for their Reporting Mechanism. ◉ Later on moved to germany and worked as a Remote Resource and provide support and live maintenance.
◉ Worked as an Intern in the field of Data Science.
◉ Worked as data cleaning and entry for a product which is about to develop.
◉ Product basically worked on optical character recognition to fetch data from doctors prescriptions and categorised them in different sections.
◉ I worked on a tesseract for optical character recognition and figured out how we can use tesseract to fetch data.
◉ Worked as a Quality Assurance Engineer for multiple projects. ◉ My job is to test their Application and websites that they are developing for their clients. ◉ I just go through all the test cases which I already built and make a new one as well. ◉ Furthermore, I run the apps through testing software named selenium. ◉ Major product is FoodNerd, whenever a new feature is implemented on this product I tested the completed app including this new feature and the previous one. ◉ It was a summer internship for three months and after that I came back to university to resume my bachelors degree.
◉ I studied my Masters in Data Analytics and Information Systems Management from Arden University, Berlin, Germany. ◉ Learned Data Analytics Tools including Tableau And PowerBI. ◉ Learned mechanism how Data Handling and Decision Making works (EDA). ◉ Performed Data Visualization and Interpretation on a specific set of Data.
◉ I finished my Bachelors in Computer Science from FAST NUCES, Islamabad, Pakistan. ◉ Final Year Project (Thesis): ⊛ Focused on Java Development. It is “Static Analysis of Code and Testing” which is meant for testing the code. ◉ In the Semester Projects: ⊛ For Data Mining, I trained a model for a "Car Price Prediction". ⊛ In Artificial Intelligence created a "Time Table Scheduling" in Python. ⊛ I develop an iOS application on swift language named "Karvaan". ⊛ In Android course, I develop an application named "Ghum Shuda". ⊛ Web Development project I created an "Internship Form" while using MERN Technology.
This course teach me all the fundamentals basics about modules, directives, components, data binding, routing, HTTP access. Moreover, examples showcase the features Angular offers and how to apply them correctly.
In this course, I start off with the basics of JavaScript and also learn Objects, Object-oriented programming, and Promises.
By completing this course, I find myself master in several languages/platforms/databases. This course gives me hands-on and practical experience on HTML, CSS, PHP, MySQL, MongoDB, Python, JavaScript, XML, JSON.
AWS course will teach me theoretically how to get started with AWS Machine Learning. Mainly topics include: Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS.
This course introduces the concepts of AI and ML. Here, l explore Python and they discuss machine learning types and tasks, and machine learning algorithms. This course introduces the machine learning tools available in Microsoft Azure and using the Azure Machine Learning Service l will create and use an Azure Machine Learning Worksace.
I learn the basics of Cloud computing: what it is, what it supports, and the way it is delivered. I delve into storage services, Cloud economics, ranges of controlled infrastructure, and Azure services. I also even discover extraordinary deployment models of Cloud computing, in addition to several website hosting.
In this complete Data Science course I learn basic knowledge of these things: Big Data and DS, Programming for DS, Visualisation, Classification, Clustering, Dimensionality Reduction, Regression, Natural Language Processing, Probability, Statistics
Proficient in Problem Solving, Machine Learning, and Development
With the emergence of the internet the world has started being called a global village, now as the world progresses so does the amount of information, these days everyone is online and because of that everyone is accessible. Now this can be seen as a huge achievement for mankind but with it are cautions, these days data is more valuable than oil as reported by economic central, our information is being used by many organisations to identify their target audience. It is used for micro targeting, getting quicker results and the most important one of them all is training artificially intelligent machines. This is all to create smarter platforms, easier use, better targeted advertisements and so on. Let's hope the world is better for the people and not like the dystopia described by Richard Morgan in Altered Carbon.
With the rise of artificial intelligence, the world is stepping into a new era—one where machines are not just tools, but collaborators. AI is no longer confined to labs or science fiction; it is now woven into the apps we use, the services we rely on, and even the way we communicate. This is a huge leap for humanity, offering efficiency, personalization, and innovation at unprecedented scales. But with great power comes great responsibility. AI systems rely on vast amounts of data, often personal, to learn and improve. As we step into this AI-driven era, it’s a chance for humanity to guide the technology, not be guided by it. Let’s hope this new world is shaped to empower people, enhance creativity, and build opportunities—rather than mimic the dystopias imagined in science fiction. The future is here, and it’s up to us to make it one we want to live in.