Data Analyst · Dhanbad, Jharkhand
Turning raw
rows into
real decisions.
A data analyst fresher who builds data cleaning pipelines, interactive dashboards, and business analysis in SQL, Python, Excel, and Power BI — currently finishing a B.Tech in CSE.
01 · Summary
A little about how I work
I'm a data analyst fresher based in Dhanbad, skilled in SQL, Python, Excel, and Power BI, with hands-on experience building data cleaning pipelines, interactive dashboards, and business analysis projects. I'm looking to launch a data analyst career and grow through practical, real-world problem solving — the kind where a messy spreadsheet turns into a dashboard someone actually uses to make a call.
- LocationDhanbad, Jharkhand, India
- EducationB.Tech, CSE — ITER, Siksha 'O' Anusandhan
- GraduatingJune 2026 · CGPA 7.7/10
- Core stackSQL · Python · Power BI · Excel
- Currently learningAdvanced SQL, Statistics, Power BI
- Open toData Analyst / BI Analyst roles
Selected work
Three flagship dashboards from the resume, plus the wider project archive on GitHub.
PROJECT / 01
E-Commerce Sales Dashboard
Power BI · DAX · Power Query · Excel
- Built an interactive Power BI dashboard analyzing sales performance across products, customers, and regions with dynamic KPIs and business metrics.
- Designed a scalable data model — multiple tables, relationships, and DAX measures — for accurate business insights.
- Added drill-through reports, slicers, and filters so users can explore sales trends and customer behavior efficiently.
- Visualized revenue, profit, and order trends via KPI cards, bar/line charts, maps, and scatter plots.
PROJECT / 02
Vrinda Store Sales Data Analysis
Excel · Pivot Tables · Pivot Charts · Slicers
- Analyzed 31,000+ retail sales records to uncover customer purchasing behavior, regional performance, and product-wise trends.
- Built an interactive Excel dashboard using Pivot Tables, Pivot Charts, Slicers, and Conditional Formatting to automate reporting.
- Cleaned, validated, and aggregated raw sales data, improving reporting accuracy across multiple business dimensions.
- Surfaced high-performing customer segments, states, and sales channels to support data-driven decisions.
PROJECT / 03
Credit Card Financial Dashboard
Power BI · PostgreSQL · DAX
- Built a Power BI dashboard on transaction and customer data from a SQL database covering 10,000+ records for real-time financial insight.
- Streamlined data pipelines, cutting manual reporting effort by 40% while tracking 15+ key performance metrics.
- Built dynamic DAX measures and KPI cards for revenue, delinquency, and customer segmentation — lifting reporting accuracy by 25%.
- Shared findings with stakeholders, enabling 20% faster identification of at-risk accounts.
Interactive Power BI dashboard analyzing Blinkit's retail sales, outlet performance, inventory distribution, and customer satisfaction using Power Query and DAX.
End-to-end analytics project — PostgreSQL for storage and SQL querying, Power BI for a two-page dashboard tracking revenue, orders, and top/bottom performers.
Power BI dashboard analyzing employee attrition across 1,470 employees — uncovering drivers by age, job role, education, and tenure for HR retention strategy.
Exploratory analysis of Uber trip data — patterns in ride demand, timing, and trip behavior.
Additional visualizations and vizzes published on Tableau Public.
The full archive of dashboards, scripts, and data experiments on GitHub.
Skills
The toolkit behind every dashboard above.
- Python
- SQL
- Power BI
- Excel
- Tableau
- DAX
- Power Query
- Pandas
- NumPy
- Matplotlib
- scikit-learn
- PostgreSQL
- MySQL
- Git
- GitHub
- Jupyter Notebook
Education
Bachelor of Technology in Computer Science and Engineering
Siksha 'O' Anusandhan University (ITER) · Nov 2022 – June 2026
Certifications
Data Analytics Essentials
Cisco Networking Academy
Data Analytics and Visualization Job Simulation
Accenture North America, via Forage
Get in touch
Let's talk data.
Open to Data Analyst and BI Analyst roles — happy to walk through any dashboard above, or start a new one.