Rupali KaPatel

AI Researcher

Bengaluru, Karnataka, India15 yrs 10 mos experience
Highly Stable

Key Highlights

  • Over 11 years of experience in data science.
  • Expert in building end-to-end data science products.
  • Led teams to solve complex problems in digital advertising.
Stackforce AI infers this person is a Data Scientist specializing in MarTech with a strong focus on machine learning and data analytics.

Contact

LinkedIn

Skills

Core Skills

Data ScienceMachine Learning

Other Skills

CC++ClusteringCross device matchingData transformation techniquesFeature selectionJavaLinuxMulti-Armed Bandit algorithmsMySQLOutlier DetectionPredictive ModelingProbabilistic modelingPython (Programming Language)XML

About

A data scientist with over 11 years of experience who has worked on different kinds of data to gain value out of it by using analytical, machine learning and big data skills. Currently leads a team of data scientists, senior data scientists in collaboration with software developers to build end to end data science products to solve cutting edge problems at MiQ. Involved in number of products which help solve core problems in the field of digital advertisemen such as, -Digital Ad fraud detection which helps detect ad fraud and prevent it in real time. -Building a cross device graph (a comprehensive multi-device profile of a user), by using statistical approaches and implementing it on large datasets. Also responsible for designing and implementing interesting insights to make client understand user's cross device behavior. -Lookalike user and feature prediction using random forest and different clustering techniques, which could help reach potential prospects on very large datasets using big data tools and technology. -Product which aims to automate trading in digital advertisement. The project uses Multi-Armed Bandit algorithms to shuffle media budgets among different campaigns and requires some tweaking around the algorithms to imitate the behaviour of a trader in an accurate way.

Experience

15 yrs 10 mos
Total Experience
1 yr 6 mos
Average Tenure
8 mos
Current Experience

Microsoft

Senior Data Scientist

Oct 2025 – Present · 8 mos · India

Prismforce

Senior Data Scientist

Apr 2025 – Sep 2025 · 5 mos

Embibe

2 roles

Lead Data Scientist

Apr 2021 – Sep 2025 · 4 yrs 5 mos

Predictive ModelingData Science

Senior Data Scientist

Nov 2019 – Aug 2022 · 2 yrs 9 mos

  • At embibe I am working on product which involves solving mathematical problems in automated fashion. And building NLU engine to generate the mathematical questions with solution in automated manner.
Predictive ModelingData Science

Miq

Team Lead, Data Science

Jan 2018 – Oct 2019 · 1 yr 9 mos · Bengaluru, Karnataka, India

  • Led the team of data scientists, senior data scientists in collaboration with software developers to build end to end data science products to solve cutting edge problems at MiQ.
  • Leading Product which aims to automate trading in digital advertisement. The project uses Multi-Armed Bandit algorithms to shuffle media budgets among different strategies and requires some tweaking around the algorithms to imitate the behavior of a trader in an accurate way.
Predictive ModelingData Science

Media iq digital india pvt ltd

Senior Data Scientist , Data Science Team

Jan 2017 – Dec 2017 · 11 mos · Bangaon, West Bengal, India

  • Working on Feature selection problem to extract the best feature/feature combination for effective targeting through APB ( Appnexus programmable bidder).
  • Exploring different approaches based data transformation techniques for data set preparation. Exploring various supervised+unsupervised machine learning models for top feature extraction.
  • Technologies : amazon aws, hive , spark-sql, Spark(pyspark), R

Media iq digital india pvt. ltd

Data Scientist , Data Science Team

Jan 2016 – Dec 2016 · 11 mos · Bangalore

  • Working on a probabilistic model to generate the device graph which identifies Internet users exists across multiple channels for cross device tracking.
  • Experimented various supervised models for cross device matching.
  • Researched and evaluated cross device third party data to measure its impact in terms of insights and targeting.
  • Technologies : amazon aws, hive, R, Python,Java
  • Automated a completed pipeline to generate various cross device based insights to understand campaign level cross device behaviors.

Media iq digital ltd

Data Analyst, Data Science Team

Nov 2014 – Dec 2015 · 1 yr 1 mo · Bangalore

  • Worked on Different Fraud Detection Techniques to prevent ad frauds.
  • Explored Clustering and Outlier Detection techniques to detect anomalies.
  • Implemented end to end pipeline to detect anomalies and block the fraudulent traffic.
  • Big Data technologies : Hive ,R

Impetus infotech (india) pvt. ltd.

Analytics Engineer

Jul 2013 – Nov 2014 · 1 yr 4 mos · Greater Indore Area

  • Worked in Data Science Practice Group at Impetus Infotech Pvt. Ltd.
  • Worked on R and Java technology to implement various machine learning algorithms which mainly includes following area:
  • Classification and Clustering Problems.
  • Data Quality and Data De-Duplication solutions.
  • Text Mining (Sentiment Analysis, Text summarization, Topic Modeling).

Dhirubhai ambani institute of technology,gandhinagar

Teaching Assistant

Jul 2011 – Jun 2013 · 1 yr 11 mos

  • Research assistant for the courses : Data Structured and Algorithms, Computer Networks

Dharmsinh desai university

Lecturer

Jul 2010 – Jun 2011 · 11 mos

  • Took lectures for the courses : Artificial Intelligence, Data Structures , Computer Networks

Charotar university of science & technology (charusat)

Lecturer

Jan 2009 – Jul 2009 · 6 mos

  • Took lectures for the course : Operation Research

Education

Dhirubhai Ambani Institute of Information and Communication Technology,Gujarat

Master of Technology (MTech) — Information and Communication Technology

Jan 2011 – Jan 2013

Anand HighSchool , Anand

Jan 2002 – Jan 2004

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Rupali KaPatel - AI Researcher | Stackforce