Ashish Jain

Director of Engineering

Bengaluru, Karnataka, India10 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Artificial Intelligence and Data Science.
Proven leadership in cross-functional team management.
Innovative solutions in job recommendation systems.

Stackforce AI infers this person is a Data Science leader in the SaaS industry.

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Skills

Core Skills

Artificial Intelligence (ai)Cross-functional Team LeadershipMachine LearningData Science

Other Skills

AlgorithmsAmazon Web Services (AWS)AnalysisAnalyticsBig DataBig Data AnalyticsBlockchainData AnalysisData MiningData ModelingData VisualizationDatabasesGo (Programming Language)KubernetesLinear Regression

Experience

Aplazo

Director - Data Science

Jan 2025 – Present · 1 yr 2 mos

Simpl

3 roles

Associate Director - Data Science

Promoted

Oct 2023 – Jan 2025 · 1 yr 3 mos · Bengaluru, Karnataka, India

Cross-functional Team LeadershipArtificial Intelligence (AI)People Management

Senior Manager - Data Science

Oct 2022 – Oct 2023 · 1 yr · Bengaluru, Karnataka, India

Artificial Intelligence (AI)People Management

Manager - Data Science

Apr 2022 – Oct 2022 · 6 mos · Bengaluru, Karnataka, India

Artificial Intelligence (AI)People Management

Goldman sachs

Associate, Fraud Strategy - Apple Cards

Oct 2021 – Apr 2022 · 6 mos · Bengaluru, Karnataka, India

Artificial Intelligence (AI)People Management

Mastercard

3 roles

Senior Data Scientist, Financial Crime Solutions

Feb 2020 – Oct 2021 · 1 yr 8 mos

Artificial Intelligence (AI)

Data Scientist II, Financial Crime Solutions

Sep 2018 – Feb 2020 · 1 yr 5 mos

Artificial Intelligence (AI)

Data Scientist, Financial Crime Solutions

Jul 2017 – Sep 2018 · 1 yr 2 mos

Artificial Intelligence (AI)

Ht media ltd

Data Scientist

Jul 2015 – Jul 2017 · 2 yrs · Gurugram, Haryana, India

Developed and deployed machine learning models to enhance job recommendations, candidate profiling, and search relevance on Shine.com. Focus areas included:
Recommendation Systems:
Built a hybrid job recommendation engine leveraging semantic matching and content-based filtering to improve job-seeker engagement.
Profile Matching:
Designed an algorithmic framework for candidate similarity scoring, optimizing recruiter search and shortlisting.
Text Standardization:
Implemented free-text normalization techniques for job titles and skills to enhance search precision and data consistency.