Joykiran Chakraborty

Aspiring Data Analyst

Paschim Bardhaman, West Bengal 70 · Very Good

About

Aspiring Data Analyst with hands-on experience in Python, SQL, PostgreSQL and Power BI, specializing in data cleaning, exploratory data analysis (EDA), data visualization and dashboard development. Experienced in transforming raw datasets into meaningful business insights through statistical analysis and interactive reporting. Completed multiple end-to-end analytics projects involving data preprocessing, SQL database management, feature engineering and Power BI dashboards. Additionally possess practical knowledge of web development, enabling a strong understanding of complete data workflows from data collection to visualization. Passionate about solving business problems using data and continuously expanding expertise in Analytics and Business Intelligence.

Skills & Expertise (32)

Python Advanced

8.0/10

Years Exp

Microsoft Excel Advanced

8.0/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

Adaptability Intermediate

7.0/10

Years Exp

Effective Communication Intermediate

7.0/10

Years Exp

Team Collaboration Intermediate

7.0/10

Years Exp

Analytical Thinking Intermediate

7.0/10

Years Exp

Power BI Intermediate

7.0/10

Years Exp

Problem Solving Intermediate

7.0/10

Years Exp

Data-driven decision making Intermediate

7.0/10

Years Exp

Jupyter Notebook Intermediate

7.0/10

Years Exp

Data Cleaning Intermediate

7.0/10

Years Exp

Statistical Analysis Intermediate

6.5/10

Years Exp

Leadership Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

GitHub JavaScript Pandas NumPy Matplotlib Seaborn Microsoft Word Microsoft PowerPoint XAMPP Exploratory data analysis Postgresql VS Code MySql Feature Engineering Dashboard Development SQLite3 Data Visualization

Work Experience

Data Analytics Intern

Ebluesoft Infotect Solutions Pvt. Ltd.

Present - Present

Performed data cleaning, preprocessing, and exploratory data analysis (EDA) on structured datasets using Python (Pandas, NumPy) to improve data quality and extract meaningful insights. Analyzed datasets using SQL to retrieve, filter, and summarize business information for analytical reporting. Created insightful data visualizations using Matplotlib and Seaborn to identify trends, patterns, and key performance indicators. Developed interactive Power BI dashboards to present analytical findings and support data-driven decision-making. Collaborated with mentors and team members to solve analytical problems while following industry-standard data analysis workflows and documentation practices.