Data Scientist

Zain R Hamid

About Me

z@zainrhamid.com

Extensive background spanning five years in the industry. Armed with an M.S. in Data Sciences, this self-motivated individual showcases a track record of honed expertise in development, data science and management.

Work Experience

Dec 2023 - Present

Research & Development Manager

CapiPlan FZ LLC - Dubai, UAE

Driving technology vision and product innovation for a multi-module FinTech SaaS ecosystem serving accounting, payroll, HR, POS, and analytics solutions.

• Architect enterprise-scale backend systems and financial data infrastructures using Python, Flask, FastAPI, and modern API frameworks.
• Lead R&D strategy to evaluate and integrate emerging technologies including AI, data automation, and intelligent reporting engines.
• Direct cross-functional development efforts across backend, database, and analytics domains.
• Design scalable multi-tenant architectures and performance-optimized reporting pipelines.
• Spearhead AI-assisted financial analytics and automation initiatives to enhance decision intelligence.
• Align product innovation with business growth, market needs, and long-term platform scalability.

Jan 2022 - Aug 2023

Senior Data Analyst

PayActiv - Islamabad, Pakistan

Contributed to large-scale financial data analytics and automation initiatives within a global financial-wellness organization.

• Developed analytical models and automated data workflows to support financial decision-making.
• Collaborated with cross-functional teams to optimize reporting pipelines and business intelligence dashboards.
• Strengthened expertise in financial systems, data modeling, and enterprise-grade analytics.

Apr 2022 - Mar 2023

Researcher

CoE AI - Islamabad, Pakistan

Conducted advanced research in AI-driven healthcare analytics, focusing on fraud detection and predictive modeling using data mining and unsupervised learning techniques.

• Designed and implemented machine-learning pipelines for anomaly detection in healthcare insurance claims.
• Collaborated with academic mentors and cross-disciplinary teams to translate research insights into practical AI solutions.
• Strengthened expertise in statistical modeling, data preprocessing, and intelligent system design.
• Contributed to research publications and analytical frameworks targeting real-world healthcare optimization challenges.

Feb 2021 - Mar 2022

Independent Entrepreneurial Venture

Self-Initiated - Rawalpindi, Pakistan

Explored entrepreneurial ventures in e-commerce and AI-driven product development, gaining hands-on experience in digital business operations, product validation, and automation strategies.

• Launched and managed an Amazon FBA e-commerce store, handling product research, supplier coordination, listing optimization, and logistics workflows.
• Experimented with AI-based mobile/web application concepts, focusing on automation, data processing, and user-centric product ideation.
• Developed skills in market analysis, branding, digital marketing strategies, and customer acquisition funnels.
• Strengthened understanding of startup lifecycle, risk evaluation, and product-market fit validation.
• Acquired practical exposure to financial planning, vendor negotiation, and operational scalability challenges.

Jan 2020 - Feb 2021

Data Monitoring & Automation Specialist

PayActiv - Islamabad, Pakistan

Done data monitoring and process automation initiatives to improve operational efficiency and reduce manual overhead across enterprise workflows.

• Designed automated data validation and reporting systems to ensure accuracy and consistency.
• Implemented automation scripts that enhanced productivity and minimized repetitive operational tasks.
• Collaborated with technical teams to streamline cross-departmental data flows.

Apr 2019 - Dec 2019

Social Media Manager & Content Writer

PK Team - Rawalpindi, Pakistan

Managed digital content strategy and audience engagement initiatives across social platforms, strengthening brand visibility and communication impact.

• Developed targeted content campaigns aligned with marketing objectives and audience insights.
• Produced high-engagement written and visual content to drive online growth and brand recognition.
• Analyzed engagement metrics to refine communication strategies and optimize outreach performance.

Education

2021 - 2023

MS - Data Sciences

Bahria University - Islamabad, Pakistan

2018 - 2020

MCs - Computer Science

Arid University - Rawalpindi, Pakistan

Skills & Expertise

Data Analysis

Transforming large datasets into actionable insights using statistical modeling and intelligent reporting.

Designing dashboards and analytical pipelines that support strategic and financial decision-making.

Artificial Intelligence

Building AI solutions using machine learning, NLP, and predictive modeling techniques.

Applying intelligent automation to real-world problems in finance, healthcare, and SaaS systems.

Backend Development

Engineering scalable APIs and backend services using Python, Flask, and modern frameworks.

Optimizing performance, database interactions, and secure system integrations.

SaaS & System Architecture

Designing multi-tenant architectures and modular platforms for scalable cloud-based applications.

Structuring databases and services for performance, reliability, and long-term growth.

Data Engineering & Automation

Creating automated workflows, ETL pipelines, and intelligent data processing systems.

Streamlining operations through scripting, integrations, and process optimization.

Product & R&D Leadership

Driving technology vision, experimentation, and innovation across AI-powered platforms.

Aligning product architecture with business goals, scalability, and user-centric design.

Projects

CapiPlan Books

Designed and developed (together with a talented team) a comprehensive all-in-one accounting and bookkeeping web application, built to empower businesses of all sizes to seamlessly manage their financial operations with greater ease, efficiency, and control.

CapiPlan POS

Healthcare Project

The goal of this research project was to detect healthcare insurance fraud through the use of data mining techniques.