I'm a developer with a demonstrated history of working in the information technology and services industry. Having skills in Python, Data Analysis, Java, and Machine Learning. Information technology professional with a Bachelor's degree focused in Electrical, Electronics and Communications Engineering from SRM University.
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Experience
Professional Experience: 1.9 Years
FARMERS INSURANCE PROJECT:- Feb 2019 - Present | Hyderabad
To Replace the Legacy Farmers Insurance Policy Center with Guidewire Insurance Product. For Insurance modules PolicyCenter and ClaimsCenter.
Roles and Responsibilities:
• Done Conversion from Mule 3 to Mule 4 for Address API in Mulesoft Integration Development.
• Performed unit testing through Munit (Integrated Mulesoft testing unit).
• Developed Flow for Address API in Mulesoft Integration Development.
• Tested API using SOAPUI.
• Code changes in IIB IBM integration toolkit with respect to business requirements.
• Defect life cycle management and analysis of defects.
DEPARTMENT OF POSTS PROJECT:- Sep 2018 – Jan 2019 | Noida - Delhi, UP
The scope of the project includes developing and supporting mail, finance & accounts, customer interaction management solutions for all channels including the rural ICT platform, data migration,
infrastructure, Service Level Agreement (SLA), call center and centralized 24x7 service desk operation for all DoP. The end-to-end security solutions, Enterprise Management System (EMS) and an
overall integration for the entire system is the responsibility of CSI.
Roles and Responsibilities:
• Process Monitoring Using Spectrum.
• Generating Reports for hardware utilization using E-Health.
• Monitoring using Unified Infrastructure management tool.
• layer-wise monitoring using Service operation insight for DOP applications.
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Projects
Personal assignments and projects I have worked on :
1. Performed Data Visualization with Haberman Dataset.
2. Applied T-SNE on Amazon reviews with polarity based color coding.
3. Applied K Nearest Neighbours on Amazon Food reviews.
4. Applied Naive Bayes on Amazon Food reviews.
5. Applied Logistic Regression on Amazon Food reviews.
6. Implementing SGD for Linear regression Algorithm-Building Linear Regression from Scratch.
7. Applied Support vector machine on Amazon Food reviews.
8. Applied Decision Trees on Realtime Amazon Food reviews.
9. Applied RandomForest Gradient boosting Decession Trees on Realtime Amazon Food reviews.
10. CaseStudy Project on Quora Question pair Similarity.
11.CaseStudy Project on Cancer Diagnosis.
GitHubLink:-
https://github.com/saikumarpochireddygari