Aakanksha

Data Analyst

Bhubaneswar 0+ yrs exp 82 · Excellent

About

Data Analyst with hands-on experience in Python, SQL, Excel, Power BI, data cleaning, data wrangling, exploratory data analysis (EDA), statistical analysis, and data visualization. Skilled in transforming raw data into actionable insights using Pandas, NumPy, Matplotlib, Seaborn, SQL queries, and interactive Power BI dashboards. Knowledge of A/B testing, trend analysis, KPI reporting, business intelligence, and data storytelling, with strong analytical, problem-solving, and communication skills.

Skills & Expertise (31)

Python Advanced

8.1/10

Years Exp

Pandas Advanced

8.1/10

Years Exp

NumPy Advanced

8.1/10

Years Exp

Exploratory data analysis Advanced

8.1/10

Years Exp

SQL Advanced

7.8/10

Years Exp

Seaborn Advanced

7.8/10

Years Exp

Matplotlib Advanced

7.8/10

Years Exp

A/B testing Advanced

7.8/10

Years Exp

Trend Analysis Advanced

7.8/10

Years Exp

Statistical Analysis Advanced

7.8/10

Years Exp

Data Manipulation Advanced

7.8/10

Years Exp

Data Wrangling Advanced

7.8/10

Years Exp

Data Cleaning Advanced

7.8/10

Years Exp

Descriptive Statistics Advanced

7.8/10

Years Exp

MySql Advanced

7.5/10

Years Exp

Windows Advanced

7.5/10

Years Exp

LINUX Advanced

7.5/10

Years Exp

Google Colab Advanced

7.5/10

Years Exp

VS Code Advanced

7.5/10

Years Exp

GitHub Advanced

7.5/10

Years Exp

Git Advanced

7.5/10

Years Exp

SQLite Advanced

7.5/10

Years Exp

Postgresql Advanced

7.5/10

Years Exp

Excel Advanced

7.5/10

Years Exp

Data Storytelling Intermediate

6.8/10

Years Exp

KPI Reporting Intermediate

6.8/10

Years Exp

Dashboard Development Intermediate

6.8/10

Years Exp

Tableau Intermediate

6.8/10

Years Exp

Power BI Intermediate

6.8/10

Years Exp

GCP Intermediate

6.5/10

Years Exp

IBM Cloud Intermediate

6.5/10

Years Exp

Work Experience

Data Analyst Intern

QSpiders

Dec 2025 - Present

Cleaned and processed 10,000+ records using Python, Pandas, and NumPy to improve data quality and consistency. Performed exploratory data analysis (EDA) to identify trends, patterns, anomalies, and relationships within structured datasets. Used SQL for data querying, manipulation, filtering, and analytical analysis. Created analytical visualizations using Matplotlib and Seaborn to communicate data-driven findings. Applied statistical analysis to evaluate performance metrics, trends, and patterns in datasets. Translated analytical results into actionable data-driven insights to support informed decision-making.