Data Analyst & AI Engineer
Riyadh, KSA [email protected] +966 57 062 0489 LinkedIn Profile GitHub Profile Iqama: Transferable
PROFILE SUMMARY
Data & AI Engineer with 5 years across analytics and AI engineering, transforming complex data challenges
into intelligent, production-ready solutions. Expert in LLM fine-tuning, RAG systems, and computer vision
using OpenCV, with strong roots in data processing and visualization via PySpark and Power BI. Engineered
scalable Azure pipelines and automated workflows with n8n, with fluency in Python, SQL, and NLP — turning
raw data into real business impact.
TECHNICAL SKILLS
• Programming Languages: Python, SQL, PySpark
• AI & LLM Frameworks: LangChain, Hugging Face Transformers, Ollama, LlamaIndex
• Computer Vision: OpenCV, YOLO, SAM (Segment Anything Model)
• ML & Data Science Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn
• NLP & Generative AI: NLP Pipelines, LLM Fine-tuning, Retrieval-Augmented Generation (RAG),
Local LLMs
• Machine Learning: Supervised & Unsupervised Learning, Regression, Classification, Clustering,
Ensemble Methods
• Deep Learning: Neural Networks, CNNs, Transformers, Model Fine-tuning, Transfer Learning
• Data Processing: Data Wrangling, ETL/ELT Pipelines, Data Cleaning, Feature Engineering, Data
Quality Validation
• Algorithm Implementation: Classical ML Algorithms, Computer Vision Algorithms, NLP
Algorithms, Optimization Techniques
• Databases: Microsoft SQL Server, Azure SQL DB, SQLite
• Data Visualization: Python, Microsoft Power BI, Tableau
• Automation & Workflow Tools: n8n, Azure Data Factory (ADF)
• Cloud: Microsoft Azure (Azure Data Factory, Azure SQL DB, Azure Synapse Analytics, Azure Blob
Storage, Data Pipelines)
• IDE & Environments: Jupyter Notebook, VS Code, Anaconda, Google Colab
• Integration: REST APIs, Model Deployment, Pipeline Orchestration, Cross-system Workflow
Automation
• Performance Monitoring: Model Evaluation, KPI Tracking, Dashboard Reporting, A/B Testing
• Collaboration: Cross-functional Team Coordination, Stakeholder Communication, Technical
Documentation, Data Storytelling
PROFESSIONAL EXPERIENCE
Data & AI Engineer Invotechlab Islamabad, Pakistan Mar 2023 – Apr 2026
• Designed and deployed end-to-end AI pipelines integrating Large Language Models (LLMs) with
Retrieval-Augmented Generation (RAG) to power intelligent search and Q&A systems across
enterprise data sources.
• Fine-tuned and served Local LLMs for domain-specific use cases, reducing dependency on third-party
APIs while improving response accuracy and data privacy compliance.
• Built and maintained computer vision solutions using OpenCV for real-time image processing, object
detection, and visual analytics workflows.
• Developed and optimized NLP pipelines for text classification, entity recognition, and sentiment
analysis using ML frameworks.
• Engineered scalable data pipelines on Azure using Azure Data Factory (ADF) to orchestrate ETL
workflows across structured and unstructured data sources.
• Wrote SQL queries and managed relational databases to support data extraction, transformation, and reporting
processes.
• Designed interactive dashboards and reports in Microsoft Power BI, translating raw data into
actionable business insights for leadership and non-technical audiences.
• Automated complex multi-step business workflows using n8n — integrating LLM and RAG pipelines
to build autonomous AI agents that trigger actions, route data, and respond to real-time events across
tools and platforms.
• Performed exploratory data analysis and built Power BI dashboards to surface trends and KPIs from
AI pipeline outputs, supporting business stakeholders with clear, data-driven insights alongside core
engineering responsibilities.
Data Analyst Technophile Solution SMC Pvt Ltd Islamabad, Pakistan Jan 2021 – Feb 2023
• Analyzed large, complex datasets using SQL, Excel, and Python to identify trends, uncover root
causes, and deliver actionable insights that improved business decision-making and operational
efficiency.
• Built and maintained interactive dashboards in Power BI and Tableau, enabling real-time KPI
tracking and reducing manual reporting effort by ~30%.
• Collected, cleaned, and organized datasets from multiple sources using Excel and Python (Pandas),
preparing structured, analysis-ready data for reporting and visualization tasks.
• Built standard Power BI reports and dashboards with filters, slicers, and basic DAX measures to help
teams track business performance and monitor operational metrics on a recurring basis.
• Wrote SQL queries to extract and join data from relational databases, supporting data pulls for
weekly and monthly business reports requested by team leads and managers.
• Worked closely with business stakeholders to understand reporting needs, gathered requirements,
and translated them into clear data questions and visualization outputs delivered on schedule.
• Performed routine data cleaning tasks including handling missing values, removing duplicates,
standardizing formats, and validating data against source records to maintain accuracy in reports.
• Conducted basic trend analysis and summary reporting using Excel pivot tables and Python,
identifying patterns in sales, operations, and customer data to support team decision-making.
• Automated repetitive reporting tasks using Python scripts, reducing the time spent on manual data
formatting and enabling faster turnaround on weekly and monthly report deliverables.
EDUCATION
Master of Science in Project Management
Riphah International University, Islamabad, Pakistan 10/2021 – 02/2023
Bachelor of Science in Civil Engineering
Capital University of Science and Technology, Islamabad, Pakistan 08/2015 – 08/2019
CERTIFICATIONS
• Certified Cloud Applied Generative AI Engineer — PIAIC
• Data Storage in Microsoft Azure — Coursera
• Microsoft Azure for Data Engineering — Coursera
LANGUAGES
Urdu (Native) English (Proficient)