class Parthiban:
    def __init__(self):
        self.name = "Parthiban T"
        self.role = "Data Analyst"
        self.location = "Bengaluru, India"
        self.degree = "B.A. (Major in English), Yadava College, Madurai"
        self.stack = [
            "Python", "SQL", "Power BI",
            "Tableau", "Excel", "MySQL", "Jupyter Notebook"
        ]
        self.currently_learning = [
            "Advanced SQL & Query Optimization",
            "Statistics for Data Analysis",
            "Machine Learning Fundamentals"
        ]
        self.fun_fact = "Turned a HR attrition dataset into a workforce planning story."
        self.certification = "Crio Fellowship — NextGen Data Analytics with AI"

    def motto(self):
        return "Clean data. Clear story. Confident decisions."

me = Parthiban()
print(me.motto())

Languages

Data Visualization

Database

Tools

---

💼 Work Experience

AV and IT Support Engineer — Puthur Infotech (Client: ANZ), Bengaluru

HR Analytics Dashboarding Asset Databases Reporting

• Performed end-to-end employee attrition analysis by cleaning HR data, building dashboards, and delivering actionable workforce-planning insights.
• Managed enterprise IT and AV asset databases, ensuring accurate lifecycle tracking and data integrity.
• Created operational reports to monitor system performance and support resource planning.
• Collaborated with technical teams to troubleshoot infrastructure issues and document solutions; tracked service delivery metrics to maintain efficient IT operations.

IT Support Engineer & Operations Specialist — SII Group India, Bengaluru

SLA Monitoring Trend Analysis Audit & Compliance Process Improvement

• Analysed service desk ticket data to monitor SLA compliance and support performance.
• Identified incident trends and recommended process improvements to enhance operational efficiency.
• Supported audit and compliance activities through data validation, log analysis, and documentation management.
• Collaborated with stakeholders to implement operational improvements and streamline processes.

---

🚀 Featured Projects

Project	Stack	Highlights
Retail Sales Analysis Dashboard	Power BI	Analyzed global e-commerce performance using Decomposition Trees, Key Influencers & Waterfall charts; mapped customer journey via conversion funnel and tracked trends with Ribbon/Combo charts
Food Delivery Dashboard	Power BI	Transformed raw delivery data into actionable insights covering sales, delivery efficiency, customer demographics, and order types
Financial Risk Analysis Dashboard	Excel (Pivot Tables, Pivot Charts, Slicers, KPI Cards)	Analyzed loan portfolio performance, default risk, and credit score evaluation to support data-driven lending decisions
Employee Attrition Analysis	Python / Excel	Cleaned HR data and built dashboards to deliver actionable workforce-planning insights
Mutual Fund Plan Analysis	Python	Python-based analysis of mutual fund plans to support investment decision-making
IT Expenditure Variance Analysis	Excel	Variance analysis (Actual vs Forecast vs Planned) across business areas and countries to surface budget deviations and cost-optimization opportunities
ChatGPT Reviews Analysis	Python (NLP)	Analyzed 190,000+ customer reviews for sentiment distribution and extracted negative-keyword trends to guide product improvement

Additional Mini Project

• Coke Sales Performance Analysis — Cleaned & transformed ~4,000 sales records; analyzed sales, profit, and margins across states and brands using Pivot Tables and charts.

---

🏆 Achievements

🎖️	Achievement	Details
📊	Certification	Crio Fellowship in NextGen Data Analytics with AI, Crio.Do
📊	Certification	Deloitte Australia Data Analytics Job Simulation, Forage
🧹	Data Cleaning at Scale	Cleaned & transformed ~4,000 sales records for accuracy and consistency
💬	Large-Scale Text Analysis	Processed 190,000+ customer reviews for sentiment & pain-point discovery
💻	Open Source Portfolio	7 published data analytics projects across Power BI, Excel & Python

---

🎓 Education

Degree	Institution	Location
Bachelor of Arts (Major in English)	Yadava College	Madurai

🌱 Currently Learning

📈 Advanced SQL       → Window Functions, Query Optimization
📊 Statistics         → Hypothesis Testing, Regression
🤖 Machine Learning    → Fundamentals for Predictive Analytics

---

📫 tparthi2807@gmail.com  |  📍 Bengaluru, India  |  GitHub