Rahul Kapil

CEO

Delhi, India14 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

12 years of experience in analytics and machine learning.
Led data science initiatives impacting millions in India.
Expert in credit scoring and fraud detection systems.

Stackforce AI infers this person is a Fintech expert with a strong focus on data science and machine learning.

Contact

rahulkapilworld@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData Science

Other Skills

Agile MethodologiesAlgorithmsAnalyticsBig DataBusiness IntelligenceCC++Credit scoringData AnalysisData MiningData ModelingData analysisE-commerceEarly-stage StartupsEntrepreneurship

About

With 12 years of experience in analytics and 10 years in machine learning, I am a seasoned data science leader and practitioner who is passionate about creating data-driven products that impact millions of lives. As the Senior Vice President of Data Science at Spice Money, I lead the development and deployment of machine learning products for Bharat, the underserved and untapped market of India. My core competencies include credit scoring, fraud detection, recommendation systems, and location intelligence, which I leverage to build innovative and scalable products that enhance the financial inclusion and empowerment of Spice Money's customers. Some of my recent achievements include creating a credit scorecard based on alternative data, building a low-cost on-device fraud detection model, and developing a cutting-edge location recommendation engine. I also enjoy mentoring and training aspiring data scientists and sharing my insights and learnings through consulting, blogging, and speaking engagements.

Experience

14 yrs 4 mos

Total Experience

2 yrs

Average Tenure

7 yrs 2 mos

Current Experience

Spice money

4 roles

Executive Vice President | Data Science & ML

Sep 2024 – Present · 1 yr 8 mos

Heading Data Science, Machine Learning and Strategic Products

SVP & Head - Data Science | Product

Promoted

Nov 2023 – Sep 2024 · 10 mos

Heading New Products, Strategic initiatives, Data Science & ML at Spicemoney

SVP - Data Science

Promoted

Jul 2021 – Oct 2023 · 2 yrs 3 mos

Building Machine Learning driven products for a Billion Bharat customers.
Created Credit Scorecard based on alternative data - Spice Score.
Built Bureau only digital lending program with supervised learning on credit bureau tradelines.
Built low cost on device fraud detection model with detects outliers at 0.01% occurance rates.
Built cutting edge location recommendation intelligence to help users find their Spice merchant - Spice Search.

Credit scoringFraud detectionRecommendation systemsLocation intelligenceMachine LearningData Science

Head of Data Science

Feb 2019 – Jul 2021 · 2 yrs 5 mos

Hands on Data Science lead with mandate to create analytics and ML infrastructure and team.

Ayopop

Head - Data Science

May 2018 – Jan 2019 · 8 mos · Pune Area, India

Headed ML team for Ayopop - Largest Bill payments provider in Indonesia.
Created lending and credit risk products for largest South East Asian market.

Cointribe technologies

2 roles

Principal Data Scientist

Promoted

Mar 2016 – May 2018 · 2 yrs 2 mos · Gurgaon, India

Cointribe offers Risk evaluation systems for Credit. Largest p2p marketplace for SMB loans in India.
Helped create one of the leading Fintech company in India.
Principal Data Scientist in charge of making Credit Scoring solution; Risk management; Fraud detection; customer profiling and analytics

Lead Data Scientist

Jul 2015 – Mar 2016 · 8 mos · Gurgaon, India

Founding team at one of India's most promising fintech startup.

Machineparty, inc.

Data Scientist - Consultant

Jan 2015 – Jun 2015 · 5 mos · San Francisco Bay Area

Consulting work for startup - MachineParty. The company launched the product to market in May 2015. They have since winded up operations.

Snapdeal

2 roles

Lead Data Scientist

Apr 2014 – Jan 2015 · 9 mos

Data Scientist (Klickpay)

Oct 2013 – Apr 2014 · 6 mos

Data Strategy, Delivering Business goals by growing in house data capabilities, Building Analytics team, Developed User Reputation Index, Risk Assessment, Fraud detection algorithms, Recommendation engine

Ibibo group

Data Scientist

Oct 2012 – Oct 2013 · 1 yr · Gurgaon, India

Managing and implementing innovations on Data Science and Business Intelligence fronts for business units at IBIBO group.
Responsible for developing models for Big data platform, streaming data analytics, Time series analysis, Buyer Profiling, Classification modeling, CRM system optimizations, Clustering algorithms, recommendation engines, rating systems, targeted marketing systems, search engine analytics, User Feedback analysis using text mining.

Parametric technology corp.

Data Analyst

Jul 2011 – Jul 2012 · 1 yr · Gurgaon, India

Was responsible for Forecasting, Predictive Analytics, Inventory stock and price prediction, Inventory optimizations.
Models used: Logistic regression, K-means clustering, conjoint analysis, PCA, Factor analysis, ANOVA, Random Forest.

Bias - bremer institut für angewandte strahltechnik gmbh

Staff Scientist

May 2010 – Aug 2010 · 3 mos · Bremen Area, Germany

As a part of data science internship I preformed:
Experiments, Modeling and Simulation of Solid State crystals and their Bond destruction using high power lasers.
Was involved in numerical simulations and visual analysis of experiments.
Developed Statistical and PreVis models from ground up using MATLAB, Mathematica and LabVIEW.