Freelance Data Analysts in Tamil Nadu

Freelance Data Analysts in Tamil NaduFreelance Data Analysts in Tamil Nadu

Projects People

Sharon Selvaraj

Thoothukudi, India

I help businesses grow with data insights and tools.

I help businesses grow with data insights and tools.

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Motor Insurance Analysis Dashboard

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Pizza Sales Analysis Dashboard

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Data Analysis Projects Collection

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Data Analyst(3)

i will create custom dashboard

i will create custom dashboard

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Rohan30082004/AMAZON

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Rohan30082004/chocolate

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Rohan30082004/blinkit-power

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Data Analyst(3)

Data Scientist | Data Analyst | BI Developer

Data Scientist | Data Analyst | BI Developer

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Spiking-Neural-Network-Simulation-for-Pattern-Recognition

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EDA and Feature Engineering with Zomato Dataset

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3D-Volume-Generation-from-Rectangles

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Data Analyst(2)

Transforming Data into Interactive Dashboards

Transforming Data into Interactive Dashboards

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Dairy Farmers of America

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Data Analyst(2)

Salavankuppam, India

Data Insights & Business Strategy Expert

Data Insights & Business Strategy Expert

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Retail Store Clustering

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Supply Chain Evaluation

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Strategic Investment and Startup Insights Using Tableau

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Data Analyst(3)

proChennai, India

Wordpress Expert 10+| Full Stack Developer | Next.js Expert

$1k+: Earned

3x: Hired

4.9: Rating

109: Followers

Wordpress Expert 10+| Full Stack Developer | Next.js Expert

Cover image for Optimized WordPress Database (1.2GB →

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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Data Analyst(1)

Algo Trading Developer - Pine Script,MQL5 &Python Automation

31: Followers

Algo Trading Developer - Pine Script,MQL5 &Python Automation

Cover image for Engineered a high-performance Python-based trading

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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Cover image for Designed and implemented a robust

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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Cover image for Developed an automated options trading

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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Data Analyst(1)

Abdul Kadar Jailani

Facebook Ads Specialist & Social Media Marketer

Facebook Ads Specialist & Social Media Marketer

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McSport — Sports & Fitness Equipment Ireland

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Personal Branding Strategy on LinkedIn

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Data Analyst(1)