Freelancers using XGBoost

Freelancers using XGBoostFreelancers using XGBoost

Projects People

Sanket Sabharwal, PhD

proGenoa, Italy

Senior Software & ML Engineer | Zero to One Product Builder

$50k+: Earned

6x: Hired

5.0: Rating

26: Followers

Top

Expert

Senior Software & ML Engineer | Zero to One Product Builder

Cover image for Machine Learning for Sports Betting - NCAA College Basketball

Machine Learning for Sports Betting - NCAA College Basketball

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Cover image for Web Scraping Systems - Large-Scale Data Extraction Pipelines

Web Scraping Systems - Large-Scale Data Extraction Pipelines

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Cover image for BI Dashboards - Retail Analytics & Forecasting

BI Dashboards - Retail Analytics & Forecasting

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Cover image for Computer Vision for Manufacturing - Defect Detection & QA

Computer Vision for Manufacturing - Defect Detection & QA

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proDubai - United Arab Emirates

Automation Engineer - n8n + Supabase + Codex, OpenClaw 🚀

$10k+: Earned

6x: Hired

5.0: Rating

41: Followers

expert

Automation Engineer - n8n + Supabase + Codex, OpenClaw 🚀

Cover image for ML Evaluation Infrastructure for Fraud Detection

ML Evaluation Infrastructure for Fraud Detection

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Cover image for IOS Risk Data Foundry — Domain-Specific Financial Risk AI

IOS Risk Data Foundry — Domain-Specific Financial Risk AI

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Cover image for OpenClaw Setup: AI-Driven Automation System for Credit Startup

OpenClaw Setup: AI-Driven Automation System for Credit Startup

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Cover image for High-Volume Call Routing & Reporting

High-Volume Call Routing & Reporting System Designed and implemented an end-to-end calling infrastructure that integrates call data sources, automates daily performance reporting, and powers real-time visualization dashboards. Built a phone-number rotation system capable of cycling through thousands of Twilio numbers to support 10,000–50,000 outbound calls per day while staying within per-number limits, ensuring scalable, compliant, and reliable high-volume calling operations.

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I’m an AI & Machine Learning engineer with expertise in deve

I’m an AI & Machine Learning engineer with expertise in deve

Cover image for I’m excited to share AuditFlow AI – AI-powered continuous au...

I’m excited to share AuditFlow AI – AI-powered continuous auditing platform built specifically for Chartered Accountants and audit firms. CA's practices today are drowning in manual sampling, 40–60 hour audit cycles, talent shortages, and rising client pressure for faster delivery with lower fees. Most frauds and GST/TDS errors go undetected until the assessment stage because traditional methods check only 2–5% of transactions. AuditFlow AI changes that completely: upload any ledger/Excel/CSV and in under 10 seconds it scans 100% of transactions, flags duplicates, round-figure entries, weekend fraud, high-value anomalies, and vendor loops – with plain-English AI explanations for every red flag. Tech stack: Python, Flask, XGBoost, Isolation Forest, scikit-learn, Bootstrap 5, and trained on 5,000+ synthetic + real-world patterns

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Cover image for Everyone's talking about quantum computing.

Everyone's talking about quantum computing. Nobody's using it to feed farmers. India loses 20–30% of its crop yield every year to diseases and pests. Not because farmers don't care — but because early detection is hard, expensive, and inaccessible to the people who need it most. The existing solutions? Either a basic image classifier trained on lab-perfect photos that fail in real field conditions, or an agronomist visit that costs time and money most small farmers don't have. So I built QuantumEdge AgriGuard — a hybrid Quantum Neural Network app where a farmer can photograph a diseased leaf on their phone and get an instant diagnosis in under 5 seconds. Here's what makes it different from just another plant disease detector: Instead of a pure classical CNN, I built a hybrid architecture — a ResNet/EfficientNet backbone extracts visual features, then passes them into a Variational Quantum Circuit (VQC) for the final classification. The quantum layer uses angle embedding + StronglyEntanglingLayers, which gives it a measurable edge on small, noisy datasets — exactly the kind of data you get from Indian field conditions. The app doesn't just tell you what disease it is. It gives you: → Confidence score → Organic + chemical remedies (India-specific) → Yield impact estimate → A live classical vs quantum accuracy comparison so you can see the difference yourself I tested the quantum advantage claim honestly — ran both models on the same downsampled PlantVillage dataset and tracked accuracy, F1-score, and inference time side by side. The results are on the dashboard. No hand-waving. Built with PennyLane + PyTorch + Plotly Dash. Designed to run on simulators today and on QpiAI-Indus 25-qubit hardware tomorrow.

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Cover image for Most AI research tools are

Most AI research tools are just a chatbot with a search button. I built something different. Every time you ask an AI to research something, you're getting one model, one pass, no quality check. It writes confidently, cites poorly, and you have no idea if what it produced is actually accurate. For anyone making real decisions from AI-generated research, that's a silent risk most people ignore. The problem gets worse at scale the longer and more complex the question, the more a single model hallucinates, misses sources, and loses structure. There's no one checking its work. So I built ResearchOS a 5-agent pipeline where each agent has one job. A Supervisor breaks down your question. A Researcher runs parallel searches across 22+ sources. An Analyst extracts data and auto-generates charts. A Writer synthesises a cited report. A Critic fact-checks it and sends it back for revision if anything is wrong. The loop runs up to 3 times before the report is approved. One question in. A full cited report with charts and PDF export in under 10 minutes. I tested it live by watching the Critic catch a missing citation mid-run and send the Writer back to fix it before approval. That's the part that makes this actually usable for real work. Built on LangGraph, Groq, Tavily, ChromaDB and runs entirely on free tiers.

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Cover image for It all started on a

It all started on a Sunday at the AWS User Group Mumbai meetup. I wasn't expecting to walk away with a new obsession, but then the speaker introduced me to Temporal and everything changed. Temporal is a durable execution engine that solves one of the hardest problems in agentic AI what happens when your LLM workflow crashes mid-run? Normally you lose everything So I went home and built this: an agent that monitors your competitors around the clock tracking pricing changes, product launches, hiring signals, and strategic moves. Every 24 hours it uses Mistral (running fully on-device via Ollama) to analyze the data and synthesize a structured executive briefing delivered straight to your inbox. Sometimes the best projects start with a Sunday conversation. https://github.com/AnuragNagare/Agentic-AI-.git

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Pimpri-Chinchwad, India

Power BI Data Analyst turning data into insights

9: Followers

Power BI Data Analyst turning data into insights

Cover image for Medicine Supply Chain Disruption Predictor
Built

Medicine Supply Chain Disruption Predictor Built a production-ready ML system that predicts drug shortage risk using real FDA data. Collected and cleaned 1703 real drug shortage records, trained an XGBoost model, and deployed it as a live REST API — accessible to anyone worldwide. The biggest challenge was identifying and removing 6 sources of data leakage that were causing fake 100% accuracy. After fixing this, the model delivers honest, generalisable predictions. The entire system is containerised with Docker, automatically rebuilt and redeployed via a Jenkins CI/CD pipeline on every code push, and visualised through an interactive Power BI dashboard. Result: A complete ML + DevOps project — from raw data to live deployed API — built independently in under 2 weeks. Live API: https://medicine-supply-predictor.onrender.com/docs GitHub: https://github.com/nehaM906/medicine-supply-predictor

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Cover image for Revolutionize Sales Data with BizPulse AI Dashboard

BizPulse — AI-Powered Business Analytics Dashboard Built for the Anything Ship & Sell Remixathon on Contra. What is BizPulse? An AI-powered business analytics tool that transforms messy, raw sales data into a clean professional dashboard instantly — no coding or spreadsheet skills needed. How it works: Upload any messy CSV or Excel file BizPulse auto-cleans your data and maps your columns Get a full analytics dashboard with KPIs, charts and AI insights Key Features: Business Health Score out of 100 KPI scorecards — Revenue, Expenses, Profit Margin, Customers 6 interactive charts with hover tooltips 5 AI-generated plain English business insights Revenue Goal Tracker with live progress bar Export as PDF and CSV No dataset? No problem! Click "Try Sample Data" on the upload screen to instantly load a realistic fictional dataset and explore the full dashboard. @Anything Try it here: https://bizpulse-879.created.app/ LinkedIn post: https://www.linkedin.com/posts/neha-madrala_anythingremixathon-buildinpublic-nocode-ugcPost-7453420153456762882-P2ve Demo Video: https://www.loom.com/share/3574386d73924ac59076493b055570c1

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Cover image for Transform Your Analytical Skills with Business Insight Mastery

The biggest shift in my learning hasn’t been technical it’s been mindset. I used to think good analysts are the ones who know more tools. Now I realize they’re the ones who understand the business better. Anyone can create charts. Not everyone can explain why it matters. That’s what I’m working on every day.

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Cover image for Data is useless. Yes, it

Data is useless. Yes, it is. Because on its own, it doesn’t say much. It’s just numbers, rows, and columns. The real value comes when that data is understood — when it answers a question, shows a pattern, or drives a decision. That’s what turns data into information. And that’s what businesses actually need.

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Bahawalpur, Pakistan

Data Scientist | LLM Specialist | Machine Learning

Data Scientist | LLM Specialist | Machine Learning

Cover image for FinCast Pro Development

FinCast Pro Development

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Cover image for Built a full YouTube analytics

Built a full YouTube analytics dashboard in Google Looker Studio using real channel data from Dark Psychology Archive. The dashboard tracks 6 KPIs — Views (18,582), Watch Time (51.2 hrs), CTR (4.32%), Likes (1,302), Subscribers Gained (105), and Engagement Rate (10.31%). A monthly trend line reveals the growth curve peaking at 4,266 views in November. Content-type breakdown shows Shorts drive 71% of total views. Top performer: Hoovering at 1,232 views with 8.2% CTR. Built to help content creators make data-driven decisions on what to post, when, and in what format — without exporting CSVs manually.

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Cover image for HR teams spend hours every

HR teams spend hours every week pulling salary, performance, and turnover data from separate spreadsheets. This dashboard puts all of it in one place — live. Built this HR Analytics Dashboard in Google Looker Studio with 5 KPI cards, department salary breakdown, geo distribution map, and a ranked leaderboard sorted by total compensation. Engineering leads at $1.05M total salary. Finance close behind. Decision-makers can see that in 3 seconds instead of 3 hours.

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Cover image for Built an interactive Sales Performance

Built an interactive Sales Performance Dashboard in Google Looker Studio — fully connected to live data. Features 6 KPI cards (Revenue, Profit, Units Sold, Margin, Orders, Avg Order Value), revenue trend line chart, category donut chart, region breakdown, and salesperson leaderboard.

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Kristóf Németh

Budapest, Hungary

Data Analysis & Science Services

Data Analysis & Science Services

Cover image for Customer Churn Prediction with Machine Learning

Customer Churn Prediction with Machine Learning

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Cover image for Predicting NO₂ Levels Using Machine Learning

Predicting NO₂ Levels Using Machine Learning

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Cover image for New York Taxi Fare Prediction Model

New York Taxi Fare Prediction Model

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İstanbul, Turkey

Analytics, insights, impact - all just one hire away.

Analytics, insights, impact - all just one hire away.

Cover image for AutoML Pipeline

AutoML Pipeline

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Cover image for ETF Analytics Dashboard

ETF Analytics Dashboard

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Cover image for Bestseller Narrative Analytics Platform

Bestseller Narrative Analytics Platform

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Chandigarh, India

A Machine Learning,research paper writing and web developer.

A Machine Learning,research paper writing and web developer.

Cover image for Titanic Survival Prediction - Streamlit App

Titanic Survival Prediction - Streamlit App

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Cover image for Supply Chain Risk and Inventory Management Dashboard

Supply Chain Risk and Inventory Management Dashboard

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Cover image for AI-Powered CRM System

AI-Powered CRM System

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