Senior data analytics professional · New York

I turn complex
data into clear
decisions.

I’m Tanvi, an analytics leader with 7+ years of experience building enterprise BI, automation, and data solutions that create measurable business impact.

SQL · Python · Snowflake · Power BI · Tableau · Alteryx

7+years across consulting, healthcare, retail, and finance
30+enterprise data sources unified into one trusted platform
6M+records analyzed annually in enterprise engagements

A little about me

Business-minded.
Technically fluent.

I work at the intersection of data, technology, and business strategy. My job is not simply to build a dashboard—it’s to understand the decision behind it and make the path forward visible.

I’ve partnered with executives, finance leaders, operators, and technical teams to turn complex data into trusted systems, sharper questions, and measurable results.

MS, Information SystemsStevens Institute of Technology · GPA 3.7

Selected work

Impact, in numbers.

A few examples of how I’ve used analytics, automation, and business context to create meaningful outcomes.

Project 01
80 → 2hours

Automated a critical validation process

Built a Python and Alteryx workflow that cut manual effort by roughly 98% while strengthening audit readiness.

Project 02
ROOT CAUSEillustrative investigation

Found what was really driving the problem

Used exploratory and drill-down analysis to move from a broad performance question to a focused, actionable insight.

Project 03
8M+records

Made operational data decision-ready

Delivered reporting and KPI frameworks that helped hospital leaders accelerate decisions by up to 85%.

How I turn data into decisions

AutomateInvestigateCommunicate

Three ways I make complex data useful.

Eliminate repetitive work, find the real drivers, and translate complexity into clear decision support.

01 · Automate

Automated a critical validation process

80 → 2hours
01Before
CSVXLSDB
Manual reconciliationManual QAFinal output
~80hours of manual effort
What I builtAutomated
workflow
Python · Alteryx · SQL
StandardizeMatchValidateFlag exceptions
Automated output
03After
Automated validationExceptions surfacedHuman reviews exceptions onlyTrusted output
~2hours

~98% less manual effort

02 · Investigate

Found what was really driving the decline

Analytical investigationWhat changed—and where should the team look first?
01Spot the signal
94%87%
94%Jan
94%Feb
93%Mar
92%Apr
89%May
87%Jun
02Test dimensions
RegionStable
ChannelStable
Customer segmentModerate
Product categorySignificant ↗
03Follow the anomaly
A93%
B91%
C72%
D90%
Category C
Existing customers88%
New customers61%

Illustrative investigation using synthetic data.

03 · Communicate

Made operational data decision-ready

8M+records
ComplexityClarityDecision
Before Fragmented sources · inconsistent definitions · difficult comparisonAfter One model · trusted KPIs · one executive view
01Data sources
OPSFINCRM
Multiple operational sources
02SQL + data model
FACTKPIDIM
Clean · joined · structured
03KPI layer
VolumeRateTrendOpportunity
One trusted definition
Executive overviewIllustrative dashboard · synthetic data
Q4
Total volume24.8K↑ 8.4%
Performance94.2%↑ 2.1 pts
YoY change+12.6%on target
Opportunity$1.2Mmodeled
Performance trend
JanSep
Category mix
A    B    C
Actual vs target
94.2%Target 92%
Decision supportOne clear view for faster, more confident decisionsMillions of records → trusted KPIs

Dashboard values are illustrative and use synthetic data.

Analytics Lab

Interested in seeing more?

Explore the Analytics Lab to interact with dashboards and see more examples of my work in action.

Explore Analytics Lab

Experience

Built across industries.

From global consulting to healthcare operations, each role has strengthened how I connect technical execution with business outcomes.

012022 — Present

Senior Analytics Consultant

Protiviti · New York

Leading enterprise analytics engagements, executive KPI strategy, SQL data modeling, BI delivery, and high-impact automation across millions of records.

022021 — 2022

Analytics Consultant

DataDrive · Minneapolis

Consolidated 30+ data sources into Snowflake and delivered scalable pipelines and Tableau analytics for sales, pricing, and CPG teams.

032020 — 2021

Business Intelligence Engineer

Holy Name Medical Center · New Jersey

Built executive dashboards, predictive models, and operational automation supporting hospital leadership across 8M+ records.

042019

Business Intelligence Analyst

CGS · New York

Created retail BI solutions for 13 clients, contributing to stronger sales, inventory turnover, and product availability.

052017 — 2018

Data Analyst

Accenture · Mumbai

Delivered enterprise ETL enhancements and optimized SQL processing performance by 30% for financial systems.

Capabilities

What I bring
to the table.

Analytics & BI

Power BI · Tableau · KPI strategy · Executive reporting

Data engineering

SQL · Snowflake · Data modeling · ETL / ELT · APIs

Automation

Python · Alteryx · Workflow design · Quality controls

Leadership

Stakeholder management · Requirements · Mentoring · Storytelling

One more thing

Like what I’ve
done so far?

I also help growing teams solve focused analytics problems—without the overhead of a large consulting engagement.

Dashboards & KPI designReporting automationData cleanup & modelingAnalytics advisory

Not sure what you need? That’s exactly what the first conversation is for.

Book a free 30-minute consultation