Freelancers using Python in Faridabad
Freelancers using Python in Faridabad
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Trashu Vashisth
Delhi, India
Building Production-Grade AI Agents & RAG Systems
11
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Building Production-Grade AI Agents & RAG Systems
0
The Problem: Sales teams waste 60% of their time researching leads instead of closing them. The Solution: I built a custom Agentic AI Pipeline that automates deep-dive business intelligence and lead scoring. Key Technical Highlights: Multi-Agent Architecture: Built using CrewAI, featuring a 'Business Intelligence Specialist' (for real-time research) and a 'Senior Sales Director' (for strategic scoring). High-Speed Intelligence: Powered by Llama 3.3-70B for near-instant reasoning and decision-making. Real-time Web Scoping: Integrated Tavily AI to fetch live revenue data, employee counts, and market positioning. Enterprise Storage: A robust SQLite backend to manage lead pipelines with a sleek Streamlit dashboard. Smart Throttling: Engineered custom rate-limiting and token-trimming logic to ensure 99.9% uptime even under heavy API constraints. How it works: Simply enter a company name and URL. The AI agents scour the web, analyze the company's "AI potential," calculate a priority score (0-100), and even write a personalized sales pitch—all in under 30 seconds.
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12
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I built a professional, end-to-end AI Receptionist system designed to automate clinic appointment management. This isn't just a chatbot; it's an AI Agent that can reason, use tools, and manage a live database autonomously. Key Contributions: Agentic Reasoning: Integrated CrewAI with Llama 3.3 (Groq) to enable the agent to understand complex user intents (Booking vs. Cancellation) and relative time (e.g., "next Tuesday at 3pm"). Autonomous Tool Use: Developed custom Python tools that allow the agent to verify real-time availability in a SQLite database and execute atomic transactions without human intervention. High-Performance Backend: Built a robust API using FastAPI to handle asynchronous requests between the AI agent and the database. Premium Dashboard: Designed a modern, Glassmorphic UI using Tailwind CSS that provides a real-time sync of the clinic’s schedule. The Result: A seamless, hands-free system that reduces administrative overhead by 100%, allowing clinic staff to focus on patients while the AI handles the entire scheduling lifecycle. Tech Stack: Python, CrewAI, Groq API, FastAPI, SQLite, Tailwind CSS
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28
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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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140
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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
297
Python
(7)
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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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56
1
Books Data Analysis
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7
1
Books Data Analysis
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10
1
Red Wine Analysis
1
10
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
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NO CODE: Start a Tech Business without Coding!
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5
Python
(3)
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Ankit Jha
Gurugram, India
Driving Innovation with AI, Data & Strategy ✨
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Driving Innovation with AI, Data & Strategy ✨
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AI-Driven Fintech Product Launch for UK bank : A case study
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21
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KPI Strategy Overhaul: A Case Study in Strategic Alignment
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13
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Ushering in a new era of AI-powered healthcare abundance
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11
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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
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A prediction model on Real Estate Housing and rental price
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5
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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.
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Sales Performance Analysis and Prediction
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2
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Customer Churn Analysis and Prediction
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2
1
Shipment Price Prediction
1
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Python
(3)
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Dishant | Ex - Instantly, Copilot, Loti
max
Gurugram, India
Full Stack Engineering | Framer Expert | Figma | AI/ML
$25k+
Earned
9x
Hired
5.0
Rating
81
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Full Stack Engineering | Framer Expert | Figma | AI/ML
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Materiaz - AI Powered Materials Intelligence Platform
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6
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Whats Up Wellness Ecommerce Homepage Optimization Worked on the Whats Up Wellness ecommerce storefront with focus on homepage experience, banner optimization, and category level navigation improvements. Contributed to mobile responsive refinements and featured product visibility enhancements to support smoother browsing and stronger engagement.
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83
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Pransutraa Health and Wellness Ecommerce Website Improved homepage product visibility, optimized mobile browsing experience, and enhanced recommendation sections to support smoother product discovery and conversions
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83
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Future AGI AI Platform Landing Page Designed and developed sections of the Future AGI marketing website including hero section, integrations showcase, case study cards, and CTA conversion blocks. Focused on clean layout structure, responsive behavior, and modern AI product presentation.
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129
Python
(1)
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AKASH VASHISHTHA
pro
Delhi, India
Versatile Fullstack Engineer | Web & Mobile Expert
$50k+
Earned
5x
Hired
5.0
Rating
86
Followers
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Versatile Fullstack Engineer | Web & Mobile Expert
2
Podly.ai - Podcast Transcription Platform
2
157
0
Légacie Phase 1
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2
1
Realm - Social Media Platform for Music Producers and Artists
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105
3
AI Platform Stabilization and Enhancement for Kaie
3
95
Python
(1)
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