Adarsh Maurya

CEO

Bengaluru, Karnataka, India7 yrs 9 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in Generative AI and Machine Learning solutions.
  • Proven track record in risk and compliance management.
  • Strong analytical skills driving strategic decision-making.
Stackforce AI infers this person is a Fintech professional with expertise in analytics and risk management.

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Skills

Core Skills

Analytics & AutomationModel Development & Governance

Other Skills

API IntegrationAlgorithmsAutomated ReportingBusiness AnalysisBusiness Intelligence (BI)C (Programming Language)C++Computer VisionData AnalysisData AnalyticsData ModelingData ScienceData StructuresData VisualizationDjango

About

Accomplished analytics and risk professional with 7 years of experience in advanced analytics and 5 years in Risk & Compliance Management. Skilled in developing and governing quantitative models, implementing Generative AI and Machine Learning solutions, and ensuring regulatory compliance across complex banking and financial environments. Proficient in leveraging cutting-edge analytical technologies to drive strategic decision-making, enhance risk oversight, and strengthen organizational performance. Adept at distilling complex concepts into clear insights, delivering executive-level presentations, and fostering collaboration across technical and business teams. Proven ability to integrate risk and compliance considerations into AI/ML model governance, balancing innovation with regulatory expectations. Strong technical foundation with advanced programming, prompt engineering, and deployment skills to build robust, scalable, and compliant analytical infrastructures. ⸻ Core Areas of Expertise: Generative AI & LLMs: Large Language Models, Prompt Engineering, Retrieval-Augmented Generation (RAG) Model Development & Governance: Quantitative Models, Model Risk Management, Oversight & Compliance Analytics & Automation: Machine Learning, Deep Learning (Neural Networks), NLP, Business Intelligence, Automation Frameworks Programming & Statistical Modelling: Python, SAS (Supervised & Unsupervised Learning), Advanced Statistical Modelling Risk & Compliance: Risk Governance, Compliance Management, Policy Implementation, Regulatory Alignment Leadership & Collaboration: Team Building, Mentoring, Cross-Functional Collaboration, Executive Communication

Experience

7 yrs 9 mos
Total Experience
3 yrs 10 mos
Average Tenure
5 yrs 9 mos
Current Experience

Jpmorgan chase & co.

2 roles

Assistant Vice President

Promoted

Jan 2024Present · 2 yrs 4 mos

  • Spearheaded the creation of a comprehensive newsletter that analysed over 5,000 news articles monthly, enhancing weekly surveillance of the commercial real estate market.
  • Developed and implemented an advanced logistic regression model that filtered out 85% of irrelevant articles, ensuring only high-quality content was utilised for further analysis.
  • Engineered an API integration utilising an LLM-based model to produce succinct summaries of market trends from a dataset exceeding 5,000 articles monthly; this initiative enabled rapid categorisation through topic modelling algorithms.
  • Automated the extraction of insights from Credit Proposals using Selenium and OCR technology, leading to a 40% reduction in manual processing time and enabling real-time analysis of upgrade/downgrade trends.
  • Analysed comment data from extracted proposals to identify key drivers for upgrades and downgrades, resulting in actionable recommendations.
Natural Language Processing (NLP)Logistic RegressionAPI IntegrationSeleniumOCR TechnologyAnalytics & Automation+1

Associate Strategy Analytics

Aug 2020Feb 2024 · 3 yrs 6 mos

  • Independently developed a geospatial analytics framework using Python and GeoPandas to automatically identify properties impacted by natural disasters using government-provided shapefiles; reduced assessment time from weeks to under an hour during Hurricane Francine and later repurposed for rapid response during the Los Angeles Wildfire.
  • Spearheaded the design and deployment of a fully automated reporting system, enhancing data collection efficiency and reducing manual reporting time from days to mere minutes for over 50 users across multiple departments.
  • Engineered a Python-based extraction script that transformed data from Excel/CSV files to SQLite databases which further is converted to user-friendly format, improving report generation speed by 80%, thereby enabling timely decision-making and surveillance.
  • Created an innovative tenant renewal tracking tool utilising fuzzy logic algorithms to identify unique tenant movements.
PythonGeoPandasAutomated ReportingSQLiteFuzzy Logic AlgorithmsAnalytics & Automation+1

Mu sigma inc.

Trainee Decision Scientist

Aug 2018Aug 2020 · 2 yrs · Bengaluru Area, India · On-site

  • Responsible for utilising data analytics to evaluate various economic and real estate metrics and develop forecasts for portfolio performance.
  • Created a technical design for the development and integration of new software and system technologies.
  • Developed actionable recommendations supported by data and research. These analyses are also used to influence strategies and to optimise portfolio performance.
  • Used a wide variety of internal and external “big data” sources, determine a meaningful analysis approach and create clear visualisations of conclusions.
  • Provided expertise and insights which can be leveraged for maintaining and initiating new client relationships, and generate high-quality reports that highlight emerging trends and suggest possible courses of action.
  • Developed process efficiencies and automated solutions for management.
  • Identified key business metrics for success and break down the problem into several smaller hypothesis.
  • Leveraged statistical analysis to test the hypothesis, derive insights and implement data-driven solutions via an array of tools.
  • Responsible for defining, analysing and communicating key metrics to stakeholders.
  • Build several frameworks to automate the end-to-end process for reproducible results.
Data AnalyticsStatistical AnalysisData VisualizationAnalytics & Automation

Santulan technologies

Summer Intern

May 2017Jul 2017 · 2 mos · Chandigarh

  • Developed a computer vision tool to extract key pieces of information from receipts
  • Integrated the tool to a web platform and provided it as a possible "Software as a Service"
Computer VisionWeb Development

Education

Dr B R Ambedkar National Institute of Technology, Jalandhar

Bachelor's degree — Instrumentation & Control Engineering

Jan 2014Jan 2018

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