Raja Tiwari
Software Engineer
Bhopal
Summary
Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.
Overview
2
2
years of professional experience
6
6
years of post-secondary education
4
4
Certificates
1
1
Language
Work History
Member of Technical Staff
Rakuten symphony
Bangalore
11.2021 - Current
- Analyzed client business processes to propose optimal software applications for unique requirements.
- Presented business leaders with ROI estimations to drive project planning.
- Maintained authoritative knowledge through continued education and ongoing training.
- Authored best practices documentation for use in new personnel onboarding processes.
- Troubleshot systems comprised of security alarms and Internet connectivity with 60% accuracy.
Software Developer Intern
Nagarro
Gurugram
09.2021 - 11.2022
- Supported development, QA and user experience staff to develop new products.
- Gone through python, data structure training.
- Learned software engineering process improvements and best practices.
- Wrote clear, clean code for 5 projects.
Education
B.Tech - Computer Science And Programming
Lakshmi Narain College of Technology
Bhopal 08.2017 - 08.2021
12 th - PCM
Gov. Excellence Higher Secondary School
Sagar 08.2014 - 07.2015
10th - PCM
Vidhyalaya Vishwa Bharti Sagar
Sagar 07.2012 - 08.2013
Skills
Data Structure and Algorithm, Data analysis, Data Science , Machine Learning, Data visualization, Statistical Analysis, Data Preprocessing , Web Scrapping
Accomplishments
- Collaborated with team of 4 in the development of memory lost.
- Resolved product issue through consumer testing.
- Achieved Error free connection through effectively looking at the logs and PCAPS.
- Helping the team to figure churn rate.
- Machine learning solution to predict the churn with 89% accuracy.
- Figure the Problematic factors and analyze them to find a conclusion
- Find a solution of predicting Credit Card fraud Transactions.
- Create a supervise Machine learning model to predict the fraud transaction.
- Recommend the items to the customer.
- Developed a model to recommend according to user's interest.
- Recognizes Hand Written digits.
- Create a model to recognize Digits with High accuracy using Supervise machine learning.
- Lead the team and providing them constant support.
Troubleshooting Bugs, Rakuten Symphony
Telecom churn prediction , Skillslash academy
Credit Card Fraud Detection, Skillslash academy
recommendation system , Skillslash academy (ongoing)
Digit Recognition , LNCT
Certification
Python for machine learning NPTEL (IIT Madras)
Timeline
Member of Technical Staff
Rakuten symphony
11.2021 - Current
Software Developer Intern
Nagarro
09.2021 - 11.2022
B.Tech - Computer Science And Programming
Lakshmi Narain College of Technology
08.2017 - 08.2021
12 th - PCM
Gov. Excellence Higher Secondary School
08.2014 - 07.2015
10th - PCM
Vidhyalaya Vishwa Bharti Sagar
07.2012 - 08.2013
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