Freelance Data Analysts in Chennai
Freelance Data Analysts in Chennai
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Navneet Singh
Chennai, India
Transforming Data into Interactive Dashboards
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Transforming Data into Interactive Dashboards
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Dairy Farmers of America
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GSK PharmaTech
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MARS Petcare
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(2)
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Nagaraj M
pro
Chennai, India
Wordpress Expert 10+| Full Stack Developer | Next.js Expert
$1k+
Earned
3x
Hired
4.9
Rating
109
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Wordpress Expert 10+| Full Stack Developer | Next.js Expert
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Optimized WordPress Database (1.2GB → 300MB) – Fixed Critical Elementor Issues 🚨 Fixed a Critical WordPress Database Issue (1.2GB → 300MB) A client’s Elementor website suddenly started breaking — layouts collapsing, 502 errors, and database write failures. After investigation, I found the root cause: 👉 Database exceeded hosting limit (1GB+) 👉 postmeta table alone was ~957MB 👉 Over 800MB was unused orphan data 🔍 What I did: • Analyzed database using SQL (no blind cleanup) • Identified ~94K orphaned metadata entries • Safely removed unused postmeta records • Rebuilt the table to eliminate fragmentation • Optimized database structure ⚡ Results: • Database reduced from 1239MB → ~300MB • postmeta reduced from 957MB → 20MB • Eliminated 502 errors • Elementor saving issues fixed • Site performance significantly improved 💡 Key Insight: Most WordPress issues aren’t frontend problems — they’re database inefficiencies. 🛠️ Stack: WordPress • Elementor • MySQL • SiteGround If your site feels slow or unstable, the issue might be hidden in your database 👀
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Kajabi Personal Brand Website for Dr. Devin Vrana
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Rapyder.com (http://Rapyder.com) – Technical SEO Overhaul & High-Performance Corporate Website (95% SEMrush Site Health)
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985
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CloudEVA.ai (http://CloudEVA.ai) – High-Converting WordPress SaaS Landing Page for AI-Driven Cloud Governance Platform
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1.1K
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(1)
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Raj Kumar
Chennai, India
Algo Trading Developer - Pine Script,MQL5 &Python Automation
31
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Algo Trading Developer - Pine Script,MQL5 &Python Automation
2
Engineered a high-performance Python-based trading signal engine designed to generate precise and reliable trade signals using multi-indicator confluence logic. The system evaluates over 12 technical indicators including RSI, EMA, ADX, Volume, and trend-based conditions to identify strong market opportunities while effectively filtering out noise and false signals. The architecture is built to process real-time market data, validate multiple conditions simultaneously, and trigger only high-probability trade setups. This significantly improves signal accuracy and reduces unnecessary trades. Key capabilities include: • Multi-indicator confluence engine (12+ conditions) • Real-time signal processing and validation • False signal reduction using layered logic • Scalable architecture for integration with trading APIs • Seamless compatibility with automated execution systems (webhooks, APIs) This system can be integrated with platforms like TradingView, Tradovate, or custom trading environments to enable fully automated trading workflows — from signal generation to execution. Designed for traders and firms looking to achieve consistent, rule-based, and emotion-free trading through intelligent automation.
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Designed and implemented a robust webhook-based trading automation system that connects TradingView signals to real-time trade execution via the Tradovate API. The system is built using Python and handles signal reception, validation, and order execution in a seamless automated pipeline. The architecture ensures low-latency communication, secure data handling, and reliable execution of trades without manual intervention. It processes incoming webhook alerts, applies validation logic, and triggers precise API-based trade execution. Key features include: • Real-time webhook signal processing (TradingView alerts) • Python-based signal receiver and validation engine • Secure and reliable API integration (Tradovate) • Low-latency execution pipeline • Fully automated trade workflow (zero manual input) • Scalable design for multi-strategy integration This solution is ideal for traders and firms looking to automate their strategies using webhook-driven architecture, enabling faster execution, reduced human error, and consistent performance in live trading environments.
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Developed an automated options trading bot using Python that executes trades on Deriv based on real-time strategy signals and multi-condition validation logic. The system is designed to operate continuously with minimal latency, ensuring fast and accurate trade execution in volatile market conditions. The bot integrates signal generation, validation, and execution into a single automated workflow. It evaluates multiple technical indicators, applies strict entry conditions, and triggers trades only when high-probability setups are detected. Key features include: • Fully automated options trading (Deriv API integration) • Real-time signal processing and execution • Multi-indicator validation logic for higher accuracy • Risk management controls and trade filtering • Continuous operation with minimal manual oversight • Scalable architecture for strategy customization This solution enables traders to automate their options trading strategies end-to-end, improving consistency, speed, and discipline while eliminating emotional decision-making.
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Developed a fully automated trading system for MetaTrader 5 (MT5) that executes trades based on validated multi-indicator signals. The system integrates TradingView-generated signals with a Python-based processing engine, which evaluates multiple technical conditions before triggering precise trade execution. The Expert Advisor (EA) is designed with advanced trade logic, risk management, and real-time execution capabilities. It ensures consistent performance by removing emotional decision-making and strictly following predefined rules. Key features include: • Automated trade execution on MT5 (buy/sell orders) • Integration with external signal sources (TradingView via webhook) • Multi-indicator validation (RSI, EMA, ADX, Volume, etc.) • Built-in risk management (lot sizing, SL/TP control) • Real-time processing with minimal latency • Fully customizable strategy logic This system enables traders to automate their strategies end-to-end — from signal generation to execution — ensuring speed, accuracy, and consistency in live market conditions.
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109
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(1)
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Abdul Kadar Jailani
Chennai, India
Facebook Ads Specialist & Social Media Marketer
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Facebook Ads Specialist & Social Media Marketer
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McSport — Sports & Fitness Equipment Ireland
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5
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Facebook Ads
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8
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Personal Branding Strategy on LinkedIn
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11
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Anirudh B
Chennai, India
Innovative Web Designer & Data Analyst Expert
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Innovative Web Designer & Data Analyst Expert
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Color Detection
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16
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Exploratory Data Analysis
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9
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Business Software
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Design Minima
Chennai, India
We craft digital experiences that spark attention and drive
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We craft digital experiences that spark attention and drive
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Recent Work: We revamped the GoFloaters website to bring branding consistency and an improved mobile-responsive experience. After analyzing the existing site and collecting user feedback, we redesigned the entire interface from scratch and built a scalable design system to ensure a cohesive visual identity across all pages.
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🚀 Logo, Branding & Website Design – Rhotion From logo design to complete website creation, built a cohesive brand identity and responsive web experience from scratch. Focused on clarity, modern aesthetics, and seamless usability across all devices.
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🎨 Mobile App UI Design – MyRepublic Designed the Android and iOS app interface based on client-provided wireframes. Focused on creating a modern, intuitive, and consistent user experience, complete with interactive prototypes for seamless handoff and review.
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Visual Communication, Branding and Product Design exemplary.ai (http://exemplary.ai) (Web & Product) and Pickyourtrail.com (http://Pickyourtrail.com)
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30
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(1)
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Rajagopalan G
Chennai, India
AWS FinOps expert cutting cloud costs for 7 years
New to Contra
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AWS FinOps expert cutting cloud costs for 7 years
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AWS FinOps automation solution built using Python and cloud reporting tools to streamline cost management processes. Implemented automated billing reports, anomaly alerts, tagging compliance checks, savings trackers, and executive dashboards for real-time AWS spend visibility and continuous optimization.
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Designed and implemented an AWS cost dashboard for 200+ accounts to provide centralized spend visibility, service-wise breakdown, monthly trends, forecasting, and business-unit level reporting. Replaced manual Excel reporting with automated, interactive analytics dashboards.
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EC2 and EBS rightsizing assessment focused on reducing waste and improving cloud efficiency. Analyzed CPU, memory, storage utilization, IOPS, and throughput to identify oversized instances, underutilized volumes, and cost-saving opportunities without impacting performance.
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Delivered $1.3M+ AWS savings in 2025 through strategic FinOps initiatives including EC2 rightsizing, Savings Plans optimization, Reserved Instances, EBS cleanup, S3 optimization, and continuous governance across 200+ AWS accounts.
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26
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(1)
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Arthi Arumugam
pro
Chennai, India
Full-Stack Developer & Data Engineer | AI-Augmented Delivery
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Full-Stack Developer & Data Engineer | AI-Augmented Delivery
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Built a production-ready SaaS analytics
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Palettify — Website Color Extractor Extract
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I built Fileflip - an
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I built TaskMelt — AI-powered
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