Aditya Vikram Singh

Applied AI | Data Engineering | JPMC

Aditya Vikram Singh is an Applied AI and Data Engineering professional with a wealth of experience in implementing cutting-edge ML models to improve decision-making and mitigate losses. He is currently working for the global risk and fraud modelling team at JP Morgan, where he is responsib

6.9

Years of Experience

Education

Companies

jp morgan, home credit, home credit, byjus, kantar, tata power, barc

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Experience

2021 - Present
jp morgan
Data Scientist
• Nature of projects are highly confidential and crucial for now. • Working in something important to ensure quality experience for all by enabling ML for Masses
2020 - 2021
home credit
Data Scientist
• Responsible for creation of datapumps working at petabyte scale data in real-time and batch processing • Creation of behavioral model to predict the propensity of a customer for opting in for various products • Taking ownership for development of spark + Kafka data pipelines responsible for moving data from various data sources while maintaining integrity at each stage • Building Realtime Risk Monitoring Models to monitor and profile customers • Undertaking projects pertaining to development of data pipelines for high-speed processing and ingestion via Kafka /Spark • Implementation of OCR engine for parsing information available on various government issues ID cards and easing customer journey • Development of anti-fraud toolkits for the internal usage to flag suspicious users and transactions Show less
2019 - 2020
home credit
Junior Data Scientist
• Designing and executing PoCs at scale- to suggest new areas for implementation • Development and deployment models for production use on server less architecture • Providing crucial future trends using time series forecasting techniques • Building real time data ingestion for huge peak loads of TBs/hour • Providing stakeholders with distilled insights and suggesting possible course of action to mitigate and improve
2018 - 2019
byjus
Analyst
• KPI forecasting and intelligent alert system using Deep Neural Networks. • created custom algorithm to handle more than 8 million data points from scratch to integrate multi core processing in R for distributed training of models using Apache Spark. • Building clustering models with DBscan and O-ransac for grouping of consumers. • Created a forecasting neural network for predicting trends in the future • Creating dynamic Realtime dashboard using ShinyR and Tableau • Obtaining actionable insights from huge datasets using tools like teradata, hive, redshift and also creating scalable statistical models using python/R. Reporting key metrics using Tableau Show less
2017 - 2018
kantar
Business Analyst
• Created an optimization engine for recommending investment in various markets based on historical data and current trend of market • Created a markov chain model for predicting the customer behaviour in A/B testing • Automation of daily reports using R/vba • Creating optimized SQL queries and designing ETL as per need on a daily basis • Tableau Dashboards for reporting of various metrics.
2016 - 2016
tata power
Summer Intern
Various aspects of integration of new structure within the existing building
2016 - 2016
barc
Summer Intern
Developed a algorithm for detection of given objects using Ransac and Supervised Learning