Data Analyst with less than a year in Data Analysis & Visualization
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Assessing your cultural and operational fit
Aspiring Data Analyst with strong skills in Python, SQL, Excel, and Power BI and practical experience in data cleaning, exploratory data analysis (EDA), and data visualization. Skilled in analyzing structured datasets, creating dashboards, and generating actionable insights to support business decisions. Passionate about using data to solve real-world problems.
G H Raisoni College of Engineering and Management
Bachelor of Technology · Electronics and Telecommunications
N/A – June 30, 2025
Greateway Software Pvt. Ltd.
Data Analyst
November 1, 2025 – Present
Pune, Maharashtra, India
Warehouse Management System (WMS) Analysis
June 17, 2026 – Present
Worked on a Warehouse Management System project for inventory tracking, order processing, and financial data analysis. Cleaned and preprocessed datasets using Python (Pandas) and Excel by handling missing and inconsistent data. Wrote SQL queries using JOINs, aggregations, and filtering for data extraction and analysis. Built data pipelines using Python and MySQL and performed data validation and reconciliation. Developed Power BI dashboards and automated reports using Advanced Excel for real-time business insights. Improved reporting efficiency and reduced manual effort by 40% through automation and streamlined workflows.
Financial Transaction Analysis & Fraud Detection - Python
June 17, 2026 – Present
Analyzed a financial transaction dataset containing 5,000+ records using Python to understand customer transactions and potential fraud patterns. Performed data cleaning and preprocessing using Pandas, including handling missing values, removing duplicates, and correcting data types. Conducted Exploratory Data Analysis (EDA) to examine transaction amounts, payment methods, and demographic patterns. Used Pandas and NumPy for data manipulation and aggregation to calculate average transaction values and fraud distribution. Created data visualizations using Matplotlib and Seaborn such as transaction trends, fraud distribution, and correlation heatmaps. Generated business insights by identifying high-risk transactions, active customer age groups, and dominant markets.
Data Analyst Certification
Fusion Software Institute
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including financial transaction analysis and warehouse management, indicates adaptability and a broad interest in applying data analysis across different domains. Their stated passion for using data to solve real-world problems aligns with a results-oriented and innovative culture. The current role as a Data Analyst and the certification further reinforce their commitment to the field.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to problem-solving through data analysis and automation. Their experience in collaborating to understand business requirements suggests good teamwork and communication skills. The focus on improving efficiency and accuracy aligns well with operational excellence.