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Lovish (RID : 15cyvln0q40c8)

designation   Python Backend Developer

location   Location : Jaipur, India, India, ,

experience   Experience : 8 Year

rate   Rate: $18 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 13
Total Views : 62
Key Skills
Python Pandas Pupeteer Numpy Matplotlib AWS Django GCP Angular Git HTML CSS MySQL SQL Docker
Discription

Senior Software Engineer,  (July’2022- Present)

Temperature Risk Alignment Model

Working on development of a model that helps in projecting the valuation of assets for various companies based on climate and physical risks under different carbon emission scenarios.

Environment: Python, Pandas, Numpy, Matplotlib, JupyterNotebook, Docker

 

Lead Technical Consultant, confidential (onsite), Gurgaon (May'2021-July 2022)

Market Risk Analysis

Working as model owner on the development of data pipeline that performs operations like preprocessing, calibration, data Blling, residuals Blling and scenario generation on different risk factors for bank .

Environment: Python, Pandas, Numpy, scikit learn, Matplotlib, Jupyter Notebook

 

Software Development Engineer -  confidential , Mohali (July’2019- Dec’2020)

Model Calibration for US Based Banks’ Mortgage Data

Worked for a US based client named confidential, the project aimed at

cleaning and analyzing client 7s data and then developing Machine Learning models to predict the competitor rates based on various factors like index rate, margin to index rate, prime rates etc.

Environment: Python 3.V, Pandas, Numpy, scikit learn, Matplotlib, AWS Sagemaker, Jupyter Notebook, AWS S3

Data Processing Pipeline

The requirement was to build data pipeline to perform ETL on Mortgage data of the several US based ’anks. The pipeline would extract the data from the csv format Bles that the client sends over, transform the data and then load the data into SQL tables and also export the same in the CSO Bles which is then used to load into a tool named NP5, which presents the data to the client.

Environment: Python, Pyspark, SQL, AWS S3, Pandas, Numpy, AWS, Sagemaker, Jupyter Notebook

 

Project Details
Title : Python Backend Project
Duration : (Month)
role and responsibileties :

Working on development of a model that helps in projecting the valuation of assets for various companies based on climate and physical risks under different carbon emission scenarios.

Description :

Temperature Risk Alignment Model

 

Environment: Python, Pandas, Numpy, Matplotlib, JupyterNotebook, Docker

 


 
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