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Gauri Pande
Software Engineer
About
Gauri Pande is an experienced Software Engineer with a strong background in the information technology and payment industry. With a Bachelor's degree in Computer Engineering from Datta Meghe College of Engineering and a Master's degree in Computer Software Technology/Technician from the University of Applied Sciences, Gauri has gained a wealth of knowledge and expertise in her field. Gauri's technical skills include Python programming, machine learning algorithms, and data analysis. She has hands-on experience in building predictive models using various supervised and unsupervised algorithms, as well as in exploratory data analysis and feature engineering. Gauri has also built data pipelines and API-based model deployment using the Flask web framework and has utilized data visualization tools such as PowerBI for data intelligence and analysis. Currently working as an Intern at Opus Consulting Solutions, Gauri has attended sessions on the finance sector and recent advancements in the payment domain. She has also worked on the Spark framework to analyze and implement various machine learning algorithms and has learned about use-cases in the payment domain where machine learning can be applied. In her previous role as a Software Associate at Opus Consulting Solutions, Gauri worked as a Machine Learning Engineer in the Solutions Team. She was responsible for data analysis and implementation of various payment use cases including Merchant Risk Underwriting, Chargeback Prediction, Cash Forecasting for ATM, Fraud Detection, and Face Detection. Gauri has also integrated Neural Network for machine learning Engine 'Amora' and conducted sessions for freshers with the team, presenting about stages involved in building a machine learning model. Prior to her role at Opus Consulting Solutions, Gauri worked as a Working Student at STL GmbH. Gauri's relevant experience in the industry is 3.86 years. Overall, Gauri is a skilled and knowledgeable Software Engineer with a strong passion for machine learning and data analysis. She is a quick learner and a dedicated team player, with excellent communication and problem-solving skills.
Education
• hochschule fr technik stuttgart
• datta meghe college of engineering cidco sector iii airoli navi mumbai 400 708
• st. xaviers college
Companies
• stl gmbh
• university of applied sciences
• opus consulting solutions
Experience
5.3 Years
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Experience
Research Assistant
university of applied sciences | Stuttgart, Baden-Württemberg, Germany
2020 - 2021
Skills
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Algorithms
AngularJS
C
C++
Data Analysis
Information Technology
Ionic Framework
java
Machine Learning
Machine Learning (ML)
Microsoft Office
Node.js
PHP
Python
Contact Details
Email (Verified)
gauXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
hochschule fr technik stuttgart
Master of Science - MS
2019 - 2021
st. xaviers college
2006 - 2010
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