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Muhammad Khubaib Akram

Muhammad Khubaib Akram

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Course

Introduction to Python

Quantitative chef, mixing variables and algorithms to create delectable insights.

My Work

Take a look at my latest work.

course

Data Manipulation with pandas

course

Introduction to Python

course

Intermediate Python

course

Data Manipulation with pandas

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Data Manipulation with pandas
Supervised Learning with scikit-learn

My Work Experience

Where I've interned and worked during my career.

Rithum | Jan 2024 - Aug 2024

Engineering Intern

● Collaborated with the Cadeera AI team at Rithum to implement an automated catalog field mapping system for e-commerce supplier & channels, as part of my dissertation project ○ The project evaluated six Sentence Transformers combined with FAISS for similarity search, and machine learning models like XGBoost and Random Forest, improving data mapping accuracy, reducing product listing errors, and streamlining workflows across large-scale e-commerce systems ● Chatbot POC Development: Developed a Proof of Concept (POC) for a RAG-based chatbot, integrating it with Salesforce using AWS Q Business, and exploring alternative solutions with Amazon Bedrock and LlamaIndex
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Systems Limited | Aug 2021 - Aug 2023

Senior Consultant Business Analysis

● Telecommunications Project: Worked as a Solution Architect, designing technical solutions according to the requirements of the telecommunications digital team, enhancing customer experience and aligning with the business goals ● Led the development of multiple Content Management Systems (CMS) for a global event agency, gathering requirements and documenting SRS, BRS, user stories, and acceptance criteria to deliver a system supporting live streaming, audience interaction, and social media integration ● Stakeholder management: Acted as a liaison between internal and external stakeholders, converting business requirements into actionable technical specifications (SRS, BRS, user stories, and acceptance criteria). Oversaw UAT and provided post-launch support. ● Successfully led parallel projects, ensuring alignment with Agile methodologies and delivering on time

S&P Global | Jun 2019 - Feb 2021

Business Analyst

● Participated in the scoping of proposed improvements, and works with Content Managers, Product Managers, or other stakeholders to turn business requirements into actionable developer specifications ● Legacy System Migration: Facilitated the migration of legacy tool Capital-IQ to the S&P Global Market Intelligence Screener, optimizing system performance through improved SQL queries and stored procedures. ● Guided Scrum processes, facilitated requirements gathering, and supported Agile development, leading to successful end-to-end product deliveries. ● Responsible for managing and verifying large datasets, ensuring query accuracy and the delivery of insightful reports to stakeholders.

My Education

Take a look at my formal education

Master of Science in Aritificial Intelligence and Machine LearningUniversity of Limerick | 2024
Bachelor of Science - BS, Computer ScienceNational University of Computer and Emerging Sciences | 2018

About Me

Muhammad Khubaib Akram

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