Freelancers using Python in Delhi

Freelancers using Python in DelhiFreelancers using Python in Delhi

Projects People

Trashu Vashisth

Building Production-Grade AI Agents & RAG Systems

14: Followers

Building Production-Grade AI Agents & RAG Systems

Cover image for The Problem: Sales teams waste 60%

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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Cover image for I built a professional, end-to-end

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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Cover image for Developed a production-grade Retrieval-Augmented Generation

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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Cover image for Built an intelligent RAG-based chatbot

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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Data Science and Visualization Expert

1x: Hired

5.0: Rating

9: Followers

Data Science and Visualization Expert

Cover image for Hi Contra community!
Just wrapped a

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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Cover image for Books Data Analysis

Books Data Analysis

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Cover image for Books Data Analysis

Books Data Analysis

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Cover image for Red Wine Analysis

Red Wine Analysis

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Transforming data into insights that drive growth with AI

New to Contra

Transforming data into insights that drive growth with AI

Cover image for Sales Analysis Dashboard Project
Built an

Sales Analysis Dashboard Project Built an interactive Sales Analysis dashboard to track revenue, sales trends, product performance, and customer purchasing behavior. Analyzed sales data to identify growth opportunities and support data-driven business decisions. Key Insights: Identified top-performing products and sales regions Analyzed monthly sales trends and customer buying patterns Tracked KPIs to improve sales performance and forecasting Skills Used: Data Analysis • KPI Reporting • Data Visualization • Dashboard Development • Business Intelligence Tools: Power BI • Excel • SQL • Python

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Cover image for Tesla Sales & Market Analysis

Tesla Sales & Market Analysis Project Conducted a data-driven analysis of Tesla’s sales performance, market trends, and customer demand patterns using real-world datasets. Cleaned and analyzed large datasets to identify revenue trends, regional performance, and key business insights that could support strategic decision-making. Key Business Insights & Decisions: Identified top-performing sales regions and revenue-driving markets Analyzed customer demand trends to understand purchasing behavior Detected seasonal sales patterns to support forecasting strategies Helped highlight opportunities for improving sales performance and market targeting Built interactive dashboards for easy tracking of KPIs and business metrics Skills Used: Data Cleaning & Preprocessing Exploratory Data Analysis (EDA) Sales Trend Analysis Data Visualization Dashboard Development Business Intelligence Reporting KPI Analysis Business Insight Generation Tools & Technologies: Excel • Python • SQL • Power BI • Pandas • Matplotlib

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Cover image for Customer Segmentation Case Study
Analyzed customer

Customer Segmentation Case Study Analyzed customer purchasing behavior using data analysis techniques to identify high-value customer segments and buying patterns. Cleaned and processed raw customer data using Excel and Python, then created interactive dashboards in Power BI to visualize customer demographics, spending habits, and retention trends. Key Business Improvements & Decisions: Identified the most profitable customer groups for targeted marketing Helped optimize marketing campaigns based on customer behavior Suggested personalized offers for high-value customers to improve retention Reduced unnecessary marketing spend by focusing on the right audience segments Improved decision-making through clear KPI dashboards and customer insights Tools Used: Excel • Python • SQL • Power BI

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Cover image for Optimize IT Service Management with Interactive Dashboard In...

IT Service Management Dashboard Project Developed an interactive IT Service Management dashboard to monitor ticket volume, incident trends, SLA performance, and support team efficiency. Analyzed operational support data to identify service bottlenecks, improve response times, and support data-driven operational decisions. Key Business Insights & Decisions: Monitored ticket creation and closure trends to improve operational efficiency Identified high-priority and high-severity incidents requiring immediate attention Tracked SLA compliance rates to reduce delayed ticket resolutions Analyzed support categories and work types to optimize resource allocation Evaluated top-performing IT agents based on ticket resolution performance Improved service quality monitoring through customer satisfaction analysis Dashboard Highlights: Ticket Volume & Closure Tracking SLA Performance Monitoring Ticket Priority & Severity Analysis Support Category Breakdown IT Agent Performance Analysis Customer Satisfaction Metrics Interactive Filters for Dynamic Reporting Skills Used: Data Cleaning & Transformation Exploratory Data Analysis (EDA) KPI Monitoring & Reporting Operational Data Analysis Data Visualization Dashboard Development Business Intelligence Reporting Insight-Driven Decision Making Tools & Technologies: Power BI • Excel • SQL • Python • DAX • Data Visualization

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New Delhi, India

8+ years experience across Products, SaaS and AI

8+ years experience across Products, SaaS and AI

Cover image for Python Program: IMDB Rating Analysis for TV Shows

Python Program: IMDB Rating Analysis for TV Shows

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Cover image for WEBP Converter for Mac App – Offline – Free Download

WEBP Converter for Mac App – Offline – Free Download

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Cover image for Predicting the Top 5 Football Leagues Match Results – Part 1/2

Predicting the Top 5 Football Leagues Match Results – Part 1/2

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Cover image for NO CODE: Start a Tech Business without Coding!

NO CODE: Start a Tech Business without Coding!

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Data Science with Machine Learning Algorithms Expertise

Data Science with Machine Learning Algorithms Expertise

Cover image for A prediction model on Real Estate Housing and rental price

A prediction model on Real Estate Housing and rental price

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Cover image for Project on Logistics in the aspect of Supply Chain Operations

Project on Logistics in the aspect of Supply Chain Operations

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Cover image for Project on Anomaly Detection using Graph Neural Networks

Project on Anomaly Detection using Graph Neural Networks

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Cover image for Predicting the S&P 500 and Don Jones Using Machine learning AI

Predicting the S&P 500 and Don Jones Using Machine learning AI

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Turning complex data into clear, actionable insights.

Turning complex data into clear, actionable insights.

Cover image for Sales Performance Analysis and Prediction

Sales Performance Analysis and Prediction

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Cover image for Customer Churn Analysis and Prediction

Customer Churn Analysis and Prediction

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Cover image for Shipment Price Prediction

Shipment Price Prediction

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AKASH VASHISHTHA

proDelhi, India

Versatile Fullstack Engineer | Web & Mobile Expert

$50k+: Earned

5x: Hired

5.0: Rating

98: Followers

Top

Versatile Fullstack Engineer | Web & Mobile Expert

Cover image for Podly.ai - Podcast Transcription Platform

Podly.ai - Podcast Transcription Platform

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Cover image for Realm - Social Media Platform for Music Producers and Artists

Realm - Social Media Platform for Music Producers and Artists

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Cover image for TestBest | LSAT® Prep & Tutoring

TestBest | LSAT® Prep & Tutoring

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Cover image for Légacie Phase 1

Légacie Phase 1

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proDelhi, India

AI Engineer - Python, React, Next.js, FastAPI, SQL, AWS, API

12: Followers

AI Engineer - Python, React, Next.js, FastAPI, SQL, AWS, API

Cover image for AI Development is the process

AI Development is the process of building systems that can learn, reason, and make decisions from data—basically creating software that behaves in a more “intelligent” way instead of just following fixed rules. Its core, AI development involves combining data, algorithms, and computing power to solve real-world problems—like recommendations, automation, predictions, or natural language understanding.

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Cover image for I develop and manage databases

I develop and manage databases using Elasticsearch, Neo4j, and Supabase to deliver fast search, powerful data relationships, and scalable backends. I design efficient data models, optimize performance, and ensure secure, reliable data access. I handle everything from setup and integration to deployment and ongoing optimization.

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Cover image for Businesses today generate a lot

Businesses today generate a lot of data, but most of it goes unused. Teams often rely on manual analysis or basic tools that can’t uncover deeper patterns. This leads to missed opportunities—whether it’s predicting customer behavior, detecting anomalies, or automating repetitive tasks. Another challenge is that even when machine learning models are built, they are rarely integrated into real workflows. So instead of driving impact, they stay as isolated experiments.

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Cover image for I design and manage database

I design and manage database systems using Elasticsearch, Neo4j, and Supabase to enable high-speed search, rich data relationships, and scalable backend architectures. My work includes building efficient data models, optimizing performance, and ensuring secure, reliable access. I oversee the full lifecycle—from setup and integration to deployment and continuous optimization.

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