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Data Science with 1+ years in Analytics, Cloud & Machine Learning.
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Assessing your cultural and operational fit
As a data-driven professional with 1.5 years of experience in brand management and marketplace analytics, I excel at identifying growth opportunities through market trends and customer behavior analysis. My expertise spans building KPI dashboards, conducting performance analysis for PPC campaigns, and optimizing pricing strategies. I possess strong skills in ETL pipeline development, cloud data warehousing, and machine learning model deployment, leveraging platforms like Apache Airflow, Google BigQuery, and Azure to drive strategic decisions and improve operational efficiency.
Institute of Business Administration (IBA), Karachi
MS · Data Science
August 1, 2024 – June 30, 2026
NED University, Karachi
BE · Biomedical Engineering
August 1, 2017 – June 30, 2021
BBG - Berlin Brands Group
Brand Manager
November 1, 2022 – September 1, 2023
India
Axle & Olio Solutions
Marketplace Associate (Data & Analytics)
June 1, 2022 – November 1, 2022
India
Supply Chain Analytics Pipeline
September 1, 2023 – June 1, 2026
Architected and deployed a scalable ETL pipeline using Apache Airflow to ingest, clean, transform, and load data from 10+ CSV datasets (customers, inventory, transactions) into Google BigQuery. Built a cloud data warehouse using dimensional modeling and star schema (fact and dimension tables), enabling downstream BI reporting on product demand, branch performance, and supply latency.
Event Registration Management System
September 1, 2023 – June 1, 2026
Built an end-to-end registration workflow enabling users to browse events, register, and track event availability in real time with business rules for seat management & auto closure when capacity reached. Developed Power Automate workflows to process registrations, update seat availability, manage registration status & send automated notifications to participants and event organizers Integrated Outlook email services for automated registration confirmations with deep linking functionality, allowing users to navigate directly to specific event pages from automated emails.
Retrieval-Augmented Generation (RAG) Pipeline - Medical Question Answering
September 1, 2023 – June 1, 2026
Engineered an end-to-end RAG system using hybrid retrieval (FAISS vector search + BM25 with Reciprocal Rank Fusion) to improve answer grounding and reduce LLM hallucinations. Benchmarked multiple LLM and chunking configurations; achieved optimal performance with Qwen-1.5 (1.8B) + 400-token chunks, measuring Faithfulness, Relevance, and End-to-End Latency. Integrated BART-based summarization and context reordering to optimize token usage and improve response quality under constrained inference budgets.
Restaurant Database Management System
September 1, 2023 – June 1, 2026
Designed a relational database schema for a mid-sized restaurant chain covering inventory, orders, customers, suppliers, and financial transactions with full referential integrity. Built PL/SQL stored procedures, triggers, and automated logging to enforce business rules, enhance auditability, and support data-driven operations and inventory management.
DevPulse HealthOps - Azure Cloud Monitoring & Analytics Platform
September 1, 2023 – June 1, 2026
Designed and deployed an end-to-end cloud observability platform for a simulated healthcare IT environment on Microsoft Azure. The system proactively monitors EHR server infrastructure and patient-facing APIs, detects anomalies using machine learning, and automates incident response reducing theoretical detection time from 45 minutes to under 60 seconds. Trained an Isolation Forest model to detect statistically anomalous CPU behaviour without labelled data for example flagging 45% CPU at 3 AM as anomalous despite being below alert thresholds Implemented a GitHub Actions CI/CD pipeline for the Flask EHR application on Azure App Service to POST structured deployment events to a webhook endpoint on every pipeline run for pipeline health tracking.
Cultural Fit Analysis
The candidate's project diversity, ranging from supply chain analytics to medical question answering and cloud observability, indicates a broad interest and adaptability. The target role is 'Data Science', which aligns well with the candidate's MS in Data Science and the technical depth of their projects. However, the professional experience is primarily in Brand Management and Marketplace Associate roles, which, while involving data analysis, are not direct data science positions. This might suggest a career transition, and the lack of direct data science work experience could impact cultural fit for a purely technical data science team without further validation.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Stakeholder Communication, Requirements Gathering, Cross-functional Collaboration, and Data Storytelling. These are valuable for a senior data science role, indicating an ability to translate technical insights into business value and work effectively within a team. The project descriptions show an operational mindset, focusing on deployment, monitoring, and real-time systems.