Hammad Khan

Mobile • Junior • Management: 1-2 years (1-5 people) • 33 years • Islamabad, Pakistan • UTC+05:00 • In office, Fully remote • Work permits: Pakistan • Citizenship: Pakistan • English: C2 • Available now • from $40k per year

Automation Engineer

9+ years exp

Management: 1-2 years (1-5 people)

20+ projects

Kotlin

SPSS

Python

MATLAB

Scala

SQL

C++

JavaScript

PowerShell

Active 2 days ago

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Overview

Technical skills

Projects

Timeline

Roles

Overview

PROFESSIONAL SUMMARY Automation and analytics professional with 8+ years of experience across enterprise reporting, financial modelling, ERP-integrated automation, data migration, and business operations in FinTech, healthcare, automotive, retail, and oil and gas. Currently acting as Team Lead and Automation & Analytics Engineer at LegalClaims.AI, helping lead AI-assisted development and delivery of an internal enterprise platform spanning CRM, HR, finance, investments, capitalization modelling, expenses, accounting, and IT workflows. Hands-on background in Python, SQL, Power BI, Excel VBA, SAP, Oracle ERP, Azure Data Services, Synapse Analytics, Snowflake, and financial analytics. CORE SKILLS Automation & Analytics: Python, SQL, VBA, Excel VBA, Google Apps Script, scheduled reporting systems, data validation, web scraping Business Intelligence & Data: Power BI, Tableau, Advanced Excel, ETL/ELT pipelines, API integration, data migration, Azure Data Services, Synapse Analytics, Snowflake Enterprise & Finance: SAP S/4HANA, Oracle ERP, financial forecasting, valuation models, EBITDA modelling, IFRS 15, budgeting, variance analysis, accounting and reconciliations Enterprise Systems Delivery: AI-assisted software engineering, enterprise systems development, workflow automation, product delivery, CRM, HR, finance, investments, capitalization modelling, expenses, accounting, IT workflows

Technical skills

Languages

Kotlin

SPSS

Python

MATLAB

Scala

SQL

C++

JavaScript

PowerShell

Databases

Databricks

SAP HANA

PostgreSQL

BigQuery

MariaDB

MS SQL

MySQL

Google BigQuery

Snowflake

MongoDB

Azure SQL Database

Delta Lake

Analytics

Seaborn

Microsoft Excel

Matplotlib

SAP BusinessObjects

Tableau

ETL/ELT

Power BI

Management

Microsoft Office

Google Sheets

Jira

QuickBooks

Monday.com

DevOps

AWS

GCP

GitHub

Other

Claude

Gemini

Navigation Component

ViewModel

Hadoop

Kotlin Coroutines

Power Automate

Azure DevOps

Microsoft Fabric

Azure Data Factory

Machine Learning

Android

MVVM

Kanban

Repository Pattern

Projects

AI-Assisted Internal Enterprise Platform

Feb 2025 to Present 1 Year 7 Months

Helping lead AI-assisted engineering, workflow automation, and product delivery for an end-to-end internal enterprise platform covering CRM, HR, finance, investments, capitalization modelling, expenses, accounting, and IT workflows.

Financial Reporting, Forecasting & IFRS 15 Models

Feb 2025 to Sep 2026 1 Year 7 Months

Developed automated financial reporting workflows and financial forecasting and valuation models, including long-term IFRS 15 modelling.

Python Data Automation & ETL

Feb 2025 to Sep 2026 1 Year 7 Months

Built Python-based automation for API data ingestion, validation, ETL processes, lien splitting, and geographic matching workflows.

Healthcare Analytics Dashboards

Feb 2025 to Sep 2026 1 Year 7 Months

Designed healthcare dashboards and reporting solutions for more than 500 entities, helping turn operational and financial data into usable analysis and reporting.

Power BI

SAP Journal Workflow Automation

Mar 2021 to Aug 2023 2 Years 5 Months

Built an automated Excel-based SAP journal workflow system to support finance operations and reporting processes.

Timeline

Acting Team Lead | Automation & Analytics Engineer • Lead

LegalClaims.AI • Full-Time

Feb 2025 to Present 1 Year 7 Months Fully remote

Help lead AI-assisted engineering and product delivery for an end-to-end internal enterprise platform covering CRM, HR, finance, investments, capitalization modelling, expenses, accounting, and IT workflows. Architect healthcare dashboards, automated financial reporting pipelines, forecasting and valuation models, and Python-based data automation.

Coventry University

Master's Degree • Financial Technology

2023–2024 Coventry, England

Data Analyst • Middle

Domino's Pizza, Birmingham

Sep 2023 to Sep 2024 1 Year

Designed and published interactive Power BI dashboards and KPI reporting for sales performance and profitability. Conducted demand forecasting and trend analysis.

Data Migration & FinTech Support Intern • Junior

Moneyinfo • Internship

Jun 2024 to Jul 2024 1 Month

Performed financial data cleansing and SaaS migration. Built a Power BI-based offline analytics model for client demonstrations. Assisted with client data validation and reconciliation.

Financial & Data Analyst • Middle

Pak Suzuki Motor Company Limited

Mar 2021 to Aug 2023 2 Years 5 Months

Developed pricing analytics, sales forecasting models, and dealer performance dashboards. Built an automated Excel-based SAP journal workflow system and supported budgeting and variance-analysis processes.

Data Analyst Intern - Final Accounts • Junior

OGDCL

Jan 2020 to Feb 2021 1 Year 1 Month

Conducted financial data cleaning and Oracle-based data extraction; developed Excel dashboards and analytical reports. Performed database querying and data validation.

Account Executive to Distribution Manager • Lead

Raaziq Marketing

May 2017 to Dec 2019 2 Years 7 Months

Managed accounts receivable and reconciliations; promoted to Distribution Manager with financial and operational responsibilities. Led inventory management and sales coordination; prepared financial and operational reports.

International Islamic University Islamabad

Master's Degree • Finance

2016–2017 Islamabad, Pakistan

University of Engineering and Technology, Taxila (UET Taxila)

Bachelor's Degree • Finance

2011–2015 Rawalpindi, Pakistan

Junior Mobile Developer Confidence: Medium Android Engineer

Android engineer at a middle level focused on Kotlin-based apps with pragmatic lifecycle and simple concurrency handling. The strongest proven skill is practical Android lifecycle and concurrency work as shown in MainActivity.kt's intent/payload handling and ProductRepository.kt's Mutex-protected caching. There is little to no public evidence of offline-first sync, background/Doze-aware work, full permission flows, testing depth, or CI/release automation.

Platform Native Mastery

3/10

Knowing the mobile platform

Practical platform-native handling is present: lifecycle-aware fragment viewBinding clearing and explicit cold-start/warm-start intent handling are implemented, and concurrency is handled with coroutines/Mutex; however there is no evidence of process-death state restoration, structured cancellation tied to UI lifecycles, or advanced lifecycle fixes.

Evidence

hammad/AirLift/BuyIt/app/src/main/java/com/airlift/buyit/MainActivity.kt: onCreate, onNewIntent, handleIGIPayloadIfPresent intent/Bundle handling hammad/AirLift/BuyIt/app/src/main/java/com/airlift/buyit/ui/notifications/NotificationsFragment.kt: onCreateView / onDestroyView viewBinding nulling hammad/AirLift/BuyIt/app/src/main/java/com/airlift/buyit/datalayer/ProductRepository.kt: suspend getLatestProducts with kotlinx.coroutines.sync.Mutex

Mobile UI/UX & Responsiveness

2/10

Smooth mobile experience

Basic UI patterns and navigation are used correctly - viewBinding, Navigation Component and fragment + ViewModel pairing appear - but there is no evidence of adaptive layouts, accessibility/dynamic type work, RTL or targeted multi-device UX optimizations.

Evidence

hammad/AirLift/BuyIt/app/src/main/java/com/airlift/buyit/MainActivity.kt: Navigation Component setup and AppBarConfiguration hammad/AirLift/BuyIt/app/src/main/java/com/airlift/buyit/ui/dashboard/DashboardFragment.kt: use of ViewModel and viewBinding

Performance & Battery

2/10

Speed and battery use

Minor performance-conscious code exists (simple in-memory caching and Mutex protection) but there are no measured optimizations, profiling artifacts, or battery-aware background work.

Evidence

hammad/AirLift/BuyIt/app/src/main/java/com/airlift/buyit/datalayer/ProductRepository.kt: latestProducts cache with Mutex

Offline & Data Sync

1/10

Working offline and syncing

No offline-first architecture or sync engine; only a simple in-memory cache is present and there is no evidence of local DB, migrations, conflict resolution or queued idempotent retries.

Evidence

hammad/AirLift/BuyIt/app/src/main/java/com/airlift/buyit/datalayer/ProductRepository.kt: basic caching in getLatestProducts

Device Integration

3/10

Using device features

Basic device-integration is present via intent-based push payload handling and SDK handoffs; no full permission flows, camera/location, or deep-link edge-case handling were found.

Evidence

hammad/AirLift/BuyIt/app/src/main/java/com/airlift/buyit/MainActivity.kt: handleIGIPayloadIfPresent mapping Bundle to Map and launching target Activity

Release & App Lifecycle

Building and publishing apps

Not evidenced in public code

Verified artifacts

Metabilia-io/igi_sdk_ios• PR

Expertise

Android• Junior

Industries

Commerce• Junior

Technologies

Android

Kotlin• since 2021 • Junior

MVVM

Kotlin Coroutines

Navigation Component

Repository Pattern

ViewModel

Recommendations

Build consumer-facing product features (product lists, caching, session handling) using MVVM, coroutines and the Repository pattern.
Integrate and harden push/deep-link flows and SDK handoffs, including robust edge-case handling for cold-starts and warm-starts.
Add an offline-first layer (local DB + migrations) and an idempotent retry/sync engine to handle flaky networks.
Hardening tasks such as permission flows, lifecycle-tied coroutine cancellation, and automated instrumentation/CI work.

Repositories

The developer's experience in this domain has been verified based on AI analysis of the following repositories:

igi_sdk_android AirLift