Two-Column Resume Template

Sidebar for skills and contact, main column for experience.

ModernFree

Template: Two-Column

Daniel Stern

Data Analyst

Contact

daniel.stern@email.com

(312) 555-4291

Chicago, IL

linkedin.com/in/danielstern

Skills

Analytics

SQLPythonRStatistical ModelingA/B TestingRegression Analysis

Visualization

TableauPower BILookerGoogle Data StudioD3.js

Tools

BigQuerySnowflakedbtAirflowExcel/Google SheetsJupyter

Education

Northwestern University

M.S. Analytics

2015 – 2017

University of Illinois Urbana-Champaign

B.S. Statistics

2011 – 2015

Certifications

Google Data Analytics Professional Certificate
Tableau Desktop Certified Professional

Professional Summary

Detail-oriented data analyst with 5+ years transforming complex datasets into actionable business insights. Expertise in statistical modeling, dashboard development, and cross-functional storytelling that drives data-informed decision-making across the organization.

Experience

Senior Data AnalystApr 2022 – Present

Uber · Chicago, IL

Built executive-level dashboards tracking $2B+ in ride revenue across 15 US markets, reducing report generation time from 3 days to real-time.
Developed a driver churn prediction model with 87% accuracy, enabling targeted retention campaigns that saved $4.2M annually.
Partnered with product teams to design and analyze 25+ A/B tests, directly influencing feature launches impacting 80M+ users.
Created automated data quality monitoring pipelines that detected anomalies 6x faster than manual review processes.

Data AnalystAug 2019 – Mar 2022

Groupon · Chicago, IL

Analyzed customer purchase patterns across 500K+ transactions to identify cross-sell opportunities worth $8M in annual revenue.
Built a customer segmentation framework using k-means clustering that improved email campaign ROI by 32%.
Designed Tableau dashboards adopted by 50+ stakeholders across marketing, finance, and operations departments.

Business AnalystJun 2017 – Jul 2019

Deloitte Consulting · Chicago, IL

Delivered data analysis and visualization for 6 Fortune 500 clients across retail, healthcare, and financial services sectors.
Automated weekly reporting for a $500M revenue client, saving 20+ hours per month in manual data processing.

Projects

Chicago Transit Optimization

Built a predictive model for CTA bus delays using public transit data, published findings at the Midwest Analytics Conference.

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When to Use the Two-Column Template

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Nina Castillo

Sales Director

nina.castillo@email.com|(305) 555-7362|Miami, FL| linkedin.com/in/ninacastillo

Professional Summary

High-impact sales director with 9+ years building and leading high-performing enterprise sales teams across SaaS, fintech, and professional services. Track record of scaling revenue from $5M to $40M+ through strategic account development, team coaching, and operational excellence.

Experience

Director of SalesJan 2022 – Present

Brex · Miami, FL

Lead a team of 22 AEs and 8 SDRs responsible for $38M in annual recurring revenue across mid-market and enterprise segments.
Grew team revenue by 85% YoY through strategic hiring, structured coaching programs, and improved sales methodology.
Implemented MEDDPICC framework across the sales org, increasing average deal size by 40% and improving forecast accuracy to 92%.
Negotiated and closed the company's largest enterprise deal at $2.4M ACV with a Fortune 100 financial institution.

Sales ManagerApr 2019 – Dec 2021

Stripe · San Francisco, CA

Managed a team of 10 AEs that exceeded collective quota by 130%, generating $18M in new bookings annually.
Developed a partner-led sales motion with 15+ implementation partners that contributed 25% of team pipeline.
Created a sales enablement curriculum that reduced new AE ramp time from 6 months to 3.5 months.

Enterprise Account ExecutiveJun 2016 – Mar 2019

SAP · New York, NY

Consistently achieved 120%+ quota attainment selling ERP and cloud solutions to mid-market enterprises.
Managed a portfolio of 30+ accounts with $12M in annual contract value and a 98% retention rate.

Skills

Sales Leadership

Revenue StrategyTeam Building & CoachingEnterprise SalesChannel PartnershipsSales OperationsForecasting

Tools

SalesforceGongClariOutreachTableauLinkedIn Sales Navigator

Projects

Sales Leadership

Named to LinkedIn's 'Top 25 Sales Leaders to Watch' list in 2023 for driving category-leading team performance.

Education

University of Miami — B.B.A. Marketing

2012 – 2016

Certifications

Certified Sales Leader (CSL) — Sales Management AssociationSandler Enterprise Selling Certification

Bold

Large typography with blue color blocks — high impact for sales and management.

Template: Metro

Mia Chen

Full-Stack Developer

mia.chen@email.com · (510) 555-3847 · Oakland, CA · linkedin.com/in/miachen · github.com/miachen-dev

About

Full-stack developer with 6+ years building production applications using TypeScript, React, Node.js, and cloud infrastructure. Strong focus on API design, database optimization, and developer experience. Open-source contributor with 3K+ GitHub stars across personal projects.

Experience

Staff Software Engineer

Jan 2023 – Present

Figma· San Francisco, CA

Architect and lead developer for Figma's plugin marketplace backend, serving 50K+ plugins and 5M+ monthly installs.
Designed a new API gateway that reduced p99 latency from 800ms to 120ms while handling 100K+ requests per minute.
Led the migration from REST to GraphQL federation, improving developer productivity and reducing over-fetching by 70%.
Mentored 4 engineers and established coding standards adopted across the Platform Engineering organization.

Software Engineer

Jun 2020 – Dec 2022

Plaid· San Francisco, CA

Built and maintained financial data APIs processing 1B+ API calls per month with 99.99% uptime.
Developed an internal developer portal that reduced API onboarding time from 2 weeks to 2 hours for partner integrations.
Implemented real-time data streaming pipelines using Kafka and Flink for transaction monitoring across 12K+ financial institutions.

Junior Software Engineer

Jul 2018 – May 2020

Twitch· San Francisco, CA

Developed features for the Twitch Creator Dashboard used by 9M+ streamers including analytics, alerts, and stream management tools.
Built a real-time chat moderation system handling 15M+ messages daily using WebSocket and distributed pub/sub architecture.

Skills

Backend

Node.jsPythonPostgreSQLMongoDBRedisGraphQLREST APIs

Frontend

ReactNext.jsTypeScriptTailwind CSSVue.js

DevOps

AWSDockerKubernetesGitHub ActionsTerraformVercelDatadog

Education

UC Berkeley — B.S. Electrical Engineering & Computer Science

2014 – 2018

Projects

Open Source — fastql

Created a lightweight GraphQL schema builder for Node.js with 2,100+ GitHub stars and featured in JavaScript Weekly.

Certifications

AWS Certified Solutions Architect — Associate • MongoDB Certified Developer Associate

Metro

Modern modular grid with blue accents — structured and contemporary for tech.

Template: Blueprint

Elena Covenant

ML Engineer

elena.covenant@email.com(212) 555-4392New York, NYlinkedin.com/in/elenacovenantgithub.com/ecovenant

Summary

Machine learning engineer with 5+ years building and deploying ML models across recommendation systems, NLP, and fraud detection. Strong foundation in distributed systems and data engineering with a focus on scalable, production-grade ML infrastructure.

Skills

ML/Data

Feature EngineeringExpert

Engineering

Education

Columbia University

M.S. Data Science

2016 – 2018

University of Michigan

B.S. Computer Science

2012 – 2016

Employment History

Senior ML Engineer

Spotify

Jan 2022 – Present· New York, NY

Built the next-generation podcast recommendation engine serving 200M+ users, increasing listen-through rates by 28%.
Designed a real-time feature store processing 1B+ events daily, reducing feature freshness from hours to seconds.
Led migration of ML training pipelines to Kubeflow, reducing model iteration cycles from 2 weeks to 3 days.
Collaborated with product teams to define ML-driven KPIs and experimentation frameworks for content discovery.

ML Engineer

Two Sigma

Aug 2019 – Dec 2021· New York, NY

Developed NLP models for financial document analysis, extracting structured data from 10K+ earnings reports quarterly.
Built an anomaly detection system for trading signals that flagged 94% of market microstructure irregularities.
Optimized feature pipelines using Apache Spark, reducing compute costs by 35% while processing 5TB+ daily.

Applied Scientist

Amazon

Jun 2018 – Jul 2019· Seattle, WA

Developed fraud detection models for Amazon Pay processing $2B+ in monthly transactions with 99.8% precision.
Implemented real-time model serving on AWS SageMaker with sub-10ms P99 latency.

Projects

RecSys Challenge Winner

1st place in ACM RecSys 2021 Challenge for session-based recommendation with novel transformer architecture.

Certifications

AWS Machine Learning Specialty • Databricks Certified ML Professional

Blueprint

Bold oversized name with grid layout and blue accents — modern and structured.

Experience

Senior Data AnalystApr 2022 – Present

Uber · Chicago, IL

Built executive-level dashboards tracking $2B+ in ride revenue across 15 US markets, reducing report generation time from 3 days to real-time.
Developed a driver churn prediction model with 87% accuracy, enabling targeted retention campaigns that saved $4.2M annually.
Partnered with product teams to design and analyze 25+ A/B tests, directly influencing feature launches impacting 80M+ users.
Created automated data quality monitoring pipelines that detected anomalies 6x faster than manual review processes.

Data AnalystAug 2019 – Mar 2022

Groupon · Chicago, IL

Analyzed customer purchase patterns across 500K+ transactions to identify cross-sell opportunities worth $8M in annual revenue.
Built a customer segmentation framework using k-means clustering that improved email campaign ROI by 32%.
Designed Tableau dashboards adopted by 50+ stakeholders across marketing, finance, and operations departments.

Business AnalystJun 2017 – Jul 2019

Deloitte Consulting · Chicago, IL

Delivered data analysis and visualization for 6 Fortune 500 clients across retail, healthcare, and financial services sectors.
Automated weekly reporting for a $500M revenue client, saving 20+ hours per month in manual data processing.

Experience

Director of SalesJan 2022 – Present

Brex · Miami, FL

Lead a team of 22 AEs and 8 SDRs responsible for $38M in annual recurring revenue across mid-market and enterprise segments.
Grew team revenue by 85% YoY through strategic hiring, structured coaching programs, and improved sales methodology.
Implemented MEDDPICC framework across the sales org, increasing average deal size by 40% and improving forecast accuracy to 92%.
Negotiated and closed the company's largest enterprise deal at $2.4M ACV with a Fortune 100 financial institution.

Sales ManagerApr 2019 – Dec 2021

Stripe · San Francisco, CA

Managed a team of 10 AEs that exceeded collective quota by 130%, generating $18M in new bookings annually.
Developed a partner-led sales motion with 15+ implementation partners that contributed 25% of team pipeline.
Created a sales enablement curriculum that reduced new AE ramp time from 6 months to 3.5 months.

Enterprise Account ExecutiveJun 2016 – Mar 2019

SAP · New York, NY

Consistently achieved 120%+ quota attainment selling ERP and cloud solutions to mid-market enterprises.
Managed a portfolio of 30+ accounts with $12M in annual contract value and a 98% retention rate.

Experience

Staff Software Engineer

Jan 2023 – Present

Figma· San Francisco, CA

Architect and lead developer for Figma's plugin marketplace backend, serving 50K+ plugins and 5M+ monthly installs.
Designed a new API gateway that reduced p99 latency from 800ms to 120ms while handling 100K+ requests per minute.
Led the migration from REST to GraphQL federation, improving developer productivity and reducing over-fetching by 70%.
Mentored 4 engineers and established coding standards adopted across the Platform Engineering organization.

Software Engineer

Jun 2020 – Dec 2022

Plaid· San Francisco, CA

Built and maintained financial data APIs processing 1B+ API calls per month with 99.99% uptime.
Developed an internal developer portal that reduced API onboarding time from 2 weeks to 2 hours for partner integrations.
Implemented real-time data streaming pipelines using Kafka and Flink for transaction monitoring across 12K+ financial institutions.

Junior Software Engineer

Jul 2018 – May 2020

Twitch· San Francisco, CA

Developed features for the Twitch Creator Dashboard used by 9M+ streamers including analytics, alerts, and stream management tools.
Built a real-time chat moderation system handling 15M+ messages daily using WebSocket and distributed pub/sub architecture.

Employment History

Senior ML Engineer

Spotify

Jan 2022 – Present· New York, NY

Built the next-generation podcast recommendation engine serving 200M+ users, increasing listen-through rates by 28%.
Designed a real-time feature store processing 1B+ events daily, reducing feature freshness from hours to seconds.
Led migration of ML training pipelines to Kubeflow, reducing model iteration cycles from 2 weeks to 3 days.
Collaborated with product teams to define ML-driven KPIs and experimentation frameworks for content discovery.

ML Engineer

Two Sigma

Aug 2019 – Dec 2021· New York, NY

Developed NLP models for financial document analysis, extracting structured data from 10K+ earnings reports quarterly.
Built an anomaly detection system for trading signals that flagged 94% of market microstructure irregularities.
Optimized feature pipelines using Apache Spark, reducing compute costs by 35% while processing 5TB+ daily.

Applied Scientist

Amazon

Jun 2018 – Jul 2019· Seattle, WA

Developed fraud detection models for Amazon Pay processing $2B+ in monthly transactions with 99.8% precision.
Implemented real-time model serving on AWS SageMaker with sub-10ms P99 latency.