Experience

Totido

• India
• Financial Services
• 1 - 100 Employee

• AI Researcher

  • Jun 2023 - Present

  Delhi, India



Mobileum

• United States
• Telecommunications
• 700 & Above Employee

• Lead Data Scientist

  • Jul 2022 - May 2023

  Gurugram, Haryana, India SMS fraud detection in real time



Sofitra

• Belgium
• Business Consulting and Services
• 1 - 100 Employee

• Working Partner Data Scientist

  • Feb 2020 - Dec 2021

  Consultant Data Scientist (February 2020- December 2021)


Infoedge India Ltd.,
• IT Services and IT Consulting
• 500 - 600 Employee
• Senior Data Scientist

  • Sep 2019 - Feb 2020

Paytm
• India
• Financial Services
• 700 & Above Employee
• Data Scientist

  • Dec 2018 - Sep 2019
• Senior Data Scientist

  • May 2016 - Sep 2018

  Gurgaon, India Fraud Detection: Billions of CDR are analysed using cutting edge tool and technique for real-time telecom fraud detection. • Tools-technique applied: Python, Scala, Spark , Tableau, Feature engineering, Various Supervised, unsupervised techniques.



Inventra Technologies Pvt Ltd

• India
• Information Technology & Services
• 1 - 100 Employee

• Consultant Data Scientist

  • Apr 2015 - Apr 2016

  Noida Area, India Architect and built whole recommendation engine. A. Recommendation engine: • Guided data scrapping team for scrapping data • Designed schema for mongodb for storing the data • Validated scrapped data • Extracted feature from the raw data • Handled cold start problem • Build algorithm for the recommendation engine • Supervised algorithm implemented for the recommendation engine are K nearest neighbor, Collaborative filtering, • Unsupervised algorithm… Show more Architect and built whole recommendation engine. A. Recommendation engine: • Guided data scrapping team for scrapping data • Designed schema for mongodb for storing the data • Validated scrapped data • Extracted feature from the raw data • Handled cold start problem • Build algorithm for the recommendation engine • Supervised algorithm implemented for the recommendation engine are K nearest neighbor, Collaborative filtering, • Unsupervised algorithm implemented for recommendation engine are frequent item set, latent dirichlet allocation (LDA), Kmeans clustering • Tools used: Mongodb, Python libraries, numpy, scipy, scikit-learn, pandas, Pymongo B. Review Analysis: • Mined opinion about the product using sentiment analysis techniques. Used that opinion to tag and enhance the content data • Tools used: Python, NLTK C. Record Linkage: • Mapped data obtained from the different source into a single file • Tools technique used: Python, Jaccard Cofficient Show less



Trinity College Dublin

• Ireland
• Higher Education
• 700 & Above Employee

• Research Scholar

  • Jun 2012 - Feb 2014

  Dublin Nowadays, there has been skyrocketing demand in data surge. Therefore, there is need of massive network densification along with various technological advancements to meet the demand. Deploying macro cells to meet these demands is not economically viable due to high capital and operational cost. Therefore, operators would be deploying dense small cell networks to meet these demands. Small cell has issues of interference and mobility management. We were targeting to sort out the mobility… Show more Nowadays, there has been skyrocketing demand in data surge. Therefore, there is need of massive network densification along with various technological advancements to meet the demand. Deploying macro cells to meet these demands is not economically viable due to high capital and operational cost. Therefore, operators would be deploying dense small cell networks to meet these demands. Small cell has issues of interference and mobility management. We were targeting to sort out the mobility management issue by exploring the techniques of coordination among small cells and predicting the cells in advance for optimal resource management. For this, an optimization problem was formulated and solved using cplex tool. Show less



Airvana India

• India

• R&D Engineer

  • Aug 2011 - Jun 2012

  Banglore



Indian Institute of Technology, Delhi

• Higher Education
• 700 & Above Employee

• Teaching Assistant

  • 2009 - 2011

  Delhi Area, India