Paritosh Kumar Email & Phone Number

Bengaluru, KA, IN

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

• As a Lead data scientist at Paytm's digital advertising & Travel vertical that offers innovative solutions.Paytm- Travel
• Built and led a comprehensive data science team in Paytm Travel, set up data science infrastructure, and built pipelines for feature engineering, training, deployment, and A/B testing frameworks. Designed the ML system.
• ML solution to search rank all the relevant buses for the user based on their behaviour. Trained ML algorithm & provided ranking predictions for 25 million customers, encompassing 0.35 million buses..Performed AB.
• Cancellation Protect Flight: A ML Solution that predicts if a user is eligible for cancellation protect insurance while booking the flight & once after the eligibility also predicts the price of the premium amount..
• Designed a model for audience targeting that segments and targets users similar to those who are high-performing within a given advertiser or category, with the aim of improving campaign results and advertiser return.
• Identified customer personas and created cohorts based on behaviours observed on the Paytm app and ads; this initiative provided insights into hidden patterns and differentiated between good/average and active/dormant.

Bengaluru, Karnataka

• Operated as a Data scientist at a company that is recognised as the global leader in Industry 4.0
• Historical Time to Action: Developed a model to predict the time to take predictive maintenance action for machine related issues using inference modelling. Significantly reduce the resource cost saving by 50%.
• Batch Analytics: Developed a product for managing & predicting batch production in the FMCG sector which will help in forecast production planning & resource allocation. Successfully deployed the ML system for world.
• Proficy Csense: Developed an Industrial advanced analytics software for SME with No code Features and presented post sales demo for more than 20 global customers.
• Maintenance Interval Optimization: Used optimization algorithm to determine the proper predictive maintenance interval to avoid excessive or insufficient maintenance, which also help in reducing cost & risk.

⦿ Build an end-to-end analytical product for steel industry for open casting.⦿ Developed a new algorithm to change the classification threshold of ML models using mixed-integer programming which help us to make models for highly imbalanced datasets.⦿ Developed a failure prediction classification model for steel casting using machine learning models &.

Bengaluru, Karnataka

⦿ Build an end-to-end analytical product for the US govt to investigate child abuses in the country.⦿ Created an analytical tool for in-depth analysis of location-wise crimes with the unsupervised algorithm.⦿ Created a machine learning model which tried to predict the severity of the case with the past data.⦿ Worked on POC for image captioning for the.

Doctor Of Philosophy - Phd, Computer Science

Bachelor Of Technology - Btech, Computer Science