Freelancers using Python in Delhi
Freelancers using Python in Delhi
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Trashu Vashisth
Delhi, India
Building Production-Grade AI Agents & RAG Systems
8
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Building Production-Grade AI Agents & RAG Systems
1
Developed a production-grade Retrieval-Augmented Generation (RAG) system specifically designed to automate the analysis of complex Environmental, Social, and Governance (ESG) reports. This tool bridges the gap between static LLMs and the dynamic, data-heavy requirements of legal and sustainability compliance. [1 (https://www.youtube.com/watch?v=wkYPcMtwlN8)] Key Features & Capabilities Intelligent Document Processing: Automatically handles large, unstructured PDF/Word ESG reports, extracting critical clauses and metrics in seconds. Fact-Grounded Q&A: Uses a RAG architecture to ensure all answers are strictly based on the uploaded documents, virtually eliminating AI hallucinations. Compliance Mapping: Cross-references internal company data with global frameworks like CSRD, GRI, and TCFD to identify gaps or inconsistencies. Audit-Ready Traceability: Every insight generated includes direct citations and excerpts from the source files, providing a clear "paper trail" for legal teams. Automated Drafting: Capability to draft legal summaries, notices, or internal policy updates based on analyzed ESG risks Note: The 'Slaughter and May' branding in the sidebar is for UI/UX demonstration purposes only, showcasing how the tool integrates into a top-tier law firm's environment. #AI #RAG #LegalTech #ESG #Python #LangChain
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Developed a full-stack RAG-based E- Commerce AI chatbot using React.js and Tailwind CSS that suggests the perfect laptop from a live catalog. Integrated ChromaDB with BGE Embedding models to provide highly accurate, context-aware product recommendations and instant technical support." Key Highlights: Smart Laptop Recommendations: Uses Semantic Search to match user needs (gaming, coding, etc.) with real-time specs. Advanced Tech Stack: Powered by LangChain for orchestration and BGE models for superior data retrieval. Modern UI/UX: Built a responsive, clean interface using React.js and Tailwind CSS. Zero Hallucination: Ensures all suggestions are strictly grounded in the available product inventory.
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147
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Developed a high-precision Resume Parser using a custom-trained RoBERTa model, specifically fine-tuned for Named Entity Recognition (NER) tasks. This tool automates the extraction of critical information from unstructured resumes with deep learning accuracy. Key Features: NER-Based Extraction: Accurately identifies entities like Name, Experience, Skills, Education, and Contact Info. RoBERTa Architecture: Leverages Transformer-based embeddings for superior contextual understanding compared to traditional parsers. JSON Output: Seamlessly converts complex resume layouts into structured JSON format for easy database integration and ATS (Applicant Tracking System) workflows. High Accuracy: Trained to handle diverse formatting and professional jargon.
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190
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Built an intelligent RAG-based chatbot designed to simplify complex financial analysis. In the project demo, the AI deep-dives into Apple’s annual reports, extracting key fiscal metrics and providing real-time insights through natural language queries. It transforms dense financial filings into actionable data using advanced document retrieval
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3
256
Python
(5)
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Chhavi Verma
Delhi, India
Data Science and Visualization Expert
1x
Hired
5.0
Rating
9
Followers
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Data Science and Visualization Expert
1
Hi Contra community! Just wrapped a rewarding project for Nauvyashree—delivered deep-dive EDA, custom visualizations, and rich survey sentiment analysis across four datasets. Each milestone included well-designed PDFs packed with clear charts and approachable explanations—making insights accessible for all audiences. I went the extra mile with collaborative Google Meet sessions to walk the client through every analysis, helping connect the findings to big-picture goals. Feedback was fantastic, and milestone-based payments made the process smooth and transparent. This project really strengthened my ability to turn complex results into stories that empower client decision-making. If you want visually engaging, client-focused analytics—or need easy-to-follow reports and hands-on walkthroughs for your next project—let’s connect!
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51
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Books Data Analysis
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6
1
Books Data Analysis
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10
1
Red Wine Analysis
1
9
Python
(5)
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Saurabh Singh
New Delhi, India
8+ years experience across Products, SaaS and AI
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8+ years experience across Products, SaaS and AI
0
Python Program: IMDB Rating Analysis for TV Shows
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12
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WEBP Converter for Mac App – Offline – Free Download
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10
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Predicting the Top 5 Football Leagues Match Results – Part 1/2
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9
0
NO CODE: Start a Tech Business without Coding!
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5
Python
(3)
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Victory Joseph
Delhi, India
Data Science with Machine Learning Algorithms Expertise
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Data Science with Machine Learning Algorithms Expertise
0
A prediction model on Real Estate Housing and rental price
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5
0
Project on Logistics in the aspect of Supply Chain Operations
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8
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Project on Anomaly Detection using Graph Neural Networks
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9
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Predicting the S&P 500 and Don Jones Using Machine learning AI
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8
Python
(10)
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Manjeet Hooda
Delhi, India
Turning complex data into clear, actionable insights.
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Turning complex data into clear, actionable insights.
0
Sales Performance Analysis and Prediction
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2
0
Customer Churn Analysis and Prediction
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2
1
Shipment Price Prediction
1
0
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Python
(3)
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AKASH VASHISHTHA
pro
Delhi, India
Versatile Fullstack Engineer | Web & Mobile Expert
$50k+
Earned
5x
Hired
5.0
Rating
80
Followers
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Versatile Fullstack Engineer | Web & Mobile Expert
2
Podly.ai - Podcast Transcription Platform
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149
1
Realm - Social Media Platform for Music Producers and Artists
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101
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AI Platform Stabilization and Enhancement for Kaie
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86
2
TestBest | LSAT® Prep & Tutoring
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124
Python
(1)
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ANIMESH SINGH
Delhi, India
Data & AI Engineer
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Data & AI Engineer
3
Problem: Many organizations still process invoices manually by reading PDF documents and entering key details (invoice number, vendor, amount, etc.) into systems. This process is slow, error-prone, and difficult to scale, and it also makes it harder to detect duplicate invoices or incorrect totals. Solution: This project builds an automated invoice processing pipeline that converts uploaded invoice PDFs into structured data. It uses OCR to extract text, LLMs to identify invoice fields, validation checks to ensure correctness, and Kafka-based event streaming to manage the processing pipeline. The extracted data is stored in PostgreSQL and visualized through a dashboard, enabling faster, scalable, and more reliable invoice processing.
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Problem Statement Urban traffic management systems lack real-time, integrated data combining traffic conditions with weather patterns. This results in poor routing decisions, delayed emergency responses, and inefficient traffic flow management. Solution Developed a comprehensive real-time ETL pipeline that integrates traffic APIs and weather data sources, processes millions of data points, and delivers actionable insights through interactive dashboards for traffic management and route optimization.
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25
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A fully local RAG pipeline that transforms your PDFs into a queryable knowledge base using FAISS vector search and Ollama LLMs. No cloud, no API keys - just private, grounded document intelligence running entirely on your machine.
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29
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A fully Dockerized real-time IoT ETL pipeline that simulates device telemetry, processes events through MQTT and Kafka, orchestrates workflows with Airflow, and delivers real-time alerts and insights to CRM systems with monitoring via Grafana and Loki.
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46
Python
(4)
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Shivansh Yadav
Delhi, India
SaaS MVP Expert | 3 MVPs Shipped | Full-Stack Developer
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SaaS MVP Expert | 3 MVPs Shipped | Full-Stack Developer
1
IronDressAI: AI-Powered Wrinkle Removal Application
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237
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EmailNoob.com AI-Powered Cold Email Personalization
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9
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🎨Adistry.art: AI-Powered Ad Creative Generation
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5
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🦜LangSynth: AI-Powered Synthetic Data Generation
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7
Python
(1)
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