Akash Nirantar
@akashnirantar
Product-minded Lead Business Analyst using GenAI and cloud data integration to deliver outcomes.
IndiaWhat I'm looking for
I’m a Lead Business Analyst focused on product execution—translating complex stakeholder needs into clear requirements, testable workflows, and measurable delivery. I combine requirements engineering with Agile/Lean practices to keep teams aligned from BRD/FRD to UAT.
In recent roles, I’ve engineered frameworks that modernize legacy platforms, including a custom in-house Salesforce framework that saved $3.5M USD annually in licensing fees. I’ve also architected centralized cloud data integration layers using AWS to unify fragmented streams and reduce system latency by 50% during migration.
I consistently drive end-to-end outcomes: building a brand-new Salesforce framework for a strategic JV to achieve 100% UAT sign-off across investment banking and IT, and designing Generative AI-driven solutions (Claude & OpenAI) that accelerated turnaround times for high-volume product email notifications. I also created a Claude-driven co-working plugin to streamline investment banking documentation and reduce manual effort for junior teams.
Alongside product delivery, I bring strong data and automation skills—improving scalability by 80% through re-architecture, reducing client data entry time by 80% with AI document extraction, optimizing ETL using Databricks, and shortening QA cycles via automated test frameworks and reporting. My north star is using GenAI + cloud + data discipline to ship faster, with higher accuracy and better user value.
Experience
Work history, roles, and key accomplishments
Led decommissioning of a legacy third-party Salesforce application for Jefferies LLC by building a custom in-house framework, saving $3.5M USD annually in licensing fees. Architected an AWS-based centralized cloud data integration layer, reduced system latency by 50%, and developed a new Salesforce framework for a Jefferies–SMBC JV with 100% UAT sign-off.
Lead Technical Business Analyst
Evitat Australia
Nov 2021 - Sep 2024 (2 years 10 months)
Created a renovation virtual assistant leveraging async REST APIs to attract investors and secure $300k in pre-seed investment. Re-architected the database and migrated REST APIs to microservices, improved scalability by 80%, and led AI document extraction work that reduced data entry time by 80%.
Data Analyst Intern
ACET Global
Nov 2020 - Feb 2021 (3 months)
Engineered machine learning algorithms to predict refugee age and user categories to optimize targeted distribution of essential supplies. Designed and presented data visualizations and analyses to support stakeholder decision-making.
Led a team of 4 junior analysts to facilitate application testing and support post-launch quality for high-quality features. Developed an automated test framework and automated end-of-day QA reports using Python and JQL, reducing manual testing time by 50% and manual work by about 6 hours per week.
Education
Degrees, certifications, and relevant coursework
RMIT University
Master of Data Science, Data Science
2020 - 2021
Grade: Cumulative GPA: 3.5/5
Activities and societies: Future leader scholarship holder; majors in cloud infrastructure & big data.
Earned a Master of Data Science at RMIT University (March 2020–November 2021), with majors in cloud infrastructure and big data. Held a Future Leader scholarship.
SPP University
Bachelor of Computer Science, Computer Science
2014 - 2017
Grade: Cumulative GPA: 3.0/5
Earned a Bachelor of Computer Science at SPP University (June 2014–May 2017).
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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