Freelance Data Engineers in KarachiFreelance Data Engineers in Karachi
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Faarid Qureshi's avatar
Faarid Qureshi
proKarachi, Pakistan
Full Stack Engineer | MVPs Shipped in 2 Weeks
$25k+
Earned
7x
Hired
5.0
Rating
29
Followers
Full Stack Engineer | MVPs Shipped in 2 Weeks
Cover image for Student Grit Score Data System
Student Grit Score Data System
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4
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.
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306
Cover image for LiveBazaar - Live Ecommerce Platform
LiveBazaar - Live Ecommerce Platform
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4
Cover image for We just shipped our new
We just shipped our new website of Sliding Scale Technologies. We tried a new way t show our user testimonials which included videos and written reviews as well
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7
602
Data Engineer(2)
Muhammad Arsalan's avatar
Muhammad Arsalan
Karachi, Pakistan
Data Engineer | Web Scraping | SQL | BI Dashboards
Data Engineer | Web Scraping | SQL | BI Dashboards
Cover image for Problem: Users needed a faster way
Problem: Users needed a faster way to find the most relevant counselor based on specialization and available data. Solution: Built a recommendation workflow using PySpark for data processing and Redis for fast lookup and recommendation serving. Tools: Python, PySpark, Redis, Docker, Docker Compose Result: Created a containerized recommendation system that processes counselor data and returns relevant matches efficiently.
0
48
Cover image for Problem: Batch data processing was not
Problem: Batch data processing was not suitable for real-time analytics and scalable cloud-based data ingestion. Solution: Created a real-time streaming pipeline using Kafka on AWS EC2, stored processed data in S3, cataloged it with AWS Glue, and queried it with Amazon Athena. Tools: Python, Apache Kafka, AWS EC2, Amazon S3, AWS Glue, Amazon Athena, Pandas Result: Built an end-to-end cloud data streaming workflow that supports real-time ingestion, storage, cataloging, and SQL-based analytics.
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62
Cover image for Problem: Financial data from stocks and
Problem: Financial data from stocks and crypto APIs was scattered, refreshed manually, and not ready for analytics or ML use. Solution: Built an Apache Airflow pipeline to collect, transform, validate, and load real-time financial data from multiple APIs into PostgreSQL, MongoDB, AWS RDS, and Qdrant. Tools: Apache Airflow, Python, PostgreSQL, MongoDB, AWS RDS, Qdrant, APIs Result: Automated sub-hourly data refresh, processed thousands of records daily, and delivered clean data for dashboards, analytics, and vector search.
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64
Cover image for Problem: Finance data was difficult to
Problem: Finance data was difficult to analyze across sales, profit, orders, discounts, countries, and customer segments. Solution: Created an interactive Power BI dashboard with KPI cards, sales trends, profit analysis, country performance, and segment-level insights. Tools: Power BI, Power Query, DAX, Excel, Data Modeling Result: Delivered a clear executive dashboard for tracking financial performance, identifying trends, and making faster business decisions.
0
52
Data Engineer(3)
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
15
Cover image for Content Moderation using NLP & LLMs for a SaaS startup
Content Moderation using NLP & LLMs for a SaaS startup
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26
Cover image for Data engineering & R Development at the WHO
Data engineering & R Development at the WHO
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27
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Data Engineer(3)
Umar Aurangzeb's avatar
Umar Aurangzeb
Karachi, Pakistan
I build products that ship and ideas that scale.
I build products that ship and ideas that scale.
Cover image for I recently engineered a real-time
I recently engineered a real-time tracking system for a school to replace static reports with continuous feedback. Using a Google Sheets-to-Looker Studio pipeline, I automated the transition from raw teacher observations to parent-facing insights. Key Deliverables: Live Pipeline: Structured Sheets input for teachers to log 12+ data points per student daily. Grit Scoring Engine: Built custom logic weighting effort over mastery using cohort benchmarks. Dynamic URL Security: Implemented unique, filtered dashboard links for secure parent/student access. Automated Insights: Built-in trend indicators (Improving/Stable/Declining) for instant intervention. The Impact: The client now uses a live command center that eliminates manual reporting and provides real-time actionable intelligence.
0
145
Cover image for Designed and built an AI-driven
Designed and built an AI-driven regulatory compliance assistant enabling financial teams to automatically analyze policies, draft compliant documentation, and evaluate regulatory risk in real-time. Key Achievements: Reduced manual policy review effort through automated AI-based document analysis. Built a RAG architecture combining scraped regulatory data and semantic retrieval. Implemented compliance scoring algorithms for structured risk evaluation. Integrated conversational AI for contextual regulatory Q&A.
0
133
Cover image for PowerPresent.AI is an AI-powered presentation
PowerPresent.AI is an AI-powered presentation maker designed to automate and modernize the way presentations are created. It enables users to generate high-quality, structured presentations within seconds using AI. The platform is built with a Next.js frontend and a Convex database, with an AI backend powered by LangChain and LangGraph to handle intelligent content generation, slide structuring, and flow optimization. By combining modern full-stack architecture with advanced AI orchestration, PowerPresent AI delivers fast, scalable, and reliable presentation generation eliminating manual slide creation while maintaining clarity and consistency.
0
185
Cover image for Full-Stack Medical Consultation Platform with Next.js & Node.js
My Mashwara is a full-stack platform built using Next.js and Node.js that provides third-party medical consultation services. The platform features three dedicated dashboards: Admin, Doctor, and Patient. Patients can seamlessly book appointments with doctors through an intuitive interface, while administrators manage and oversee cases across the platform. The system is integrated with Google Meet for virtual consultations and includes a personalized calendar for doctors, allowing them to set their availability so patients can book appointments accordingly.
0
224
Data Engineer(1)
Mahmood Hashmi's avatar
Mahmood Hashmi
Karachi, Pakistan
Agency Partner | Digital Ops & Development
Agency Partner | Digital Ops & Development
Cover image for Multi-Drive Architecture: Synchronizing & Organizing
Multi-Drive Architecture: Synchronizing & Organizing 4 Enterprise Streams Project Overview: The client operated with four distinct Google Drives (Personal, Giant Ventures, WMBG Rentals, and Lock & Key Property Inspection) all linked under a single account. The data was heavily fragmented, with business assets, rental documents, and personal backups mixed across all platforms. I was hired to consolidate and structure this 100GB+ ecosystem into a unified, professional workspace. The Challenges: Cross-Drive Clutter: Files from different businesses were intermingled, causing massive confusion and slow retrieval. Storage Waste: High volume of redundant backups and temporary files taking up valuable cloud space. Syncing Issues: Inconsistent folder naming prevented smooth access across mobile and desktop devices. My Solution & Workflow: Unified Folder Hierarchy: Designed a master structure that separated the 4 entities while maintaining a logical link between them. Deep Data Sorting: Manually audited and moved over 100GB of files into their respective business or personal categories. The "Zero-Duplicate" Protocol: Identified and removed redundant files to optimize storage and reduce costs. Standardized Naming Convention: Established a consistent file-naming system for "Lock & Key" and "WMBG Rentals" to ensure future scalability. The Results: Turnaround Time: Completed the entire migration and organization within 3 days (ahead of schedule). Efficiency Boost: The client can now locate any document from any of the 4 drives in seconds. Seamless Sync: Guaranteed 100% folder accessibility across all client devices.
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53
Cover image for Strategic Influencer Research for Organic Skincare
Strategic Influencer Research for Organic Skincare
0
0
Cover image for Stop Managing Files. Start Managing
Stop Managing Files. Start Managing Your Growth. Do you own your data, or does your data own you? Most businesses I work with share the same frustration: "I know I saved that file, but I have no idea where it is." Recently, I audited a massive 180GB+ ecosystem spread across four different Google Drives—Personal, Business, Rentals, and Property Inspections. It was a digital labyrinth of duplicates, mismatched names, and fragmented folders. The transformation? In just 3 days, we moved from 180GB of digital noise to a streamlined, multi-tier architecture where every file is exactly two clicks away. Why does this matter? Organization isn't just about "cleaning up"; it’s about mental bandwidth. When your operations are structured: You stop wasting 20% of your day searching for documents. Your team syncs effortlessly across devices. Your business is ready to scale without the clutter. I specialize in turning digital chaos into high-efficiency systems—whether it’s Cloud Storage Architecture, B2B Lead Databases, or Operational Workflows. If your Google Drive or Dropbox feels like a junk drawer, let's fix that. Drop a "System" in the comments if you’re ready to reclaim your storage (and your time)! #DigitalOrganization #Operations #Efficiency #CloudStorage #WorkflowOptimization #SystemsBuilding
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41
Cover image for Targeted B2B Lead Generation &
Targeted B2B Lead Generation & Strategic Data Management Project Overview: I was engaged by a private client to execute a high-precision B2B lead generation campaign coupled with comprehensive data organization. The goal was to identify high-intent prospects and build a structured database that would serve as the backbone for the client’s outreach and sales strategy. The Challenges: Lead Quality: The client required specific, verified leads that met strict industry criteria to minimize bounce rates. Information Overload: Raw data was coming in from multiple sources and needed to be unified into a single, actionable format. My Solution & Workflow: Custom Lead Mining: Used advanced search techniques and tools to extract verified B2B leads, focusing on key decision-makers. Data Verification & Cleaning: Manually validated each lead to ensure 100% accuracy of contact information and company details. Dynamic Database Creation: Developed a structured Google Sheets/CRM environment where leads were categorized by industry, location, and potential value. Process Automation: Set up a streamlined workflow for the client to easily import these leads into their email marketing software. The Results: High-Conversion Lead List: Delivered a robust database of verified leads that significantly improved the client’s campaign response rate. Operational Clarity: Provided a clean, organized system that eliminated data silos and allowed for better sales tracking. Client Retention: Successfully met all project milestones, leading to an ongoing professional relationship outside of standard platforms.
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47
Data Engineer(1)
Moiz Ahmed Mansoori's avatar
Moiz Ahmed Mansoori
Karachi, Pakistan
AI Assistants, RAG Chatbots & Business Workflow Automation
New to Contra
AI Assistants, RAG Chatbots & Business Workflow Automation
Cover image for QueryMind lets you query a
QueryMind lets you query a real database using plain English. Type a question, get an answer — no SQL knowledge needed. Built a production-grade AI agent using LangGraph that converts natural language to SQL, executes it on a real PostgreSQL database with 100,000+ rows, and automatically corrects errors in a retry loop if the query fails. Key features: 7-node LangGraph agent with conditional routing and self-correction pgvector semantic search for intelligent schema retrieval Full observability dashboard with real-time metrics and query history Trace replay — see every step the agent took to answer your question Deployed live: Next.js frontend on Vercel, FastAPI backend on Render Tech: LangGraph · Groq LLaMA 3.3 70B · PostgreSQL · pgvector · FastAPI · Next.js · Tailwind CSS Github: https://github.com/moiz-mansoori/QueryMind-NL2SQL-Agent-System
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150
Cover image for I built an AI wellness
I built an AI wellness app that does more than generate responses. It listens, remembers context, and responds with emotional guardrails in place. https://asksukoon.com/ Most “AI wellness” tools today are just chat interfaces with a mental health label attached. AskSukoon was built differently. What’s inside: — Voice conversations with sentiment-aware responses — Memory-powered support using ChromaDB — Guardrails for sensitive interactions — Guided reflections and mood tracking — Fast, mobile-friendly experience built for real users The hardest part wasn’t connecting an LLM. It was designing something that feels calm, safe, and usable in production. Shipping this taught me more about product than 3 years of coursework Live: https://asksukoon.com/ Services: contra.com/moiz_roshan_zszcum4s
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151
Cover image for Built AIRO, a 6-agent ML
Built AIRO, a 6-agent ML automation system using LangGraph and Groq LLaMA 3.3. The system automates the entire ML pipeline from data ingestion to final report generation. Ran 18 experiments achieving RandomForest f1_macro of 0.7329. Features parallel training, MLflow tracking, SHAP explainability, and a dark Streamlit UI with live log streaming.
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241
Cover image for Built a deployed AI tool
Built a deployed AI tool that lets users upload research papers and query them using natural language. RAG pipeline with vector search retrieves precise context-aware answers. Features PDF parsing, AI summaries, topic modeling, and citation extraction. Live on Render.
6
3
339
Data Engineer(1)
Nauman Arif's avatar
Nauman Arif
Karachi, Pakistan
Automation Expert: Web Scraping & Data Extraction
Automation Expert: Web Scraping & Data Extraction
Cover image for Web Scraper for Stocks Data
Web Scraper for Stocks Data
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6
Cover image for E-Sports Data Scraper with Proxies
E-Sports Data Scraper with Proxies
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6
Cover image for Business Directory Scraper with Selenium
Business Directory Scraper with Selenium
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15
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Data Engineer(3)