Freelance Data Scientists in Delhi
Freelance Data Scientists in Delhi
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Ajay Bidyarthy
Delhi, India
Data Science AI ML Expert with Python Full Stack & Backend
12
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Data Science AI ML Expert with Python Full Stack & Backend
2
I specialize in transforming complex datasets into intuitive, visually compelling dashboards that drive strategic decision-making. With deep expertise in BI tools and data analytics, I design interactive, real-time reporting systems that help businesses uncover trends, monitor KPIs, and optimize performance. My approach combines data storytelling, clean UI/UX, and scalable architecture to deliver impactful insights. đš My Project Portfolio: đ 1. Executive Business Intelligence Dashboard Built a dynamic KPI dashboard for C-level executives Integrated multiple data sources (CRM, ERP, marketing platforms) Delivered real-time insights on revenue, growth, and performance Tools: Power BI, SQL, Azure đ 2. E-commerce Analytics Dashboard Designed a dashboard tracking sales, customer behavior, and conversion rates Implemented cohort analysis and funnel visualization Improved marketing ROI tracking by 40% Tools: Tableau, Python, Google Analytics đ 3. Financial Performance & Forecasting Dashboard Developed financial models and forecasting dashboards Visualized cash flow, P&L, and budget vs actuals Enabled data-driven financial planning Tools: Power BI, Excel, DAX đ 4. Operations & Supply Chain Dashboard Created logistics tracking and inventory monitoring system Real-time alerts for stock levels and delays Reduced operational inefficiencies Tools: Looker Studio, BigQuery đ 5. AI-Powered Analytics Dashboard Integrated machine learning predictions into dashboards Automated anomaly detection and trend analysis Delivered predictive insights for decision-making Tools: Python, TensorFlow, Streamlit
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Iâve worked on building graph database solutions to handle complex, highly connected data that traditional relational databases struggle with. The main goal was to model relationships more intuitively and enable faster, more meaningful queriesâespecially for use cases like recommendations, fraud detection, and network analysis. Tech Stack âGraph Databases: Neo4j âQuery Language: Cypher âBackend: Python (FastAPI / Flask) âData Processing: Pandas âVisualization: Neo4j Bloom / D3.js âCloud & Deployment: AWS / Docker
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Businesses today generate a lot of data, but most of it goes unused. Teams often rely on manual analysis or basic tools that canât uncover deeper patterns. This leads to missed opportunitiesâwhether itâs 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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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 lifecycleâfrom setup and integration to deployment and continuous optimization.
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241
Data Scientist
(7)
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Chhavi Verma
Delhi, India
Data Science and Visualization Expert
1x
Hired
5.0
Rating
10
Followers
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Data Science and Visualization Expert
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Books Data Analysis
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Books Data Analysis
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Red Wine Analysis
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Hi Contra community! Just wrapped a rewarding project for Nauvyashreeâdelivered 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 explanationsâmaking 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 analyticsâor need easy-to-follow reports and hands-on walkthroughs for your next projectâletâs connect!
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115
Data Scientist
(3)
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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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Stock Prediction from Time Series
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Customer Segmentation Project
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6
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"AI-Powered Fraud Detection System | 99.96% AUC"
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5
Data Scientist
(4)
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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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19
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Develop a responsive Python dashboard
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Compare machine learning classification algorithms
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Winning space race with data science
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33
Data Scientist
(4)
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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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Project on Logistics in the aspect of Supply Chain Operations
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A project on Game Theory based on Mathematical Models
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Project on Multi-Objective Decision Analysis - TOPSIS
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21
Data Scientist
(12)
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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 â AI-Powered Grant Discovery Platform
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CaratIQ â Modern Jewelry Management & Catalog Platform Managing dynamic jewelry inventories across multiple sales channels often breaks under traditional database models due to real-time pricing recalculations and complex SKU variations. What I Built: ⢠Dynamic Catalog & Multi-Attribute Filtering: Architected sub-150ms catalog searches handling live metal spot pricing, carat grades, and stone certification tiers without client-side lag. ⢠Server-Rendered Architecture: Leveraged Next.js Server Components to offload bulk queries, significantly reducing initial client bundle size. ⢠Automated Inventory & Invoicing Sync: Integrated custom webhooks and payment flows for instant stock reservation and order processing. ⢠Role-Based Access Control: Built multi-tenant admin dashboards for floor staff, store managers, and suppliers. Tech Stack: Next.js, React, Node.js, PostgreSQL, Tailwind CSS, REST APIs & Webhooks Results: ⢠Sub-150ms Query Speeds: Cut search and filtering latency by over 40% across extensive catalog datasets. ⢠Zero Sync Collisions: Automated live price updates and inventory locks, eliminating overselling across peak sales windows. The Outcome: Transformed a traditionally fragmented retail inventory system into a unified, high-speed SaaS platform that bridges in-store sales and digital catalog operations.
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Skej â Conversational AI Scheduling Platform
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CaratIQ â Jewelry Retail Cloud Platform
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Data Scientist
(1)
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Vikas Kashyap
Delhi, India
Data visualization engineer, Data Analyst, BI Expert
13
Followers
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Data visualization engineer, Data Analyst, BI Expert
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Power BI Dashboard for Paris Olympics 2024
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Executive Summary Dashboard for Google Merchandise Store
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National Accident Statistics Dashboard in Google Looker Studio: I built an interactive Looker Studio dashboard using Google Sheets as the data source to visualize national accident statistics. The report analyzes accidents by region, time, severity, and demographics. A scheduled data re:fresh every 15 minutes keeps the dashboard updated in real time. As a Data Visualization Expert, I combined automation and design to deliver a clean, insightful, and dynamic Looker Studio dashboard for data-driven decision-making. đ đŻ đ
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Ecommerce Analytics Dashboard in Looker Studio
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Data Scientist
(1)
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Ram Parmeshwar Chaudhari
Delhi, India
Technologies
New to Contra
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Technologies
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GitHub - rush026/Network-Anomaly-Detection-System: This projectâŚ
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COVID-19 Chest Classification System
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GitHub - rush026/GOD-B
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GitHub - rush026/chat
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Data Scientist
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