Ayushmaan Srivastava

Program Manager

Hyderabad, Telangana, India2 yrs 9 mos experience

Key Highlights

Strong foundation in econometrics and statistical analysis.
Experience in enhancing e-commerce product visibility.
Selected for Amazon's prestigious ML Summer School.

Stackforce AI infers this person is a Fintech and E-commerce analyst with strong statistical and machine learning skills.

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Skills

Core Skills

Econometrics

Other Skills

Business AnalysisCascading Style Sheets (CSS)CommunicationData AnalysisData MiningDeep LearningDigital Signal ProcessingDimensionality ReductionEngineeringEnglishGame TheoryHTMLImage ProcessingLinear RegressionMachine Learning

About

Being a recent undergraduate from NITK ,I seek knowledge and opportunities to learn innovative skills in the area of Statistics, Machine learning and Quantitative Finance Have active interest in world history and economics too.

Experience

2 yrs 9 mos

Total Experience

1 yr 6 mos

Average Tenure

11 mos

Current Experience

Wells fargo

Program Associate-Avp

Jul 2025 – Present · 11 mos · Hyderabad, Telangana, India · On-site

Credit Risk Analyst in consumer small business banking unit

Indian institute of technology, guwahati

Research Intern

May 2024 – Jul 2025 · 1 yr 2 mos · Remote

Researched on the effects of M&A of banks on their financial health across US,Europe and India using econometrics methods like OLS and Linear Regression

EconometricsOrdinary Least Squares (OLS)Linear Regression

Fractal

Business Analyst

May 2024 – Jul 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

Created models to boost organic search rank for various products of a FMCG company on e-commerce websites like Walmart and Target .

Iste nitk

3 roles

Credit Sig Head

Mar 2024 – Jul 2025 · 1 yr 4 mos

Founding Member of ML Society

Oct 2023 – Mar 2024 · 5 mos

Project Head

Sep 2023 – Mar 2024 · 6 mos

Amazon

Amazon ML Summer School

Sep 2023 – Oct 2023 · 1 mo · India · Remote

Was one of the 3000 selected amongst 81000 participants to attend sessions about practical life machine learning from scientists in Amazon as a part of their Summer school program.