Ayushi Agarwal

Data Scientist

San Francisco, California, United States7 yrs 2 mos experience

Highly Stable

Key Highlights

Expert in automating data collection and analytics tools.
Proven track record in risk management and compliance.
Strong background in machine learning and data analysis.

Stackforce AI infers this person is a Data & Analytics professional with expertise in SaaS and consulting industries.

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Skills

Core Skills

Data AnalysisRisk ManagementProject ManagementMachine Learning

Other Skills

Data AnalyticsMicrosoft OfficeMicrosoft ExcelResearchProject PlanningAnalytical SkillsProduct ManagementMicrosoft WordManagement Information Systems (MIS)SQLPython (Programming Language)Microsoft PowerPointC++PHPJavaScript

About

Data & analytics engineering professional with an interest in generating insights. Experienced with marketing data to help guide cost effectiveness, spend efficiency and marketing metrics. Presently working at Figma. Prior experience at Salesforce, Deloitte, startups, Credit Suisse spreading across Australia, China, Canada and United States.

Experience

7 yrs 2 mos

Total Experience

2 yrs

Average Tenure

1 yr

Current Experience

Figma

Data Scientist

Jun 2025 – Present · 1 yr · San Francisco, California, United States

Salesforce

3 roles

Analytics Engineering Lead

Promoted

Apr 2024 – Jun 2025 · 1 yr 2 mos

Senior Data Analyst

Promoted

Aug 2022 – Apr 2024 · 1 yr 8 mos

Data Analyst (MuleSoft)

Apr 2021 – Aug 2022 · 1 yr 4 mos

Deloitte

Analytics Consultant

Jul 2019 – Mar 2021 · 1 yr 8 mos · New City, New York, United States

Received the Applause Award - for top performance
Automated data collection & built risk analytics dashboards decreasing compliance risk by ~50% thus saving human effort
Built and end to end analytics tool with visual monitoring capability, reducing the s/w asset management time by ~20 hours
Reduced tracking time by 30% by developing an end to end analytics tool for seamless vendor management

Credit suisse

Data Analyst

Sep 2018 – Oct 2018 · 1 mo · Greater New York City Area

Presented analysis and outcomes on Categorizing Financial News focusing on trending news over five years using topic modelling
Leveraged the insights to derive what is trending about the organization in the media and how the competitor is affecting the analysis

Kearney

Data Specialist

Aug 2018 – Dec 2018 · 4 mos · Pittsburgh, Pennsylvania, United States

Developed customer segmentation model by clustering and analyzing market baskets to increase profitability for a major retail client
Evaluated performance of each store by measuring sales at risk due to competition within all lines of business
Generated profitability growth insights by analyzing KPIs for studying customer behavior like loyalty card purchase, coupon spend

Shenji intelligence tech (levelup ai)

Data Scientist Intern

May 2018 – Jul 2018 · 2 mos · Haidian District, Beijing, China

Developed machine learning models to enhance FAQs and reduced complaint process time to better customer experience for a software
Analyzed customer conversations by first comparative text vectorization amongst Doc2Vec, TF-IDF, NMF followed by topic modelling
Achieved topics involving queries, suggestions, positive-negative feedback and solutions to incorporate in installation guide or FAQ page