Analytics, built like a structure
Every dashboard needs
a load-bearing foundation.
DataVedh is an analytics practice run by a civil engineer who now builds with data instead of concrete. Same discipline — a solid foundation, sound structure, honest finish — applied to SQL, Power BI, and the numbers your business runs on.
Data cleaning & validation
Raw exports, messy spreadsheets, duplicate records — sorted, de-duped, and checked before anything gets built on top.
SQL analysis & modelling
CTEs, window functions, and joins that answer the actual business question — not just describe the data.
Power BI / Tableau dashboards
A finished, load-tested dashboard your team can open Monday morning and actually use.
About
From site drawings to data models.
A 2025 civil engineering graduate from Bihar, now working full-time in data analytics — SQL, Power BI, Python, and Excel. The engineering background isn't a footnote; it's the reason the analysis holds up under scrutiny.
01
Structural thinking
Engineering trains you to check load paths before you trust a structure. Same instinct applied to a churn model or a pricing dashboard.
02
Built for SMEs
No enterprise jargon, no 40-tab workbooks. Dashboards and reports sized for teams that need clear answers, fast.
03
Sector fluency
Particular strength reading construction, infrastructure, and real estate data — domains most analysts have never set foot in.
Services
What gets built.
Dashboard design & build
POWER BI / TABLEAUKPI dashboards with proper DAX measures — churn, retention, revenue, ops — built to be read in under a minute.
SQL data analysis
MYSQLAnswering specific business questions from raw tables: leakage, cohort behaviour, pricing anomalies, and more.
Excel & MIS reporting
EXCELPivot-table-driven reporting systems for teams that live in spreadsheets and need them to work harder.
Python-based analysis
PANDAS / SCIKIT-LEARNExploratory analysis and lightweight predictive models when a spreadsheet isn't enough.
Selected work
Projects, with real numbers.
Customer Churn & Revenue Impact Analysis
SQL · POWER BI · 100K+ RECORDS
Identified a 33% churn rate driving over ₹99M in revenue loss across 100K+ customer records. High-value customers accounted for 86% of total losses — segmented by contract type, tenure, and monthly charges, with a Power BI dashboard tracking churn rate, LTV, and retention KPIs.
View on GitHub →Revenue Leakage & Pricing Optimization
SQL · POWER BI · FOOD DELIVERY DATASET
Detected ₹3.32M in revenue leakage (~10% of ₹29.85M total revenue) using reverse pricing logic built in SQL CTEs. Mumbai, Hyderabad, and Chennai flagged as the highest-leakage cities, with an interactive city-level drill-down dashboard.
View on GitHub →E-commerce Returns & Delivery Analysis
SQL · PYTHON · POWER BI · 1M ROWS
A synthetic 1M-row e-commerce dataset analysed for return drivers and delivery performance — the latest DataVedh project, built end-to-end with a full README and reproducible pipeline.
View on GitHub →HR Attrition Cost Intelligence
EXCEL · SQL · IBM HR DATASET
Employee attrition cost analysis on the IBM HR dataset — surfacing which departments and roles carry the highest replacement cost, built in Excel and SQL.
View on GitHub →Have a dataset that needs a foundation?
Free first dashboard sample from your own data — no cost, no obligation. If it's useful, we build from there.