Python Data

SAI SRINIVAS RACHAPALLI

Email: *********************@*****.***

Mobile: 949-***-****

PROFESSIONAL SUMMARY

Associate Software Trainee

•A beginner with extensive conceptual knowledge in python.

•Exposure in end-to-end development python scripting, right from requirement analysis, system study, designing, coding, testing, documentation, and implementation.

•Skilled in implementing efforts towards enhancement and maintenance of python scripts.

•Effective communicator with excellent relationship building & interpersonal skills possesses a flexible & detailed oriented attitude with strong analytical, problem-solving & organizational building abilities.

•Basic knowledge and hands-on experience in Machine learning algorithms.

TECHNICAL - SKILLS

Development Editor:

•Pycharm, Jupyter Notebook.

Scripting Language:

•Python

Operating Systems:

•Win 10x

Cloud Technology:

AWS

PROFESSIONAL EXPERIENCE

Organization:

•Organization : ITCRATS Info Solutions.

•Position : Associate Software Trainee

•Responsibility : Working in Python Scripting.

•Duration : Since Augest,2018.

Project Description:

This Project involves data conversion from EBCDIC to ASCII Conversion.

Developing automated scripts using python and convert files from EBCDIC to ASCII locally and create deployment packages to upload to AWS development environment services such as Lambda, S3, Cloud watch.

Project Name

EBCDIC to ASCII Conversion

Role

Associate Software Trainee

Technology Used

Python, Mainframe- Cobol, Easytrieve, assembler layouts.

Responsibilities:

•Involving with clients and other internal teams to understand client requirements and deliver the tasks within time.

•Analysis of datafiles using Cobol, assembler, Easytrieve mainframe layouts.

•Splitting and processing the data into tables using python

•Write effective, scalable code.

•Test and debug programs, locally as well as in AWS cloud environment.

•Completing the user stories within the deadline and delivering on time.

Certification and trainings:

Certification on Data Science from private organization.

•Assignments: Python Statistics, Data Analysis

•Key Result Areas:

• Knowledge on Python Programming concepts.

• Real-time hands-on experience on problem-solving techniques.

• Hands-on experience in Data statistics for different types of problems with different techniques.

• Good understanding the issues, providing proper clarifications and getting the defect fixes quickly

• Have exposure towards Jupyter notebook tool.

Certification Project: Relative Humidity Prediction Analysis

Description:

•In this project, we had processed the dataset that contains air quality of an Italian city coming with 9358 instances of hourly averaged responses from an array of 5 metal oxide chemical sensors embedded in an Air Quality Chemical Multi sensor device. We have replaced the null values with forward fill. Plotting with dependent and independent variables and splitting the data into train and test datasets, there after applying multiple Machine Learning algorithms to show a comparative analysis of the performance of each algorithm. Finally, we will look at the results and finalized with algorithm fits for this dataset.

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