Sarsiz Chauhan

Associate Consultant

Sydney, New South Wales, Australia6 yrs 2 mos experience

AI ML PractitionerAI Enabled

Key Highlights

7+ years of experience in AI and analytics.
Delivered 21,000 hours of annual effort savings.
Expertise in AI strategy and governance.

Stackforce AI infers this person is a Data Science and AI professional with a focus on consulting and financial services.

Contact

sarsiz97@gmail.com LinkedIn

Skills

Core Skills

GenaiIt StrategyBusiness StrategyAi GovernanceStatistical ModelingProject ManagementData Science

Other Skills

Retrieval-Augmented Generation (RAG)Copilot Agent BuilderCorporate CommunicationsTechnology Enabled Business TransformationTeam ManagementStakeholder EngagementStakeholder ManagementStatisticsPythonBitbucketTeam BuildingLeadershipApache SparkTokenizationWord Embeddings

About

<Actively seeking full time role> I worked on AI LLMs, before they were cool. I’m an MBA candidate at AGSM (UNSW) and a data, AI and analytics professional with 7+ years of experience across banking, re/insurance, cyber risk and technology. Across Bank of America and Moody’s, I have built Python, ML, NLP, GenAI and cloud-based solutions that improved speed, control and business outcomes — from automating regulatory workflows and onboarding climate/economic scenario models to scaling cyber-risk data products and analytics workflows. My work has delivered measurable impact, including saving over 21,000 hours of annual effort, approximately ~3x operational efficiency gains and up to a 90% runtime reduction in critical risk workflows. More recently, through my MBA, I worked on an AI strategy project with Paspaley, assessing where AI can support creative and business workflows, evaluating practical use cases, and defining governance guardrails so AI augments rather than replaces human expertise. I am especially interested in roles at the intersection of AI, strategy, risk, digital transformation and industry problem-solving across consulting, financial services, insurtech, cyber and broader technology environments.

Experience

6 yrs 2 mos

Total Experience

2 yrs

Average Tenure

Current Experience

Infosys portland

MBA Strategy Consultant

Feb 2026 – Present · 3 mos · Sydney, NSW · Hybrid

Building Agents for Procurement Process
Mapped procurement workflows and business pain points to pinpoint where AI and agent-based solutions could create the most meaningful operational impact.
Supported the design and deployment of a procurement-focused AI agent to improve process support, information access, and decision-making.
Evaluated opportunities based on business value, process fit, implementation feasibility, and adoption considerations.
Developed practical recommendations for embedding GenAI into procurement workflows in a scalable and business-relevant way.

GenAIRetrieval-Augmented Generation (RAG)Copilot Agent BuilderCorporate CommunicationsIT Strategy

Paspaley

MBA Strategy Consultant

Sep 2025 – Dec 2025 · 3 mos · Sydney, New South Wales, Australia · Hybrid

Collaborated in a team of four to assess the end-to-end jewellery design process and identify where AI can meaningfully support ideation, iteration, and approvals without compromising craftsmanship
Co-designed an AI-enabled future-state workflow to shorten concept-to-prototype timelines while preserving craftsmanship and brand integrity
Evaluated current AI tools for ideation, visualisation and 2D-to-3D support, distinguishing near-term opportunities from longer-term capability bets
Helped define governance guardrails for the responsible use of AI in creative workflows

Business StrategyAI GovernanceGenAITechnology Enabled Business TransformationTeam ManagementStakeholder Engagement+1

Bank of america

3 roles

Manager

Jan 2025 – Apr 2025 · 3 mos · Hybrid

GRA - AMG - Alternate Modeling Group
Ongoing Monitoring Report (OMR)

StatisticsStatistical ModelingPythonBitbucketProject ManagementTeam Building+1

Assistant Manager (Global Risk Analytics)

Promoted

Nov 2023 – Jan 2025 · 1 yr 2 mos · Hybrid

Moved to GRA team (Scenario Generation)
Writing Production code, Jira, bitbucket
On-boarding Economic Scenario Generation Models to GCP (Internal Could Platform )
Wholesale Risk Analytics

Apache SparkPythonStatisticsData ScienceProject ManagementTeam Building

Assistant Manager (Enterprise Independent Testing)

Dec 2021 – Nov 2023 · 1 yr 11 mos · Hybrid

Automating workflows, and making life little less boring for employees at bank.
Using Python and ML to classify and automate Home Loans Processing and with application of NLP (and OCR) to extract information within.
Dev/UAT Regression Testing, interactive UI, Alteryx

Data Science

Moody's analytics

Senior Modeling Analyst

Aug 2021 – Dec 2021 · 4 mos

Cyber Risk Insurance:
Worked on building BEC (Business Email Compromise)
Researching on cyber attacks, threat actors assessment
Building Statistical Models - data mining

TokenizationData Science

Rms

2 roles

Senior Modeling Analyst

Promoted

Nov 2020 – Aug 2021 · 9 mos · India

Product: Cyber Risk Model
Topic Modeling, Clustering documents unsupervised learning
Entity Extraction, Relation Mapping
Training CNN (TF, Keras, Scikit-learn)
Developed money2number Python Package.

TokenizationData Science

Modeling Analyst

Oct 2018 – Oct 2020 · 2 yrs · India

Working on the assessment of Cyber Risk Insurance.
NLU(Named Entity Extraction, Relation mapping), Classification Algorithms, Data Extraction and Pre Processing.
Creating Dashboard and infographics, creating a comparative analysis of Data.
Also worked with OCR, Tesseract.

TokenizationData ScienceWord Embeddings

Think future technologies

Machine Learning Engineer

Jul 2018 – Sep 2018 · 2 mos · India

Worked on Image recognition using Deep Learning techniques(40%) and a chatbot using NMT (end-to-end goal oriented dialogue, 60%)

TokenizationData Science

Sutra tech labs

Data Science Intern

Jul 2017 – Aug 2017 · 1 mo · New Delhi Area, India

Extracted data using Scripts, APIs and Tools from over 2 lakh+ unique websites and segmented them into meaningful categories
Written several Scripts in Python to scrap Secondary Data from different websites.
Remodeled keyword Bi-association algorithm to get all possible convertible Keywords and visualized the data using Tableau/Splunk
Successfully delivered rich data-driven insights which motivated the company in building a financial model to capture the target audience
Learned server-side Deployment tactics and Nodejs(beginner)

Data Science