Rishabh Ojha

Data Scientist

Bengaluru, Karnataka, India7 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Ranked among top 25 in Analytics Vidhya community.
  • Expertise in Machine Learning and Predictive Modelling.
  • Proficient in developing end-to-end ML pipelines.
Stackforce AI infers this person is a Data Scientist specializing in Machine Learning and E-commerce solutions.

Contact

Skills

Core Skills

Machine LearningPredictive Modelling

Other Skills

AirflowAudio ProcessingCustomer ServiceData ScienceDeep LearningLeadershipLightGBMManagementMicrosoft ExcelMicrosoft OfficeMicrosoft WordPowerPointProject ManagementPublic SpeakingPySpark

About

Competitive Data Scientist, currently ranked among top 25 in student's community Analytics Vidhya. Expertise in Machine Learning and Predictive Modelling.

Experience

Phonepe

Data Scientist

Mar 2022Present · 4 yrs · Bengaluru, Karnataka, India

Capillary technologies

3 roles

Machine Learning Engineer II

Promoted

Apr 2021Feb 2022 · 10 mos

  • Working on developing incremental feature generator so as to avoid re-creating of already created feature set. And improve on the model training and inferencing time for larger as well as smaller dataset.
  • Working on creating an end-to-end ML pipeline for production deployment using Airflow.
  • Working on movement of xgboost model to lightgbm model with proper tuning. So that the training and inferencing time improves at the same time, model metrics and business level metrics doesn't get affected.
  • Tools used: Python, PySpark, Scala
PythonPySparkScalaMachine LearningPredictive Modelling

Machine Learning Engineer I

Jul 2019Mar 2021 · 1 yr 8 mos

  • Working on betterment of personalised product recommendations for consumers in retail and e-commerce.
  • Worked on repurchase model, Lapsation Classification, recommender systems (using RL Technologies) and NLP in offer recommendation for retail.
  • Developing end-to-end ML pipelines for problems in retail.
  • Worked on Building audio product pipeline end-to-end for consumers in retail by using audio as data.
  • Tools used: Python, PySpark, Scala
PythonPySparkScalaMachine LearningPredictive Modelling

Data Scientist Intern

Feb 2019Jun 2019 · 4 mos

  • Used machine learning models such as Random Forest, SVM, XGBoost to classify whether the customer will respond to a campaign or not.
  • worked on creating end to end pipeline for the same in airflow.
  • Worked on baseline of Data Validation framework, in order to validate quality of dataset before training and testing.
  • Tools used: Python, PySpark, Scala, R
PythonPySparkScalaRMachine Learning

Csir-central drug research institute

Data Scientist

Dec 2017Aug 2018 · 8 mos

  • · Data collection from web scraping and Visualization using plotting from ggplot2.
  • · Unsupervised learning methods used as an EDA to obtain desired accuracy of Art Gallery predictions.
  • · Model Building to predict number of galleries in different nation around the globe
  • · Relationship between different attributes such as population, country development rate, country
  • government type, etc. helped me a lot for prediction task

Cab day technologies

Operational Analyst

May 2016Jul 2016 · 2 mos · Jaipur Area, India

  • CabDay Technologies, a Jaipur based startup is focused on improving commuting through innovation and technology. CabDay aims to provide safe, reliable, comfortable experience at affordable prices.I as an Operation Analyst enjoy working here.

Education

The LNM Institute of Information Technology

Bachelor's degree

Jan 2015Jan 2019

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