Poorvi Chandra

Aspiring Data Analyst

Bengaluru 1+ yrs exp 82 · Excellent

About

Aspiring Data Analyst with 1 year of practical experience exposure in Data Analytics. Experienced in data cleaning, data visualization, reporting, and statistical analysis using tools such as SQL, Excel, Power BI, Tableau and Python. Adept at transforming raw data into meaningful insights and creating interactive dashboards to support business objectives. Strong analytical mindset, problem-solving abilities, and a passion for leveraging data to drive informed decision-making.

Skills & Expertise (59)

Power BI Intermediate

6.5/10

Years Exp

Data Visualization Intermediate

6.5/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

Excel Intermediate

6.0/10

Years Exp

Tableau Intermediate

6.0/10

Years Exp

Data Cleaning Intermediate

6.0/10

Years Exp

Reporting Intermediate

6.0/10

Years Exp

Data Extraction Intermediate

6.0/10

Years Exp

Python Intermediate

5.5/10

Years Exp

Statistical Analysis Intermediate

5.5/10

Years Exp

Data Wrangling Intermediate

5.5/10

Years Exp

relational databases Pandas Insight Generation Business Reporting Exploratory data analysis Basic Statistical Analysis Data Transformation Seaborn Matplotlib NumPy Continuous Learning Data retrieval Analytical Thinking Problem-solving Attention to Detail Communication Stakeholder Reporting SQL Query Optimization Business insight generation Effective Communication Team Collaboration Time management Adaptability Conditional Formatting Querying Joins Subqueries CTEs Views Aggregations Database Management Pivot Tables Pivot Charts VLOOKUP XLOOKUP Index-match Report Publishing Data Validation Power Query Dashboard Creation Data Modelling DAX Interactive Dashboards Report Development KPI Tracking Calculated Fields Filters Parameters

Work Experience

Data analyst - Operations Associate

WNS Global Services

Jan 2024 - Feb 2025

Data Cleaning & Preparation: Extracted, cleaned, and validated insurance claims, policy, and customer data from Oracle DB using SQL for accurate reporting. Dashboard Development: Built interactive dashboards in Power BI and Tableau to track claims processing, policy renewals, and fraud trends for management. Data Visualization: Created KPI reports and visualizations to monitor loss ratios, premium collection, and customer retention across business lines. SQL & DB Support: Wrote complex SQL queries to pull data from Oracle DB and automate monthly/quarterly MIS reports for insurance operations. Business Insights: Analyzed policy and claims data to identify patterns, reduce processing time, and support decision-making for underwriting and sales teams. Stakeholder Coordination: Collaborated with business teams to gather requirements and translate them into reports/dashboards for better operational efficiency. Reviewing and investigating insurance claims with a strong focus on accuracy and fairness.