Dr. Kamlesh Kumar

CTO

Mumbai, Maharashtra, India15 yrs 10 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in financial economics and technological innovations.
Proficient in advanced micro-econometrics and machine learning.
Published researcher in peer-reviewed journals.

Stackforce AI infers this person is a Fintech expert with strong analytical and modeling skills.

Contact

kamleshkumar22@ltfs.com LinkedIn

Skills

Core Skills

Machine LearningFinancial ModelingAnalyticsData AnalysisStatistical ModelingConsultingTeachingStatistics

Other Skills

AnalysisAnalytical SkillsAnalytical model designBERT (Language Model)Bayesian methodsBusiness process efficiencyCustomer acquisition modelingData MiningData-driven interventionsDeep LearningDuration AnalysisEconometricsEconomicsEnrollment optimizationFinancial intermediation

About

My research focuses on financial economics, particularly leveraging technological advancements and innovations in financial intermediation. I aim to conduct high-quality research addressing emerging challenges and global policy issues. By applying advanced micro-econometrics, machine learning, and transformer-based high-dimensional models, I explore the micro-foundations of macroeconomic problems in banking, institutions, and development. He holds a PhD degree in finance, an MPhil in economics, a master's degree in quantitative economics, and a bachelor's degree in mathematics. He has also published in peer-reviewed journals.

Experience

15 yrs 10 mos

Total Experience

3 yrs 6 mos

Average Tenure

1 yr 10 mos

Current Experience

L&t finance

Principal Architect (ML & AI)

Jul 2024 – Present · 1 yr 10 mos · Mumbai, Maharashtra, India · On-site

I focus on applying data-driven interventions to reduce information asymmetry in the lending business, fostering financial intermediation methods that promote inclusive growth for Bharat. I employ advanced micro-econometrics, machine learning, and transformer-based models to address the micro-level challenges in the lending business.

Machine LearningMicro-econometricsData-driven interventionsFinancial intermediationFinancial Modeling

Virtue analytics inc.

2 roles

Chief Analytics Officer

Oct 2019 – Apr 2024 · 4 yrs 6 mos

In his role at Virtue Analytics, he developed a SaaS platform that was helping universities optimize their net tuition revenue, student acquisition, enrollment, and retention.

SaaS platform developmentStudent acquisitionEnrollment optimizationAnalyticsData Analysis

Senior Data Scientist

Oct 2016 – Oct 2019 · 3 yrs

I developed shiny-based application for determining merit and need based optimal grant amount for students considering the students academic and demographic profile along with budget constraints of the university.

Shiny application developmentGrant amount determinationStatistical toolsStatistical ModelingData Analysis

Quantiphi, inc.

Senior Decision Analyst

Jan 2015 – Sep 2016 · 1 yr 8 mos · Mumbai Metropolitan Region

My role is to engage fellow decision analysts to design right analytical model to address the relevant business question with data driven approach. I am also involved with business stakeholders to derive right business questions in order to make their business process efficient and conducive for growth.

Analytical model designBusiness process efficiencyAnalyticsStatistical Modeling

Acrotrend

Consultant (Statistical Modelling)

Sep 2013 – Dec 2014 · 1 yr 3 mos · Navi Mumbai

Developed customer acquisition model for leading global player in media & event domain. This model has been adopted by a number of event management firms. Along with development work, I have also conducted training sessions for executives about using statistical tools such as R.

Customer acquisition modelingStatistical tools trainingStatistical ModelingConsulting

Uvt, netherlands

Teaching Assistant (Statistics and Econometrics)

Sep 2009 – Apr 2013 · 3 yrs 7 mos · Brabantine City Row

Statistics for econometricians for Bachelor students, Fall semester (2012), (tutorials).
Mathematics 2 for Bachelor students, Fall semester (2012), (tutorials).
Statistics 2, crash course for Masters, Summer (2012), (tutorials).
Statistics for IBA (International Business Administration), Spring semester (2012), (tutorials).
Macroeconomics for IBA (International Business Administration ), Spring semester (2010), (tutorials).

StatisticsEconometricsMathematicsTeaching