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Rishikesh Mule
Senior Software Engineer | Mastercard | Ex-SAP Labs | Ex-Fis
About
Rishikesh Mule is a highly skilled Senior Software Engineer with over 8 years of experience in the industry. He has a proven track record of delivering exceptional results in fast-paced and team-oriented environments. Rishikesh possesses excellent analytical and technical skills, and has extensive programming experience in C, C++, Python, R, Linux, SQL, PL/SQL, shell scripts, and AWK. Rishikesh has exposure to business processes and has worked on cutting-edge technologies such as Machine Learning, Deep Learning, Computer Vision, IOT, AWS, cloud, Sagemaker, S3, and Azure. He is a strong research professional with a Master of Technology (MTech) degree focused in Computer Science from Vellore Institute of Technology. Currently working as a Senior Software Engineer at Mastercard, Rishikesh has previously worked at FIS as a Software Engineer II and at SAP as an R&D Intern. He has a diverse range of experience across different industries, which has equipped him with a broad perspective and a deep understanding of the software development process. Rishikesh's TechStack includes Software Engineering, SQL, AWS, Computer Vision, Sagemaker, Deep Learning, Python, ML, Research Scientist, and Azure. He is a highly motivated individual who is always looking for new challenges and opportunities to learn and grow.
Education Overview
Companies Overview
• amdocs
• sap
• jade global software pvt. ltd
Experience Overview
9.4 Years
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Experience
Skills
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Amazon EC2
Amazon S3
Amazon Web Services (AWS)
Artificial Intelligence (AI)
AWS
Azure
C
C (Programming Language)
C++
Caffe
Computer Vision
Core Java
Data Analysis
Data Science
Data Structures
Data Visualization
Database Performance Optimization
Databases
Deep Learning
Demand Forecasting
Eclipse
Exploratory Data Analysis
HTML
Internet of Things (IoT)
Java
Java Enterprise Edition
JavaScript
Keras
Linear Regression
linux
Logistic Regression
Machine Learning
Machine Learning (ML)
Microsoft Azure
Microsoft Office
NLP
Optimizing Performance
Oracle
Oracle Applications
Oracle E-Business Suite
PL/SQL
Predictive Analytics
Python
R
Random Forest
Requirements Analysis
Research
Research Scientist
Sagemaker
SAP
SAP HANA
Scikit-Learn
Software Engineer
SQL
Statistics
Supervised Learning
Time series forecasting
Unsupervised Learning
Vision
Web Services
XML
Contact Details
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+91XXXXXXXXXXEducation
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