Freelance Data Analysts in Tamil Nadu
Freelance Data Analysts in Tamil Nadu
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HASAN ABDUL KATHER M
Thoothukudi, India
Data Analyst | Power BI | Tableau | SQL | Python | Excel
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Data Analyst | Power BI | Tableau | SQL | Python | Excel
1
Developed an interactive HR Analytics Dashboard in Tableau to help organizations monitor workforce performance and employee trends. The dashboard provides insights into employee count, attrition rate, active employees, department-wise attrition, age distribution, education field analysis, job satisfaction ratings, and gender-based attrition. Interactive filters enable users to analyze data by department and education level, supporting data-driven HR decisions. This project demonstrates expertise in Tableau dashboard development, data visualization, KPI reporting, and business analytics.
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Created an interactive Tableau dashboard to analyze customer reviews and satisfaction for British Airways. The dashboard presents key performance metrics, including overall ratings, cabin staff service, entertainment, food, seat comfort, value for money, and ground service. It features interactive filters for traveller type, seat class, aircraft type, continent, and date range, along with trend analysis, geographic visualizations, and aircraft performance comparisons. This project showcases advanced Tableau visualization techniques and business intelligence reporting.
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Developed a dynamic Coffee Sales Dashboard in Microsoft Excel to analyze sales performance across products, countries, customer segments, and time periods. The dashboard features interactive slicers, sales trend analysis, top customer insights, country-wise sales comparisons, roast type analysis, loyalty card segmentation, and product size filters. Built using Pivot Tables, Pivot Charts, Slicers, Lookup Functions, and advanced Excel features, this project provides meaningful business insights through professional and interactive reporting.
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Designed and developed an interactive Call Centre Dashboard in Microsoft Excel to monitor key business metrics and agent performance. The dashboard provides insights into total calls, revenue generated, call duration, customer ratings, representative performance, call trends, regional performance, and customer satisfaction. Built using Pivot Tables, Pivot Charts, Slicers, Conditional Formatting, and advanced Excel functions, this dashboard enables users to filter data dynamically and make informed business decisions through clear and interactive visualizations.
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84
Data Analyst
(8)
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Sharon Selvaraj
Thoothukudi, India
I help businesses grow with data insights and tools.
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I help businesses grow with data insights and tools.
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Motor Insurance Analysis Dashboard
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7
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Pizza Sales Analysis Dashboard
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3
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Data Analysis Projects Collection
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4
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Data Analyst
(3)
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ROHAN MISHRA
Madurai, India
i will create custom dashboard
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i will create custom dashboard
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Rohan30082004/AMAZON
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3
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Rohan30082004/chocolate
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8
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Rohan30082004/blinkit-power
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5
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Data Analyst
(3)
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Lakshitha A
Madurai, India
Data Scientist | Data Analyst | BI Developer
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Data Scientist | Data Analyst | BI Developer
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Spiking-Neural-Network-Simulation-for-Pattern-Recognition
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9
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EDA and Feature Engineering with Zomato Dataset
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5
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3D-Volume-Generation-from-Rectangles
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6
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(2)
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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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1
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GSK PharmaTech
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1
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MARS Petcare
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2
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Harsh Modi
Salavankuppam, India
Data Insights & Business Strategy Expert
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Data Insights & Business Strategy Expert
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Retail Store Clustering
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14
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Supply Chain Evaluation
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15
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Strategic Investment and Startup Insights Using Tableau
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3
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(3)
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Nagaraj M
Chennai, India
Wordpress Expert 10+| Full Stack Developer | Next.js Expert
$1k+
Earned
3x
Hired
5.0
Rating
136
Followers
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Wordpress Expert 10+| Full Stack Developer | Next.js Expert
4
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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859
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Kajabi Personal Brand Website for Dr. Devin Vrana
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Custom WordPress Website Development for Spectarc
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9
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Zehen Music WordPress Website Development
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10
Data Analyst
(1)
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Raj Kumar
Chennai, India
Algo Trading Developer - Pine Script,MQL5 &Python Automation
39
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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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124
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(1)
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