حمزة شابير

Partnering with CXOs and business leaders to define AI strategies and transformation roadmaps aligned with measurable business
outcomes.
Identifying and prioritizing high-impact AI use cases that deliver clear ROI and long-term scalability.
Designing and proposing AI solution architectures integrating machine learning, generative AI, and data analytics into enterprise
ecosystems.
Driving thought leadership by advising clients on responsible AI adoption, data readiness, and MLOps best practices.
Supporting the pre-sales process by developing AI proposals, demos, and proof-of-concepts tailored to client needs.
Building AI capabilities across clients and promoting AI as a business enabler that drives efficiency, innovation, and growth.
Combining strategy, technology, and business impact to deliver lasting transformation.

As a Data Scientist (Consultant) at Opus, I lead a team of developers in crafting a
Data Product tailored for People Analytics. This role highlights my dedication to
utilizing data insights for informed decision-making.
Harnessing the potential of People Analytics, I am engaged in developing a tool
that generates personalized analytics from data, exemplifying my commitment to
data-driven innovation.
Using Natural Language Processing tools and techniques, I process diverse data
types to enhance organizational insights and refine People Processes, contributing
to informed decision-making and continuous improvement
Research on adopting best ML practices including Data Version Control (DVC),
Feature Stores, MLOps using Azure DevOps & AzureML.

Introduced best practices and robust data architectures, elevating data quality
and scalability within the People Analytics team
Using data science life cycles standards such as CRISP-DM to organize & manage
projects.
Led data-driven initiatives, utilizing advanced analytics to extract actionable
insights from intricate workforce datasets .
Collaborated across departments, aligning data strategies with organizational
goals and facilitating informed talent decisions.
Designed and implemented a groundbreaking project utilizing Large Language
Models (LLMs) to create an interactive system that efficiently answered user
queries regarding policies and day-to-day employee inquiries. This innovative
solution significantly improved information accessibility and streamlined internal
communication processes.
Led the VEON Data Insights Enhancement initiative, collaborating with 8
global sister companies to optimize data collection, establish best practices,
and revamp the Insights portal, thereby elevating cross-company insights and
informed decision-making within the organization.

Mercurial Minds is one of Leading Digitization company in Pakistan. i joined this Company is 2019. i started working in the Department that was working on Chat bots . Chat bots that were based on Natural Language Processing to answer users queries and to increasing users engagement with the particular company.

● HBL HR Bot:
it is first Chat bot that I have designed that is Currently being used in Habib Bank Limited. HBL HR Bot Handles all the queries of 2.5 Million Employees of the HBL related to
HR Department.

I was also part of Data Science Department, due to Data Science Background and my interest in this Field. While working on this Department I worked on various Data Science Projects.i have mentioned these Project in Projects section.

But the Project which was Most Challenging was based on High Frequency Algorithmic Trading. In this project i was working as Quantitative Researcher for Radix Trading LLC. Which is Chicago based company.

● Quantitative Researcher
- As outsourced resource of Mercurial Minds, i Started this Project as the
Employee of Lucid Data Solutions which is USA based company who has
Partnership with Radix Trading LLC. Radix Trading is a research firm,
powered by technology and monetized through trading.
- Worked as Quantitative Researcher (Quant) to Capture Price movement
in High frequency Algorithmic trading through Alphas.
- Designed an Alpha in my Second Attempt that is currently being used for Trading atMercurial Minds is one of Leading Digitization company in Pakistan. i joined this Company is 2019. i started working in the Department that was working on Chat bots . Chat bots that were based on Natural Language Processing to answer users queries and to increasing users engagement with the particular company.
Radix Trading LL

● HBL HR Bot:
it is first Chat bot that I have designed that is Currently being used in Habib Bank Limited. HBL HR Bot Handles all the queries of 2.5 Million Employees of the HBL related to
HR Department.

I was also part of Data Science Department, due to Data Science Background and my interest in this Field. While working on this Department I worked on various Data Science Projects.i have mentioned these Project in Projects section.

But the Project which was Most Challenging was based on High Frequency Algorithmic Trading. In this project i was working as Quantitative Researcher for Radix Trading LLC. Which is Chicago based company.

● Quantitative Researcher
- As outsourced resource of Mercurial Minds, i Started this Project as the
Employee of Lucid Data Solutions which is USA based company who has
Partnership with Radix Trading LLC. Radix Trading is a research firm,
powered by technology and monetized through trading.
- Worked as Quantitative Researcher (Quant) to Capture Price movement
in High frequency Algorithmic trading through Alphas.
- Designed an Alpha in my Second Attempt that is currently being used for Trading at
Radix Trading LLC