Prabhjot Singh

Machine Learning Engineer

New Delhi, Delhi, India10 yrs 11 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Machine Learning and Data Engineering.
  • Led multiple successful projects in SaaS and Telecommunications.
  • Strong background in Big Data technologies and frameworks.
Stackforce AI infers this person is a Data Engineering and Machine Learning expert in SaaS and Telecommunications sectors.

Contact

Skills

Core Skills

Machine LearningMlopsData EngineeringBig Data

Other Skills

AndroidAndroid DevelopmentApache AirflowApache KafkaApache SparkBigQueryCC++CassandraComputer VisionDatabricksDeep LearningDockerElasticsearchFirebase

About

To serve humanity using my technical & analytical skills.

Experience

10 yrs 11 mos
Total Experience
1 yr 9 mos
Average Tenure
4 yrs 4 mos
Current Experience

Expedia group

Machine Learning Engineer 3

Feb 2022Present · 4 yrs 4 mos

  • Metrics Platform Team
PythonDockerJavaMachine LearningMLOpsKubernetes+1

Trademo

2 roles

Lead Software Engineer, Machine Learning

Promoted

Aug 2021Feb 2022 · 6 mos

  • Lead the Data Engineering and Machine Learning Team to build projects like HS Code classification, Merging of duplicate companies (Entity Resolution), TEU and shipment value estimation, Semantic similarity search for product keywords, Similar buyers and suppliers, Trade Risk Prediction using Denied Parties List, Country-wise data pipeline creation along with derived attributes computation using the raw fields.
  • Technologies used: Python, Scikit, PyTorch, Huggingface, Apache Airflow, Elasticsearch, MongoDB, PostgreSQL, Neo4j, Grafana
PythonScikitPyTorchHuggingfaceApache AirflowElasticsearch+6

Sr. Software Engineer, Machine Learning

Oct 2020Aug 2021 · 10 mos

  • Building Data and ML Platform from scratch @Trademo

Oyo

Machine Learning Engineer 2

Sep 2019Oct 2020 · 1 yr 1 mo

  • Part of the ML team under Consumer Technology group. Projects:
  • 1) Tagging and Sentiment Analysis of OYO reviews: Auto-tag user reviews related to Room, Washroom, AC etc. along with the sentiment using RoBERTa pre-trained model and XGBoost in Python using Scikit, NLTK etc. which reduced the dependency of manual classification.
  • 2) Auto-Classification of OYO Images: Classification of OYO images with a Deep Neural Network using transfer learning (ResNext) with PyTorch which reduced the dependency of manual classification, for 85% of the hotels.
  • 3) Hotel Content Scoring: Compute scores of OYO Hotels on the basis of their content to facilitate auditing and boosting good quality content hotels in the Search ranking algorithm using PySpark and Scikit which helps the hotels to improve and their content and get a boost in their ranking.
  • 4) Cancellation Prediction Model: Data sourcing, Pipelining, Feature Selection, Pre-processing, Model creation, Deployment and Monitoring using XGBoostClassifier in Python which led to jump in URNs and decrease in cancellations in Indonesia and Malaysia markets.

Airtel x labs

Sr. Software Engineer, Big Data

Nov 2017Sep 2019 · 1 yr 10 mos

  • Part of the Airtel Customer 360 vertical facilitating user data in real time. Projects:
  • 1) Airtel Logging and Monitoring Framework: Standardisation of Log creation, storage, parsing, information extraction and dashboard creation using FluentD, Telegraf, InfluxDB, Elasticsearch and Grafana. This framework became the logging standard for all projects across Digital Intelligence Team.
  • 2) Customer 360: Creation of user data snapshot pipeline for 600 million Airtel customers using Apache Kafka, Aerospike, Elasticsearch and Python. The system was used by 50+ internal services of Airtel to fetch user data attributes.

Gradeup (gradestack learning pvt ltd)

2 roles

Sr. Data Engineer

Promoted

Jul 2017Nov 2017 · 4 mos

  • Data Pipelining, storage, batched and real-time processing using Firebase, Apache Airflow, Elasticsearch, RabbitMQ and BigQuery. User personalization and feed optimization.
  • 1) Feed Optimization : Personalisation of user feed with overlapping K-Means clustering using Python, BigQuery and Elasticsearch. This improved the average time spent and CTR of the posts shown in the Feed.
  • 2) Analytics pipeline : Logging of user events using Firebase, initiating activity based triggers and setting up an analytics pipeline using Airflow and BigQuery. This project formed the basis of data monitoring systems and helped executing well-informed decisions.

Data Engineer

Aug 2016Jul 2017 · 11 mos

Snapdeal

Software Engineer

Jul 2015Aug 2016 · 1 yr 1 mo · New Delhi Area, India

  • Part of the Data Platform and personalisation team.
  • 1) Automation of user personalization and recommendation related projects: Trending Now, Frequently Bought Together, Similar Products using Spark, Cassandra and Kafka.
  • 2) Customer Experience Engine that sends personalized push notifications to users based on their past activity.

Education

Indian Institute of Technology Hyderabad

Master of Technology - MTech — Data Science

Jan 2017Jan 2019

Bharati Vidyapeeth, GGSIPU, New Delhi

B.TECH — Computer Science

Jan 2011Jan 2015

SSMS

Science

Jan 1999Jan 2011

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