Simon Seemakhupt

Senior Analyst, GTM Finance Analytics

Birdeye

Oct 2024 - Current (1 year 9 months)

• Led end-to-end sales productivity analysis for 100+ reps' performance, identifying funnel conversion bottlenecks and capacity constraints; restructuring incentive program that increased sales bookings by 20% MoM • Developed interactive Tableau dashboards for sales pipeline using custom calculations, parameter controls, and LOD expressions to monitor $10M+ opportunities across 40 states; boosted revenue pipeline value by 25% MoM

Strategy & Operations

Foundation AI

Jan 2024 - Aug 2024 (8 months)

• Engineered automated ETL pipeline in Python to scrape and integrate multiple source data from 50+ legal directories and state bar websites; implemented data quality checks procedures, resulting in 40% more accurate market size analysis

C

Financial Data Analyst

CELIGO INC.

Sep 2023 - Dec 2023 (4 months)

• Conducted in-depth product analysis on user acquisition funnel and retention patterns, measuring key SaaS metrics (ARR, CAC, LTV) across customer segments; developed real-time financial dashboards, lowering acquisition cost by 10% YoY

O

Insights & Strategy Analyst (MBA Summer

OPENGOV INC.

Jun 2022 - Sep 2022 (4 months)

• Architected customer segmentation model and cohort analysis in SQL to identify cross-selling opportunities for new SaaS product suite, driving 20% conversion lift and projecting $650k revenue growth through data-driven GTM strategy

Program Manager, Customer Experience & Analytics

Foodpanda

Mar 2021 - Jun 2021 (4 months)

• Led user journey analytics and A/B testing in Python to optimize customer support content across core app flows, analyzing customer surveys to increase CSAT by 20% and lower ticket deflection rate by 25% • Conducted customer segmentation analysis using Python to profile customers by RFM patterns, customer lifetime value and case severity, with targeted retention promotions, reducing churn rate by 15% MoM • Redesigned fraud and abuse detection system using classification and statistical analysis, identifying suspicious orders and decreasing marketing and operational expense by 20% QoQ

Senior Consultant, Data Analytics

PricewaterhouseCoopers

Mar 2019 - Mar 2021 (2 years 1 month)

• Designed automated fraud analytics and audit platform for leading insurance clients by integrating fraud analytics and auditors' insights across user journey to cut frauds by 35% YoY • Implemented credit risk reporting system using Python and SQL to analyze customer risk profiles (default rate, credit utilization, payment behavior); built automated ETL pipeline to streamline regulatory compliance reporting process

S

Data Scientist, Strategic Supply Chain

SCG PACKAGING

Aug 2013 - Jul 2018 (5 years)

• Enhanced demand forecast accuracy by 30% QoQ by developing time series forecasting model (ARIMA) and regression analysis using Python to identify predictive trends and leading indicators that improved planning accuracy • Deployed raw material optimization system using Python, SQL, and ETL pipelines to process production data through statistical models, identifying optimal production input levels that led to $1.5M YoY decline in overproduction costs

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