Freelance Data Scientists in Lahore
Freelance Data Scientists in Lahore
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Irtaza Ahmed Khan
Lahore, Pakistan
Machine Learning Engineer
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Machine Learning Engineer
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Wasail: Demand Forecasting System
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6
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Natural Language Processing
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7
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Time Series Forecasting
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6
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Data Scientist
(2)
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Irtaza Ahmed
Johar Town, Pakistan
Data Scientist | Data Analyst | ML Engineer
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Data Scientist | Data Analyst | ML Engineer
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Language Translation Model In Python | NLP Projects
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17
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Masked Language Modeling In Python | NLP Projects
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7
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Sentiment Analysis In Python | NLP Projects
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6
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Text Classification In Python | NLP Projects
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9
Data Scientist
(8)
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Etisam Ul Haq
Lahore, Pakistan
Data Scientist: Expert in Analysis, Databases, AI🔍
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Data Scientist: Expert in Analysis, Databases, AI🔍
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Swift Law - LawGPT
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6
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Clip Insights - Capture Clip and Learn
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4
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Study Buddy
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4
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Data Scientist
(3)
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Yasir Basheer
Lahore, Pakistan
Web Designer & Developer | Framer, Webflow & Figma
1x
Hired
15
Followers
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Web Designer & Developer | Framer, Webflow & Figma
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O-A: Predictive Demand Dashboard
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8
6
Base44 "Give it a Glow" Competition Submission Project: Bake Me Happy — Artisan Bakery Live Customer URL: https://bakehappy.base44.app/ (https://bakehappy.base44.app/)Live Admin URL: https://bakehappy.base44.app/dashboard 1. The Product Overview What it is: A comprehensive, end-to-end artisanal bakery operating system. 💯 Real-World Utility: Most local bakeries rely on messy WhatsApp chats, manual inventory counting, and phone calls for custom cake orders. Bake Me Happy replaces that chaos with a premium storefront and a highly intelligent backend. 💯 Design Quality: The design utilizes a boutique, minimalist aesthetic that matches the high-end nature of the products. It's fully mobile-responsive and feels like a luxury brand experience. 2. The Automation Depth. Customer-Facing Automations (Revenue & CX) 🚀 3D Cake Customizer & Pricing Engine(Hero): Automatically calculates complex pricing tiers in real-time as users customize their cakes (shape, flavor, layers, custom messages). 🚀 AI Cake Concierge (Superagent): A fully implemented web chatbot that asks customers what they are celebrating and suggests specific cakes from the catalog. 🚀 WhatsApp AI Assistant: A 24/7 automated WhatsApp flow that acts as a virtual cashier—answering FAQs, taking custom orders, grabbing delivery details, and automatically syncing the order to the Admin Dashboard. Business-Facing Automations (Time-Saving & Operations): 🚀 Inventory AI(Hero): Automatically tracks ingredient usage based on orders and generates alerts when stock is critical (e.g., < 3 days remaining), saving the owner hours of manual stock-taking. 🚀 Review AI: Automatically aggregates customer reviews and uses sentiment analysis to categorize complaints (Quality, Price, Packaging) and identify "Taste Trends". 🚀 Bakery Co-Pilot: An admin-facing AI assistant that can instantly generate daily business briefings and competitor intelligence reports. 4. The Story The Before: An Instagram page with 5k followers where custom cake orders were a nightmare of manual DMs, manual price quoting, and guessing when ingredients were running low. The After: An end-to-end luxury storefront and an AI-powered operating system built entirely on Base44 that the business is actively using today! What I built: 🤖 AI Superagent & WhatsApp Bot: 24/7 automated order taking and customer support. 📊 Competitor AI: Automatically tracks local competitor pricing and generates business insights. 📦 Inventory AI: Automatically calculates ingredient burn rates and alerts the owner before they run out of stock. They are saving hours a week, and their customers get a premium, frictionless experience. https://www.loom.com/share/4df48796f863412e997b5559ffc54818
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Vela Bottle — Framer Product Landing Page
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5
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Kava by Mitra9: Shopify Ecommerce
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6
Data Scientist
(1)
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Usman Haider
Lahore, Pakistan
AI/ML & Data Solutions Engineer
New to Contra
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AI/ML & Data Solutions Engineer
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Fine-tuned OpenAI Whisper model on domain-specific medical audio data to improve transcription accuracy for clinical and healthcare use cases. The project involved preprocessing medical speech datasets, handling noise and terminology challenges, and optimizing the model for improved recognition of medical vocabulary, accents, and context-heavy conversations. Delivered a robust speech-to-text system capable of producing highly accurate, structured transcriptions suitable for documentation, reporting, and downstream healthcare applications.
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Retail Knowledge Graph In this project, we built a semantic knowledge graph tailored to the retail industry. The pipeline involved developing AI agents to transform heterogeneous data into standardized formats. Ontologies were created to represent domain knowledge accurately. Using Gemini models and LangChain, user queries were converted into Cypher queries to retrieve insights from a Neo4j database. We utilized an MCP server for orchestration and LangSmith for secure login and audit trails. This system enhances complex data exploration for non-technical users.
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Student Medical Chatbot Built a chatbot to assist MBBS students in navigating medical literature. Leveraged Llama Index and fine-tuned language models to ensure accuracy. Embeddings were stored in OpenSearch, hosted on AWS. The Django backend included secure authentication and session management for a robust user experience.
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Prompt Engineering Mini-Academy is a digital learning product built using Kajabi. It helps users learn how to write better AI prompts and use AI tools for daily tasks such as writing, research, summarization, and productivity. The problem it solves is that many people use AI tools without a proper structure, which leads to weak or generic results. This product gives users a clear learning path, practical prompt templates, and workflow examples to improve the quality of their AI outputs. I used Kajabi to create the landing page, email capture form, downloadable prompt resource, product offer, checkout page, and course structure. A sample video is attached to demonstrate the product flow and user experience.
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81
Data Scientist
(1)
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Talha Ubaid
Lahore, Pakistan
AI Engineer and Machine Learning Expert
New to Contra
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AI Engineer and Machine Learning Expert
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Urdu News AI Summarization & Search System Designed and developed an end-to-end AI platform for processing Urdu news from television broadcasts and digital media. The system automatically transcribes speech, extracts text from news tickers, generates concise summaries, and enables intelligent semantic search across large collections of Urdu news content.
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11
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The system continuously monitors examination halls through live camera feeds, analyzes student behavior, and flags suspicious activities such as mobile phone usage, abnormal head movements, gaze deviation, multiple faces, and unauthorized interactions.
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14
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AI Surveillance & Activity Recognition System Built a real-time AI-powered surveillance platform for intelligent monitoring, object detection, and security analytics. The system leverages deep learning and computer vision to detect people, vehicles, unattended objects, and suspicious activities across multiple camera streams. Key Features Real-time person, vehicle, and object detection Automatic Number Plate Recognition (ANPR) Facial recognition and identity verification Multi-object tracking using ByteTrack Unattended baggage and boundary breach detection Crowd monitoring and suspicious activity recognition Real-time alerts and monitoring dashboard Optimized for high-performance GPU deployment
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19
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AI Chatbot with RAG & Multi-Agent System
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64
Data Scientist
(3)
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Mohammad Ali
Lahore, Pakistan
Full Stack Developer and AI Automation Developer
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Full Stack Developer and AI Automation Developer
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Lie Detector
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11
1
Chic Dreams
1
6
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Tabsform
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3
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Data Scientist
(1)
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Waqas Ali
Lahore, Pakistan
AI Developer Data Analyst and ML Expert
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AI Developer Data Analyst and ML Expert
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Road Traffic Accident
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6
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Spam_Email
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5
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Wild Blueberry Yield Prediction
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13
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Data Scientist
(1)
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