AG Anshul Gedam
Business Intelligence & Analytics Engineer · Seattle, WA

Anshul Gedam

Turning messy enterprise data into decisions.

I design and build the planning, forecasting, and analytics platforms that finance and marketing teams run on: SQL, dbt, Azure Data Factory, Snowflake, Tableau/Power BI. Six years, Fortune 500 clients, and a habit of cutting cycles and saving six figures.

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0%
faster enterprise
planning cycles
$0K
annual cost saved
on a single platform
0M+
customers analyzed
across their lifecycle
$0M+
in revenue shaped
by the analytics
01
Selected Work

Platforms that paid for themselves.

CASE 01

Enterprise Forecasting & Budgeting Platform

National construction enterprise · via Kepion
planning cycle · before → after −90%
Problem
Bottom-up budgeting ran manually across the enterprise: slow cycles, thin executive visibility, and no audit trail for a SOX-regulated business.
Approach
Led the end-to-end design and build of a Bottom-Up Forecasting & Budgeting platform: SQL, Azure Data Factory ETL, and dimensional modeling on Kepion, integrated directly with SAP and enterprise financial systems, with audit and governance baked in.
Impact
A 90% shorter planning cycle, ~200 manual hours eliminated every month, and finance leadership finally working from real-time, auditable numbers.
90%cycle time cut
$240Ksaved / year
SOXcompliant & auditable
SQLAzure Data FactoryKepionSAP integrationDimensional modeling
CASE 02

Customer-Lifecycle Analytics Platform

Global professional network · via Blend
retention · 1M+ customers
Problem
Customer-journey data was fragmented across business units, so retention decisions were made half-blind.
Approach
Built a customer-lifecycle analytics platform (SQL, Apache Airflow, HDFS, Tableau) and a propensity scoring model (logistic regression, Python), partnering with Product, Sales, and Customer Success on self-service dashboards.
Impact
Powered lifecycle decisions for 1M+ customers representing $500M in ARR, lifted renewals, and cut data-quality issues by 60%.
1M+customers
$500MARR influenced
+5%YoY renewals
−60%data-QA issues
SQLApache AirflowHDFSTableauPythonPropensity modeling
CASE 03

Enterprise Marketing Data Warehouse

North-American distributor · via Kepion
star schema · 100+ users
Problem
Company-wide marketing planning had no single source of truth. Budgeting was manual, costly, and hard to trust.
Approach
Architected a company-wide marketing planning & budgeting platform: ETL, an enterprise data warehouse, dimensional models, forecasting, and analytics.
Impact
A mission-critical app used daily by 100+ business users, managing ~$5M in annual marketing investment and cutting planning costs ~$200K a year.
100+daily users
$5Mspend managed
$200Ksaved / year
ETLData warehouseDimensional modelingForecasting
02
How I work

From raw tables to a decision someone trusts.

I sit where data engineering meets the business question, modeling the pipelines, then telling the story clearly enough that a finance leader acts on it. Calm, precise, and allergic to a dashboard nobody uses.

Languages
SQL, T-SQL, Python, R, HiveQL
Data eng / ETL
dbt, Azure Data Factory, Apache Airflow, SSIS, Apache Spark, Trino, Databricks
Warehousing
Snowflake, MS SQL Server, PostgreSQL, SSAS, Hadoop
BI / Viz
Tableau, Power BI (DAX), Looker Studio, Adobe & Google Analytics
Planning / EPM
Kepion, SAP ERP integration, FP&A, dimensional modeling, SOX
Cloud / DevOps
Azure, AWS, Azure DevOps (CI/CD), Git
Certifications
MS Fabric Analytics Engineer Associate ↗ · Tableau Desktop Specialist ↗
03
Experience

Six years, five teams, one throughline.

2024 – Now
Business Intelligence & Analytics Engineer · Kepion Seattle, WA
Enterprise planning, forecasting & reporting platforms for Fortune 500 clients: SQL, Azure Data Factory, Kepion, SAP integration, and CI/CD.
2021 – 2024
Senior Business Intelligence Analyst · Blend Columbia, MD
Marketing & customer-lifecycle analytics for LinkedIn, AmeriSave & Comcast: SQL, Snowflake, Tableau, and Python propensity models.
2021
Data Analytics Specialist · Peak Activity Boynton Beach, FL
Web-analytics & BI for ecommerce and retail clients: Google Analytics/GTM, Looker Studio, and executive Power BI (DAX) dashboards.
2020 – 2021
Data Analyst, Marketing · FedEx Memphis, TN
Marketing analytics on a $1B/month revenue program: SQL, dbt, Tableau, Adobe Analytics; drove a 15% cut in customer churn.
2019 – 2020
Data Analyst · Flyway Express Horn Lake, MS
Forecasting & logistics optimization: 93%-accuracy Python regression models, SQL and Tableau; cut fuel costs $80K/year.
Education
M.S., Information Systems · University of Maryland, College Park 2017 – 2018
B.E., Mechanical Engineering · University of Mumbai 2011 – 2015
04
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05
Contact

Let’s explore the
art of the possible with your data.

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