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Ayushi (RID : 1dtksl8x0aizb)

designation   Data Engineer

location   Location : Jaipur

experience   Experience : 5 Year

rate   Rate: $16 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 0
Total Views : 43
Key Skills
Python SQL R Machine Learning
Discription

WORK HISTORY
Senior Quantitative Analyst
Extern Labs
02/2022 - Present, Jaipur, India
Achievements/Tasks

Utilized software engineering expertise to develop products throughout the software lifecycle to boost business efficiency, from ideation and requirement definition through to development and successful deployment. Assisted founder to turn the business concept into a market-ready cloud application by using machine learning techniques to analyze and forecast equity portfolio return. Developed a cloud-based application in R, which uses machine learning techniques to analyze the impact of various economic and social factors on returns of a portfolio. Developed scripts which downloaded, filtered and cleaned data from various data vendors. Build tools to automate basis and security processes.
Analyst
Accenture
03/2020 - 02/2022, Pune, India
Achievements/Tasks

Gleaned, cleaned, and processed data from various investment reports for model building. Updated an R package that downloaded, and processed real-time derivatives data from various repositories. Built a risk analytics web application to analyze the credit and investment risk of an Equipment Certificate Trust using R (shiny, shiny dashboard, and rhandsontable) and JavaScript.
Senior System Engineer
Infosys Limited, India
10/2017 - 03/2020, Pune, India
Achievements/Tasks

Developed 10+ Intelligent Enterprise Solutions that are driving process automation and innovation, unlocking new areas of growth, and delivering exceptional experiences. Worked on Python, R and SAP Predictive Analytics to prepare data, create models and manage their deployments. Developed solutions to serve businesses and solve common issues. Enabled various accounts on HANA PAL and Machine Learning.
Key Achievement : Automated labour-intensive invoice matching processes that uses Intelligent technologies to match criteria from your history and automatically clear payments.

 
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