GenAI solutions
LLM applications, RAG, and agentic workflows designed to sit next to the systems the business already runs.
Associate Data Scientist · Jazz
Give every model an engineering spine.
From chat to production across the stack your teams already run — Python, SQL, Java, cloud, and generative AI. Built by a software engineer who still treats data science like a shipping problem.
Trusted by operators who ship
PythonLanguagesSQLDataJavaEngineeringSpring BootEngineeringAWSCloudGenerative AIAIStatistical modelingScienceSegmentationScienceMLOpsDeliveryVisualizationCommunicationLLMsAIRAGAIPythonLanguagesSQLDataJavaEngineeringSpring BootEngineeringAWSCloudGenerative AIAIStatistical modelingScienceSegmentationScienceMLOpsDeliveryVisualizationCommunicationLLMsAIRAGAI
Gold
Medal, RIU ’24
BSSE
Software Engineering
Jazz
Data & Strategy
AWS
Cloud Practitioner
nida · jazz data & strategy · live canvas
From warehouse to production AI.
The path her seat is built around — query, feature, model, generate, review, ship.
SQL→Features→Model→GenAI / RAG→Review→Production
The practice
All of this, with an engineering spine.
Nida sits on Jazz’s Data & Strategy science practice — among the largest in Pakistan telecom. The mandate below is the published work of that team: GenAI, affinity, churn, monetization, segmentation. She brings software engineering to every layer of it.
Product affinity
Hidden patterns in subscriber behavior, turned into affinities commercial teams can actually use.
Churn
Predict who is leaving, why, and which intervention is worth the cost — before the number shows up in a dashboard.
Data monetization
Signals that become products: the difference between a warehouse and a line of business.
Segmentation
Behavioral, usage, and lifetime cuts that keep campaigns honest and models specific.
Stakeholder translation
The same person who writes the SQL can explain the decision to a commercial room. That is the job.
Cloud delivery
AWS-shaped pipelines so a notebook is not the production plan.
Engineering spine
Java, Spring Boot, version control, and the habit of shipping — not just scoring.
In her words
I'm a Data Scientist with a foundation in software engineering and a growing specialization in cloud-based data solutions and generative AI. I work in Python, SQL, and Java (Spring Boot) — backend engineering discipline applied to data systems that have to hold up in production.
Nida Javed · Associate Data Scientist @ Jazz · Milwaukee, WI
Experience
Two seats. One operator.
Jazz first, then Jazz deeper. Public listings mention additional earlier organizations; the two roles below are the ones described in detail. Nothing else is invented here.
2025 — Present
Associate Data Scientist
Jazz
Data & Strategy · Teknosys
CurrentBuilds and ships data science inside Jazz’s Data & Strategy practice — a 15-person science team, one of the largest in Pakistan telecom — working with commercial stakeholders on production AI and subscriber intelligence.
- Works the full path: analysis and statistical modeling, through experimentation, validation, deployment, and monitoring.
- Contributes in a practice whose published mandate covers GenAI solutions, product affinity, churn, data monetization, and subscriber segmentation.
- Applies an engineering foundation (Python, SQL, Java / Spring Boot) so models are services, not slides.
- Grows a specialization in cloud-based data solutions and generative AI, including LLM and RAG-shaped applications.
2024 — 2025
Data and Strategy Associate
Jazz
Data & Strategy
Entered Jazz on the Data & Strategy associate path — the commercial-and-science rotation that sits beside the data science practice — before moving into the Associate Data Scientist seat.
- Learned the operator’s problems from the strategy side: subscriber activity, commercial questions, and what a model is for.
- Built the translation layer between technical work and non-technical partners that the scientist role still depends on.
- Earned the move from associate to Associate Data Scientist inside the same division.
Education
Gold Medalist, Class of 2024
Bachelor of Science in Software Engineering
Riphah International University, Islamabad · Fall 2020 — Spring 2024
Four years ago she was at a crossroads — a gap year to move from pre-medical studies into mathematics, then entry tests, then four years of projects and academics. She graduated as Gold Medalist with a BS in Software Engineering.
“When I stood on that stage and heard my name called out, it truly felt like all the hard work I put into this degree was worth it.”
Certification
AWS Certified Cloud Practitioner
Amazon Web Services — Foundational cloud fluency for the data systems she designs around.
Gold Medalist, RIU ’24
Highest academic distinction in the Bachelor of Science in Software Engineering, Riphah International University, Class of 2024.
Scientist, not only associate
Promoted inside Jazz Data & Strategy from Data and Strategy Associate to Associate Data Scientist.
Engineering-first data science
A software-engineering degree, Java / Spring Boot, and AWS certification under a data science title — rare and intentional.
Career pivot, executed
Pre-med to mathematics to a gold-medal software engineering degree, then a seat on Pakistan telecom’s flagship data science practice.
Pieces
A library of things she actually uses.
Not a keyword dump. Languages, cloud, and generative AI she has put on the record — plus the methods her Jazz seat is built around.
Py
Python
LanguagesPredictive modeling, analysis, production notebooks
SQ
SQL
DataWarehouses, segmentation, feature pulls
Ja
Java
EngineeringBackend discipline, typed services
Sp
Spring Boot
EngineeringService boundaries, APIs, production habits
AW
AWS
CloudCertified Cloud Practitioner, cloud-native data paths
Ge
Generative AI
AILLMs, RAG patterns, agentic applications
St
Statistical modeling
ScienceInference, mining, validation
Se
Segmentation
ScienceBehavioral, usage, lifetime cohorts
ML
MLOps
DeliveryExperiment, deploy, monitor
Vi
Visualization
Communicationmatplotlib and stakeholder-ready charts
LL
LLMs
AIOpen and closed models in applied workflows
RA
RAG
AIGrounded generation over enterprise data
Assistant
Ask anything about her work.
An on-site assistant trained on Nida’s public professional record. Experience, education, stack, achievements — personal life is filtered out.
Or write on LinkedIn →