About
Entry-level Data Analyst with a B.Sc. in Statistics Honours and hands-on project experience in data cleaning, exploratory data analysis (EDA), statistical analysis, data validation, and dashboard development. Proficient in Python, SQL, Excel, Pandas, NumPy, and Power BI, with knowledge of data modeling, data visualization, KPI reporting, and trend analysis. Able to transform raw datasets into structured reports and actionable insights to support data-driven decision-making. Interested in applying analytical and statistical skills to healthcare analytics, operational reporting, and process improvement.
Skills & Expertise (38)
Work Experience
Data Analyst
GitHub Profile
In Progress - Present
Analyzing 50,000 orders across 5,000 customers and 500 products to investigate revenue trends, customer activity, returns, and product performance. Identified a 46.6% revenue decline in the South region, from 6.6 crore to 3.52 crore, between December 2025 and April 2026. Observed a 33.3% decline in active customers, from 463 to 309, highlighting a trend for further investigation. Examining interconnected datasets to identify patterns and communicate insights through analytical reporting and visualization.
Data Analyst
GitHub Profile
Aug 2026 - Sep 2026
Developed an interactive dashboard using credit card transaction and customer data to examine financial KPIs and transaction trends. Designed visual reports to monitor performance indicators and identify patterns in customer activity. Summarized analytical findings to support reporting and data-driven decision-making.
Data Analyst
GitHub Profile
Aug 2026 - Sep 2026
Cleaned and transformed a multi-table dataset using Power Query, standardizing column names and data types and addressing data inconsistencies. Established relationships between tables to create a structured data model for reporting and visualization. Prepared a consistent, analysis-ready dataset to support reporting accuracy and business insights.
Data Analyst
GitHub Profile
Jul 2026 - Aug 2026
Analyzed sales data across Sales, Products, and Customers relational tables to identify business trends. Wrote SQL queries using joins, filters, and aggregations to evaluate sales performance, product performance, and customer purchasing behavior. Extracted and interpreted relevant metrics to support reporting and analytical decision-making.
Education
B.Sc. in Statistics Honours - St. Xavier’s College, Ranchi
- 2026 · Afghanistan
Certifications
Power BI for Beginners
Simplilearn, Powered by Microsoft · 2026
Introduction to MS Excel
Simplilearn, Powered by Microsoft · 2026
Data Analyst 101
Simplilearn · 2026
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Citizen
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Open to Relocation
Skills (38)
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