Akash Mondal

Data Scientist

Bengaluru, Karnataka, India4 yrs 7 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in AI and Machine Learning frameworks.
Proven track record in credit risk management.
Strong background in developing predictive models.

Stackforce AI infers this person is a Fintech Data Analyst with expertise in AI and Machine Learning.

Contact

akashmondal1810@gmail.com LinkedIn

Skills

Core Skills

Artificial IntelligenceMachine LearningData Analysis

Other Skills

AI GovernanceAlgorithmsApache SparkBig DataBig Data AnalyticsCC++CSSCredit Risk ManagementData ScienceData StructuresDeep EnsembleDeep LearningDistributed SystemsGPU

About

I am a Data Analyst at American Express (Graduated from IIT Kharagpur), areas of my forte are AI, Machine Learning, Deep Learning, algorithm, and Database. Find my portfolio at http://akashmondal1810.github.io

Experience

Amazon

Data Scientist II

May 2025 – Present · 10 mos · Hyderabad, Telangana, India

American express

4 roles

Manager - AI Research

Promoted

Apr 2024 – May 2025 · 1 yr 1 mo · Bengaluru, Karnataka, India

Implemented and Optimized the AI Governance and Interpretability Framework for GBM-based Credit, Fraud, & Marketing Models, implemented using GPU Accelerated Dask, PySpark, and Python.
Utilized LLM to efficiently extract credit risk signals for credit underwriting.

AI GovernanceInterpretability FrameworkGPU Accelerated DaskPySparkPythonLarge Language Models+2

Assistant Manager

Feb 2023 – Apr 2024 · 1 yr 2 mos · Bengaluru, Karnataka, India

Data Scientist

Aug 2021 – Mar 2023 · 1 yr 7 mos · Bengaluru, Karnataka, India

Designed, developed, and monitored the complete suits of machine learning models for credit risk management in the US Consumer portfolio, enabling crucial decisions like POS authorization and negative actionings.

Machine Learning ModelsCredit Risk ManagementMachine LearningData Analysis

Summer Intern

May 2020 – Jul 2020 · 2 mos

◦ Worked with the Decision Science Team to create probabilistic models for predictive uncertainty estimation
◦ Used MC Dropout, Deep Ensemble and introduced two novel gradient boosting-based models to quantify uncertainty
◦ Received a full-time return offer for showcasing excellence in performance and project results

Probabilistic ModelsPredictive Uncertainty EstimationMC DropoutDeep EnsembleGradient BoostingMachine Learning+1