Freelancers using Matplotlib in Ghaziabad
Freelancers using Matplotlib in Ghaziabad
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mayank
Delhi, India
Expert Data Visualization with Tableau & Matplotlib
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Expert Data Visualization with Tableau & Matplotlib
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Skin Lesion Detection Using Convolutional Neural Networks – ISI…
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29
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Comprehensive Stock Analysis and Prediction Using LSTM: A Case …
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17
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Visualizing and Predicting California Housing Prices: A Linear …
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95
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Matplotlib
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Shrisha
Ghaziabad, India
Aspiring dev crafting practical, reliable systems.
New to Contra
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Aspiring dev crafting practical, reliable systems.
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Deepfake Detection System Problem: Deepfake accessibility creates real risks—misinformation, identity fraud, digital trust erosion. I built a production-grade detector: fast, accurate, explainable, CPU-deployable. Approach: Transfer learning with ResNet-50 (25.5M params, pre-trained ImageNet-1K V2). Rather than training from scratch on limited data, I leveraged rich hierarchical features that transfer exceptionally well to detecting artifact patterns (blending boundaries, color mismatches, compression artifacts). Key Decisions: Face-Centric Preprocessing: OpenCV DNN crops faces to 224×224, concentrating attention on artifact-rich regions (eyes, mouth, jawlines). Custom Classification Head: Bottleneck design (2048→512→1) with Focal Loss, label smoothing, progressive unfreezing—prevents overfitting on ~4,000 Ciplab images. Explainable AI: Custom Grad-CAM generates attention heatmaps showing exactly where the model detected artifacts. Real-World Robustness: Trained on JPEG compression, Gaussian noise, blur augmentations to handle compressed video feeds. Results: AUC-ROC: 0.9424 | Accuracy: 87.25% | Precision/Recall: 87.27%/84.81% Inference: <100ms per face on CPU Live on Hugging Face Spaces (no GPU) Tech: PyTorch, OpenCV, Albumentations, Gradio. Images, videos, live webcam—one codebase. Demonstrates: End-to-end AI engineering with deliberate trade-offs (efficiency over raw accuracy), training discipline (Focal Loss, Cosine Annealing), and production-first thinking (CPU compatibility, interpretability, real-world robustness). Demo: https://huggingface.co/spaces/Shri04/deepfake-detector
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JobTracker AI — AI-Powered Job Application Tracker
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Government School ERP System — Full-Stack Platform for a Real Government School Client Designed and built a bilingual, full-stack ERP system for a government school in Uttar Pradesh — replacing paper attendance registers, handwritten admission forms, and manual Mid-Day Meal logs with a secure, role-based digital platform. Architected the full data layer — a 25+ model relational schema (PostgreSQL + Prisma) mapped directly from the client's actual government paperwork, including India's UDISE+ admission forms and Form-34 Transfer Certificates, not a generic template. Built defense-in-depth security — role-based access control enforced at the server layer (not just route guards), brute-force account lockout, and a login system designed around a real constraint: students without personal phones authenticate by admission number instead. Shipped a bilingual UI from day one — Hindi and English throughout, using next-intl, so the interface actually works for the people using it, not just the developer testing it. Automated the admission pipeline end-to-end — a 30+ field digital intake form (photo + document uploads to cloud storage) that auto-generates student accounts and credentials in a single atomic transaction. Still actively building — Mid-Day Meal tracking and automated report card generation are next. Open to freelance and contract work where someone needs to own both the system architecture and the day-to-day execution. If it's real, complex, and needs to actually ship — let's talk.
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Full-Stack AI-Powered Job Search Platform | Next.js · TypeScript · PostgreSQL · Groq AI · n8n Built a production-ready web application to help job seekers manage their entire job hunt in one place — replacing messy spreadsheets with an intelligent, automated pipeline. Developed a drag-and-drop Kanban board tracking applications across 6 stages (Applied → Offer → Rejected) with real-time updates Integrated Groq LLaMA 3.3 70B via n8n automation workflows to power an AI chat assistant that lets users query and update their pipeline conversationally Built an ATS Resume Scorer — paste any JD to get a 0–100 match score, keyword gap analysis, strengths/gaps breakdown, and interview likelihood rating Built an AI Resume Tailor with two modes: section-by-section suggestions and a full ATS-optimised rewrite — output downloadable as .txt Implemented Google OAuth auth, serverless PostgreSQL (Neon), PDF resume parsing, and JD auto-extraction — all at $0/month infrastructure cost Stack: Next.js 16 · TypeScript · Prisma · PostgreSQL (Neon) · Groq API · n8n · NextAuth.js · Docker
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51
Matplotlib
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Pratik Bhambri
Dadri, India
Data Scientist: Python, RStudio, ML, BI, NLP, DL, LLM
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Data Scientist: Python, RStudio, ML, BI, NLP, DL, LLM
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Portfolio Optimization Project
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5
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Customer Segmentation Project
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4
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Stock Prediction from Time Series
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3
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"AI-Powered Fraud Detection System | 99.96% AUC"
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5
Matplotlib
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Himanshu Narwal
Delhi, India
Transforming complexity into clarity through data.
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Transforming complexity into clarity through data.
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Use data science Python libraries to forecast housing prices
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14
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Winning space race with data science
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28
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Compare machine learning classification algorithms
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14
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Develop a responsive Python dashboard
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17
Matplotlib
(1)
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Vaibhav Kumar
Delhi, India
Building AI, ML & data-driven solutions with Python.
New to Contra
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Building AI, ML & data-driven solutions with Python.
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Bitcoin Market Sentiment and Trader Performance Analysis
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2
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AI-Powered QMS for Complaint Management
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AI vs Human Text Classification Using BERT
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Medical Insurance Cost Prediction
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1
Matplotlib
(1)
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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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Project on Anomaly Detection using Graph Neural Networks
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21
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Project on NLP based on customers sentiment analysis
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21
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A prediction model on Real Estate Housing and rental price
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19
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Built an AI model that predicts consumers purchasing behavior
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21
Matplotlib
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Divyansh Singh Parihar
Delhi, India
Engineer who ships clean, functional, and scalable web apps.
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Engineer who ships clean, functional, and scalable web apps.
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Intelligent Memory-Based Obfuscated Malware Detector
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3
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8-Bit UI Kit: Retro-Inspired Web Design System
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DoContent - AI Content Generator Tool
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4
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Matplotlib
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Nishita .
Faridabad, India
AI & Data Solutions, Insightful Analysis
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AI & Data Solutions, Insightful Analysis
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GitHub - Nishita76/Retail-Customer-Clustering
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Django-NLP-News-Summarization
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9
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GitHub - Nishita76/Customer-Churn-Prediction: IBM Telco custome…
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7
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