Freelance Data Scientists in Uttar Pradesh
Freelance Data Scientists in Uttar Pradesh
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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
0
Portfolio Optimization Project
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5
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Stock Prediction from Time Series
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3
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Customer Segmentation Project
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4
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"AI-Powered Fraud Detection System | 99.96% AUC"
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5
Data Scientist
(4)
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Shashwat Srivastava
Lucknow, India
Engineering
$1k+
Earned
1x
Hired
5.0
Rating
3
Followers
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Engineering
0
Real-Time Synchrophasor Data Compression Using SVD
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8
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Spectrum Sensing using Deep Learning
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12
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DL-Based Solution for Detection of Face-Swap Deep Fake Photos
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11
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Data Scientist
(3)
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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.
2
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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133
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JobTracker AI — AI-Powered Job Application Tracker
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5
1
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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43
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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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48
Data Scientist
(1)
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Sparsh Gupta
Noida, India
Full-Stack & AI Developer building scalable SaaS products
New to Contra
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Full-Stack & AI Developer building scalable SaaS products
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Grantiv – AI-Powered Grant Discovery Platform
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2
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Zoom2u — Delivery & Logistics Platform
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1
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CaratIQ — Jewelry Retail Cloud Platform
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0
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Skej — Conversational AI Scheduling Platform
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1
Data Scientist
(1)
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Shivendra Singh Bhadauriya
Kanpur, India
BI Architect & Power BI Developer | 6+ Years of Experience
New to Contra
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BI Architect & Power BI Developer | 6+ Years of Experience
3
Every business constantly monitors its numbers. One department that relies on them the most is the Marketing / Ads Tracking team. Marketing teams usually track performance across multiple platforms like Google Ads, Facebook Ads, Meta, and other channels. The challenge is that the data is often scattered, making it difficult to quickly understand overall performance. Great dashboards don’t just show data — they help businesses make smarter decisions faster. If your business is looking to build powerful Power BI dashboards for marketing, sales, or business analytics, feel free to connect with me. 📩 Open to Power BI projects #PowerBI #DataAnalytics #MarketingAnalytics #BusinessIntelligence #DashboardDesign
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110
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Power BI Superstore Global Sales Dashboard providing a worldwide view of sales and profitability. Features KPI cards (Sales $12.6M, Profit $1.5M, Ratio 12%), global sales map, country and city performance, sales trends, and sub-category profit analysis to identify top markets and growth opportunities.
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43
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Power BI Predictive Analysis Dashboard enabling profit forecasting and scenario analysis. Includes profit forecast trends, predicted vs existing profit comparison, and a dynamic discount slider to simulate pricing impact on profit. Helps businesses evaluate strategies and anticipate future performance
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46
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Power BI Sales Analysis Dashboard showing regional profit distribution, monthly sales trends, and YoY growth. Features category slicers, profit-by-region donut chart, sales trend analysis, and yearly performance metrics (MTD, QTD, YTD) to help executives quickly track sales performance and regional profitability.
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52
Data Scientist
(5)
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Pratyaksh Suri
Agra, India
Python, C#, SQL: Advancing Technology
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Python, C#, SQL: Advancing Technology
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EDA Projects
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11
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Inventory Management System
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29
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Custom Object Detection using Computer Vision
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8
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Data Scientist
(2)
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Shahezaman Khan
Lucknow, India
Finance Professional, AI Trainer, Equity Researcher
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Finance Professional, AI Trainer, Equity Researcher
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Log in to IBM Cloud Pak for Data
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5
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Falcon 9 Landing Prediction Project
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14
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Viksit Bharat
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4
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(2)
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Mantasha Idrisi
Lucknow, India
AI/ML Developer & Automation Specialist | Prompt Engineer
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AI/ML Developer & Automation Specialist | Prompt Engineer
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App Recommendation and Prediction System
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3
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MediSense AI Medical Chatbot Development
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3
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Mini Prompt App - a Hugging Face Space by IMantasha
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1
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Data Scientist
(1)
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