M

Mehul Dhikonia

Co-Founder

New Delhi, Delhi, India11 yrs 7 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in developing machine learning solutions for fraud detection.
  • Founder of multiple data-driven startups in Fintech.
  • Published research on news sentiment impact on trading strategies.
Stackforce AI infers this person is a Fintech expert with a strong focus on data science and machine learning.

Contact

Skills

Core Skills

Data ScienceMachine LearningProduct Management

Other Skills

Graph Neural NetworksFraud DetectionPredictive AnalyticsCredit Risk MonitoringReal-time InsightsSales and Marketing IntegrationAI SolutionsNews Sentiment AnalysisInvestment AlgorithmsC++JavaMatlabQuantitative FinanceCMongoDB

About

"Try. Fail. Learn. Repeat" - Encapsulates my work and life.

Experience

11 yrs 7 mos
Total Experience
2 yrs 7 mos
Average Tenure
4 yrs 1 mo
Current Experience

Bureau, inc.

Head of Data Science

Apr 2022Present · 4 yrs 1 mo

  • We are spearheading efforts to proactively detect and prevent financial fraud before it occurs. My team and I focus on developing and deploying sophisticated solutions in prevention of money laundering, identity and device risk decisioning, behavioral biometrics, and much more.
  • Recently, our specialized machine learning models, designed to analyze alternative risk signals, have been pivotal in assisting major Indian banks in identifying and intercepting money mules.
  • In addition to these efforts, I serve as the chief product architect of Bureau's Graph Identity Network (GIN) solution. This cutting-edge platform utilizes Graph Neural Networks (GNNs) and advanced graph algorithms to detect and disrupt fraud syndicates in real-time, providing unparalleled protection against organized financial crime.
  • For more details about our innovative solutions, you can explore Bureau's offerings https://bureau.id​
Machine LearningGraph Neural NetworksFraud DetectionData Science

Maroon.ai

Founder, Product and Data Science

Oct 2016Dec 2021 · 5 yrs 2 mos

  • As the leader of the data science initiative at Maroon since its inception, I have driven the development and implementation of cutting-edge, real-time business solutions.
  • Maroon empowered clients to assess and mitigate financial risks while delivering actionable, real-time insights.
  • Our expertise spanned credit risk monitoring, credit decisioning, and predictive sales intelligence, enabling smarter, data-driven decision-making.
Data SciencePredictive AnalyticsCredit Risk MonitoringReal-time InsightsProduct Management

Aviyos insights

Founder

Aug 2015Sep 2016 · 1 yr 1 mo

  • Aviyos - Predictive Insights enabled businesses to build robust pipelines and boost conversion rates through an account-based, full-funnel predictive analytics solution that seamlessly integrated sales and marketing efforts.
  • We have since evolved into Maroon, continuing to drive innovation and deliver value.
Predictive AnalyticsSales and Marketing IntegrationData Science

Premier logic

Data Scientist

Jul 2015Sep 2016 · 1 yr 2 mos

  • Collaborated closely with business leadership to incubate the data science practice at Premier Logic, driving the development of AI/ML-based solutions and automating complex workflows to enhance operational efficiency and deliver critical business insights.
  • Led the creation of custom machine learning models for unsupervised topic modeling and semantic analysis.
  • Additionally, developed an application that predicts consumer goods prices across various product categories by analyzing seasonality and competitor pricing
Machine LearningAI SolutionsData Science

Infotrie financial solutions

Financial Analyst

May 2014Dec 2015 · 1 yr 7 mos · Singapore

  • Specialized in developing machine learning-based News Sentiment Analysis algorithms to leverage the power of news for informed investment strategies.
  • Designed Equity and Forex investment algorithms by integrating News Sentiment Data from InfoTrie with traditional technical indicators for price forecasting.
  • Published a widely recognized research paper on the impact of sudden changes in news volume on the trade prices of specific equities and commodities.
  • Developed Equity/Forex investment algorithms based on News Sentiment Data generated by InfoTrie alongside traditional technical indicators used for price forecasting.
  • Published a well acknowledged research on impact of sudden change of news volume about a particular equity/commodity on it's trade price.
Machine LearningNews Sentiment AnalysisInvestment AlgorithmsData Science

Education

Indian Institute of Technology, Delhi

Integrated M.Tech — Mathematics and Computing

Jan 2010Jan 2015

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