Pratheebha Thiyagarajan

Data Analyst

Bengaluru, India 0+ yrs exp 81 · Excellent

About

Data Analyst skilled in Python, SQL, and Power BI with a strong focus on transforming raw data into actionable business insights. Experienced in exploratory data analysis, data cleaning, dashboard development, and identifying key factors behind business performance. Approach analytics by understanding the business problem first, validating insights through data, and delivering clear recommendations that support data-driven decisions. Seeking a full-time Data Analyst role focused on business intelligence, reporting, and analytical problem-solving.

Skills & Expertise (24)

Pandas Intermediate

5.5/10

0.25

Years Exp

Matplotlib Intermediate

5.5/10

0.25

Years Exp

Hypothesis Testing Intermediate

5.5/10

0.25

Years Exp

Statistical Analysis Intermediate

5.5/10

0.25

Years Exp

SQL Intermediate

5.5/10

0.25

Years Exp

Exploratory data analysis Intermediate

5.5/10

0.25

Years Exp

Python Intermediate

5.5/10

0.25

Years Exp

Power BI Intermediate

5.5/10

0.25

Years Exp

MS Excel Intermediate

5.0/10

0.25

Years Exp

Jupyter Notebook Intermediate

5.0/10

0.25

Years Exp

Plotly Intermediate

5.0/10

0.25

Years Exp

Seaborn Intermediate

5.0/10

0.25

Years Exp

NumPy Intermediate

5.0/10

0.25

Years Exp

DAX Intermediate

4.5/10

0.25

Years Exp

Data Modelling Intermediate

4.5/10

0.25

Years Exp

Window Functions Intermediate

4.5/10

0.25

Years Exp

Pivot Tables Intermediate

4.5/10

0.25

Years Exp

LOOKUP functions Intermediate

4.5/10

0.25

Years Exp

Power Query Intermediate

4.5/10

0.25

Years Exp

Subqueries Intermediate

4.5/10

0.25

Years Exp

Funnel Analysis Intermediate

4.5/10

0.25

Years Exp

Cohort Analysis Intermediate

4.5/10

0.25

Years Exp

VS Code Intermediate

4.5/10

0.25

Years Exp

Git Intermediate

4.0/10

0.25

Years Exp

Work Experience

Data Analytics Intern

Mu Sigma Inc.

Oct 2024 - Jan 2025

Analysed a 10,000+ row AbbVie pharmaceutical dataset using Python(Pandas, Matplotlib) to rank and identify top 10 Contract Research Organisations (CROs) by performance metrics through structured EDA. Reduced manual reporting effort by ~40% by building automated Power BI dashboards for weekly stakeholder reporting. Applied hypothesis testing and statistical methods to validate assumptions, improving solution accuracy for cross-functional teams.