Freelance Data Engineers in PakistanFreelance Data Engineers in Pakistan
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Faarid Qureshi's avatar
Faarid Qureshi
proKarachi, Pakistan
AI SaaS & MVP Engineer | Next.js, Stripe, React Native
$25k+
Earned
7x
Hired
5.0
Rating
44
Followers
AI SaaS & MVP Engineer | Next.js, Stripe, React Native
Cover image for Another successful knowledge management migration
Another successful knowledge management migration completed. This project involved migrating approximately 200 pages across 48 Quip files into Notion before Quip's sunset. Since there isn't a reliable way to automate the migration, I manually exported and rebuilt the content while preserving structure, formatting, and hierarchy. To make the workspace more valuable than the original, I used Notion AI to organize information, extract action items, clean up documentation, and transform scattered notes into a searchable, future-ready knowledge base. A smooth migration with zero compromise on content quality and a much better workspace for the team going forward.
3
5
475
Cover image for Student Grit Score Data System
Student Grit Score Data System
1
8
Cover image for The Student Grit Score Data
The Student Grit Score Data System is a real-time, effort-focused performance tracking system designed to replace traditional report cards with continuous feedback centered on consistency, engagement, and growth. The system captures daily teacher-observed signals across effort, mastery, reading, and behavior, calculates a daily and weekly Grit Score, and presents insights through clear, role-appropriate dashboards for teachers and parents.
2
368
Cover image for C2BM Workforce Management System
C2BM Workforce Management System
2
18
Data Engineer(3)
Devowise Studios's avatar
Devowise Studios
proPakistan
Web Design Studio | Brand Identity | Framer & AI Solutions
$5k+
Earned
2x
Hired
5.0
Rating
106
Followers
FRAMER_EXPERT

expert

ANYTHING_EXPERT

Expert

+5
Web Design Studio | Brand Identity | Framer & AI Solutions
Cover image for Qlik Sense BI Solution Development for Interactive Analytics
Qlik Sense BI Solution Development for Interactive Analytics
1
5
Cover image for Scalable Azure Data Engineering Solution Implementation
Scalable Azure Data Engineering Solution Implementation
2
7
Cover image for Automated ELT Pipeline Development
Automated ELT Pipeline Development
1
26
Cover image for Epos Now - Azure-Powered Data Engineering Pipeline
Epos Now - Azure-Powered Data Engineering Pipeline
2
33
Data Engineer(5)
Taziem Uddin's avatar
Taziem Uddin
Lahore, Pakistan
I install done-for-you analytics in high-ticket businesses.
$10k+
Earned
2x
Hired
1
Followers
I install done-for-you analytics in high-ticket businesses.
Cover image for No More Mondays: Built From Scratch, One Warehouse
No More Mondays: Built From Scratch, One Warehouse
1
15
Cover image for No More Mondays: The Same Close Rate, Told Two Ways
No More Mondays: The Same Close Rate, Told Two Ways
1
26
Cover image for No More Mondays: $1M+ Traced, Deal by Deal
No More Mondays: $1M+ Traced, Deal by Deal
1
1
Cover image for No More Mondays: Ask Your Data, Get Answers in Seconds
No More Mondays: Ask Your Data, Get Answers in Seconds
1
18
Data Engineer(3)
Mirza Umer's avatar
Mirza Umer
Sialkot, Pakistan
AI Chatbot and Automation Expert
New to Contra
AI Chatbot and Automation Expert
Cover image for The client was losing high-value
The client was losing high-value business leads due to delayed follow-ups and manual data entry across disconnected platforms (CRM, email, and advertising channels). The internal team was spending upwards of three hours a day manually copying lead data, resulting in data fragmentation and an average response time of over 12 hours. The Tech Stack 1. n8n (Advanced Workflow Orchestration). 2. Webhooks & REST APIs (Data Ingestion). 3. PostgreSQL / Airtable (Centralized Data Warehouse). 4. Slack API (Instant Internal Notifications). The Solution. I engineered an autonomous, multi-stage lead processing engine using n8n. The system captures inbound leads via instant webhooks from front-end marketing platforms, normalizes and enriches the data using secondary API lookups, and instantly populates the centralized data warehouse. Simultaneously, the workflow routes the lead based on custom logic (such as budget or region) and fires an immediate, structured notification to the sales team's Slack channel, allowing for a sub-5-minute response time. The Business Impact. The automated pipeline eliminated manual data entry, recovering roughly 15 hours of administrative time per week for the internal team. More importantly, reducing the lead response time from 12 hours down to under 5 minutes directly improved lead-to-opportunity conversion rates by over 30%.
0
35
Cover image for The legal services firm required
The legal services firm required a highly secure, instantaneous method for employees to query a massive internal knowledge base of over 200 complex contracts and compliance documents. The existing manual search process was highly inefficient, taking employees an average of 15 minutes per query and creating significant operational bottlenecks. The Tech Stack 1. Python (Data Ingestion & Formatting). 2. LangChain (RAG Orchestration). 3. Pinecone (Vector Database). 4. OpenAI GPT-4 (Contextual Synthesis). 5. Streamlit (Custom Web Interface). The Solution I engineered a secure Retrieval-Augmented Generation (RAG) pipeline to automate document retrieval. The system ingests and chunks hundreds of legal documents, storing them in a Pinecone vector database. When an employee submits a query, the system retrieves the most relevant semantic chunks and uses GPT-4 to synthesize a coherent response. To ensure zero hallucinations regarding strict legal terminology, the retrieval pipeline is engineered to explicitly cite its sources (e.g., "According to NDA_Template.pdf, Page 4") for every generated answer. The Business Impact The chatbot successfully reduced the time employees spent searching for specific legal clauses from an average of 15 minutes per query down to mere seconds. This drastically improved team productivity, reduced billable hour bloat, and ensured absolute accuracy in document retrieval.
0
64
Cover image for Umair Pets Clinic in Sialkot
Umair Pets Clinic in Sialkot had thousands of Facebook followers and strong reviews but no website or online booking system. I built them a complete booking platform on Base44 including a client booking flow, a staff dashboard, and an automated confirmation system that emails the pet owner and updates the dashboard the moment a booking is made. The live site is at umairpetsclinic.base44.app (http://umairpetsclinic.base44.app). Built for the Base44 Give It A Glow Challenge. #base44giveitaglowchallenge #GiveItAGlow @base44 https://x.com/MirzaUmerContra/status/2076317805700698525
1
128
Cover image for Premier Dental's front desk was
Premier Dental's front desk was overwhelmed with repetitive appointment inquiries during peak hours. This volume caused excessive hold times, missed calls, and ultimately, lost booking opportunities. The staff needed a way to offload routine scheduling without sacrificing the natural, empathetic tone expected in healthcare. The Tech Stack 1. Vapi (Low-Latency Voice AI Infrastructure). 2. Custom LLM System Prompts (Conversational Logic). 3. REST API (Real-Time Calendar Synchronization). 4. Twilio (Telephony Integration). The Solution: I deployed an autonomous, low-latency AI voice agent named "Sarah" to handle inbound calls 24/7. Engineered on the Vapi platform, the agent answers calls instantly, greets patients naturally, and collects necessary intake details (name, preferred date, appointment type). Through REST API integrations, the system checks availability, confirms new bookings, and reschedules existing appointments in real time, while intelligently escalating complex edge cases to a human receptionist. The Business Impact: The voice agent successfully handled 1,240 inbound calls with an 87% resolution success rate and an average call duration of 2 minutes and 34 seconds. By eliminating front desk call overflow, the clinic ensured zero missed booking opportunities, allowing the human staff to focus exclusively on high-touch, in-person patient care.
0
33
Data Engineer(2)
Arslan Khan's avatar
Arslan Khan
Peshawar, Pakistan
AI Automation Architect | n8n · LLM Agents -CRM Tools
6
Followers
AI Automation Architect | n8n · LLM Agents -CRM Tools
Cover image for Project Title: Automated CRM Lead-Capture
Project Title: Automated CRM Lead-Capture & Enrichment Pipeline Role: AI Automation Architect Project Description: I engineered a zero-touch lead-capture pipeline that eliminates manual CRM data entry. The system automatically triggers upon receiving incoming emails, utilizing an AI agent to intelligently parse unstructured inquiries for critical contact details (Name, Company, Requirements). It then validates and pushes this data directly into HubSpot, ensuring lead integrity and 100% capture rate while allowing teams to focus on high-value closing activities rather than administration. Skills: AI Automation, Automation, CRM Automation, Workflow Engineering, Systems Architecture, API Integration Tools: n8n, HubSpot API, OpenAI, JSON Parsing, Webhooks
0
52
Cover image for Project Title: Autonomous Executive Outreach
Project Title: Autonomous Executive Outreach Engine Role: AI Automation Architect Project Description: I engineered an autonomous lead-generation system to replace manual, inefficient job application processes. This system aggregates cross-platform job data, employs intelligent rate-limiting and proxy-rotation for reliable ingestion, and uses an AI agent to perform semantic matching between job requirements and professional experience. It culminates in hyper-personalized outreach, effectively transforming a fragmented manual process into a hands-free, data-driven engine. Skills: AI Automation, Automation, Software Development,CRM Automation, Workflow Engineering, Systems Architecture,Conversational AI, API Integration, Backend Development,Data Engineering, AI Systems, Procurement Automation Tools: n8n, Python, Gmail API, External API Integration, Ollama, Groq, Claude,HubSpot API, ClickUp API, OpenAI, JSON Parsing,WhatsApp Business API, OpenAI, Claude, Webhooks,Python, SQL, Docker, Vector Databases
0
47
Cover image for Studio CGI Car Photography —
Studio CGI Car Photography — Without the $30K Production Budget BMW and Mercedes-tier car campaigns use CGI studios that cost $5,000-$30,000 per shoot and take weeks — matched reflections, physically accurate tyre-contact shadows, studio floor lighting, all hand-built by render artists frame by frame. This engine reproduces that exact physical process — real reflection geometry, real per-tyre contact shadows, real lighting match — but it runs in seconds, not weeks, because it's built as a rendering pipeline, not a filter. This isn't a background-remover with a blur effect under it. It's the same physics those studios use, automated.
0
53
Cover image for KPPSC Prep Pro – First
KPPSC Prep Pro – First AI-Integrated Self-Healing MCQ Engine for Pakistan's Largest Exam
0
58
Data Engineer(2)
Muhammad Jarir Kanji's avatar
Muhammad Jarir Kanji
Karachi City, Pakistan
Data Scientist Transforming Ideas into Solutions
$1k+
Earned
2x
Hired
6
Followers
Data Scientist Transforming Ideas into Solutions
Cover image for Data Engineering & AI/ML Lead at SaaS startup
Data Engineering & AI/ML Lead at SaaS startup
0
17
Cover image for Content Moderation using NLP & LLMs for a SaaS startup
Content Moderation using NLP & LLMs for a SaaS startup
0
28
Cover image for Data engineering & R Development at the WHO
Data engineering & R Development at the WHO
0
31
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Data Engineer(3)