Profile

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

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6.9

Years of Experience

Education

Companies

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

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Email

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Experience

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    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

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    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

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    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

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    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

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    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.

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    2016 - 2016

    tata power

    Summer Intern

    Various aspects of integration of new structure within the existing building

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    2016 - 2016

    barc

    Summer Intern

    Developed a algorithm for detection of given objects using Ransac and Supervised Learning

Experience

75 Skills

a/b testing

Amazon Elastic MapReduce (EMR)

Amazon Web Services (AWS)

analytics

Apache Hive

Apache Spark

Application Programming Interfaces (API)

architecture

Artificial Intelligence (AI)

Azure

Big Data

computer vision

Computer Vision

Convolutional Neural Networks (CNN)

Customer Retention

Data Analysis

Data Engineering

Data Mining

Data Pipelines

Data Science

Data Scientist

Data Warehouse

Data Warehousing

Deep Learning

Design

Education

etl

Excel

Extract, Transform, Load (ETL)

Feature Engineering

forecasting

hadoop

Hadoop

hive

Hive

Hypertext Transfer Protocol (HTTP)

infra

Infrastructure

Integration

Kafka

LESS

machine learning

Machine Learning (ML)

Microsoft Azure

Microsoft Word

ML

Mobile

Mobile Devices

Natural Language Processing (NLP)

nlp

Object detection

PowerPoint

Predictive Analytics

pyspark

pyspark

python

Python

Python

Pytorch

R

Recommendation system

Research

Research Scientist

Sagemaker

spark streaming

sql

SQL

System Design

Tableau

Teradata

test

testing

User Acquisition

Vision

Web

Education

    Colleagues at jp morgan

    Yeshwanth Kumar

    Software Engineer

    imgPhoneimgEmail

    Yogendra Sai

    Software Engineer I

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    Yogesh Choudhary

    Senior Software Engineer

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    Others named Aditya Vikram

    Aditya Vikram Dandapat

    Msc Data Science

     at jp morgan

    Aditya Vikram Jain

    Staff Software Engineer

     at jp morgan

    Aditya Vikram Singh

    Senior Machine Learning Engineer

     at jp morgan

    Aditya Vikram Monga

    Senior Software Engineer

     at jp morgan

    Aditya Vikram Dalmia

    Software Engineer

     at jp morgan

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    Colleagues at home credit

    Prakash Pandey

    Master Principal Software Engineer

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    Akhil Venkat Sarilla

    Associate Software Developer

    imgPhoneimgEmail

    Vaibhav Chahal

    Principal Software Developer

    imgPhoneimgEmail

    Khawar Aleem

    Lead Software Engineer

    imgPhoneimgEmail

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    Colleagues at home credit

    Prakash Pandey

    Master Principal Software Engineer

    imgPhoneimgEmail

    Akhil Venkat Sarilla

    Associate Software Developer

    imgPhoneimgEmail

    Vaibhav Chahal

    Principal Software Developer

    imgPhoneimgEmail

    Khawar Aleem

    Lead Software Engineer

    imgPhoneimgEmail

    Show more