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 2022 – Present · 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 2016 – Dec 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 2015 – Sep 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 2015 – Sep 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 2014 – Dec 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