Niral J Shah

AI Researcher

Sydney, New South Wales, Australia7 yrs 4 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in statistical data analysis and reporting automation.
  • Proven track record in risk management and fraud analysis.
  • Strong background in data-driven decision making and strategic planning.
Stackforce AI infers this person is a Data Science expert with a focus on Fintech and Manufacturing analytics.

Contact

Skills

Core Skills

Data AnalysisRisk ManagementForecastingData CleansingOptical RecognitionLogistics PredictionData AnalyticsRisk AnalysisManufacturing Data AnalysisProject Management

Other Skills

Advanced ReportingArduinoBanana ProCC (Programming Language)C#C++CMOSCredit Scorecard DevelopmentCycle Time ReductionDefect EliminationDefect IdentificationDigital Logic DesignElectronicsFraud Modelling

About

My personal interest is in computational finance, statistical analysis, and business intelligence. I deliver results by providing progressive data solutions with automating effective & informative reporting to keep track of the performance and business benefits in real-time. I am an optimist with integrity, strong problem-solving skills, strict attention to detail with commendable decision making & interpersonal skills. I like to network, socialize, and give back to the community in my free time. Core competencies include: • Statistical data analysis • Detailed reporting • Strategic planning and forecasting • Software Development

Experience

7 yrs 4 mos
Total Experience
3 yrs 8 mos
Average Tenure
5 yrs 1 mo
Current Experience

Fundo loans

Lead Data Scientist

May 2021Present · 5 yrs 1 mo

Cash direct

Data Scientist

Aug 2020Jun 2021 · 10 mos · Melbourne, Victoria, Australia

  • Risk Management, Credit Scorecard Development, Marketing Analytics & Fraud Modelling.
  • Advanced reporting & its automation, analyzing, and finding the root cause of frauds & outliers weekly.
  • Evaluated Missed Payments and Bank Statement trends to understand customer behavior and assess current strategies.
Risk ManagementCredit Scorecard DevelopmentMarketing AnalyticsFraud ModellingAdvanced ReportingData Analysis

Trimble inc.

Data Scientist

Aug 2020Oct 2020 · 2 mos · Melbourne, Victoria, Australia

  • Analyzed historic data, used it to forecast the trolley locations of a leading supermarket chain & automated the process.
  • Scaled analytical capabilities across the supply chain areas, evolving analytics to influence client's strategic planning & decision-making.
Data AnalysisForecastingSupply Chain Analytics

Monash university

Research Officer

Sep 2019Jan 2020 · 4 mos · Melbourne, Australia

  • Worked on data cleansing and compilation using Tesseract OCR by Google for conversion.
  • Implemented Optical Recognition using a dedicated Neural Network model.
Data CleansingOptical RecognitionNeural Networks

Dusk mobile

Junior Data Scientist

Mar 2019Apr 2019 · 1 mo · Melbourne, Australia

  • · Provided a leading logistics company with a Proof-of-concept for predicting their planning.
  • · Delivered within 15 days with 74.45% prediction accuracy, Train: 2 months, Tested: next 2 weeks.
  • · Provided scheduling recommendations based on confidence interval to ease the planning.
Logistics PredictionScheduling Recommendations

Badger holdings (pty) ltd

Data Analyst

Nov 2018Feb 2019 · 3 mos · Melbourne, Australia

  • · Worked on high quality insurance data for risk analysis, analyze the claims, policy movement & trends for analysis.
  • · Provided data analytics with reports and enhanced the data-to-report delivery time by 14 times.
  • · Eliminated the data errors and anomalies, automated and produced accurate monthly reports.
Data AnalyticsRisk AnalysisReport Automation

Maxim integrated

Engineer I, Yield Engineering

Mar 2016Jun 2018 · 2 yrs 3 mos

  • · Interacted with business owners to gather requirements by communicating efficiently for viable solutions.
  • · Analyzed large amount of manufacturing data to derive insights & provide scope to help business users.
  • · Managed a project to deliver solutions for product engineering team, which is an IDE based system designed to configure, visualize & reduce the manufacturing defects. Successfully delivered 4X faster than ECD.
  • · Performed actively in team to streamline the fault identification prediction success from 65% to 90% in 2 years.
Manufacturing Data AnalysisDefect IdentificationProject Management

Education

Monash University

Master of Data Science

Jan 2018Jan 2020

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