Name: Alivelumanga Rangaswamy Email: ad2y3w@r.postjobfree.com

Python Developer ph no:682-***-****

SUMMARY OF QUALIFICATIONS

● Dedicated, hardworking individual with the interpersonal and communications skills to work and educate personnel at all levels of the organisation.

● Innovative problem solver with a high degree of research acumen and ability to manage multiple functions simultaneously.

● Experienced in writing SQL queries, and good knowledge of Relational databases (Oracle, MySQL).

● Ability to learn new technologies very quickly.

Skill Set:

Category

Details

Programming Languages

Core Java, Python, SQL

Databases

MySQL, Oracle

Front End

HTML, CSS, JAVASCRIPT, jQuery, DOM

Backend

Django

Operating Systems

Windows, Unix

Miscellaneous Tools

Git, GitLab, Azure, NumPy, Pandas

Education Qualification:

Master’s in Mathematics And Computer Science Jan 2022 – Dec2023

(University of Texas at Arlington, Arlington, TX)

Bachelor’s in computer science Aug 2017– Aug2021

(Acharya Nagarjuna University,Guntur,Andhra pradesh)

Projects (University of Texas at Arlington)

● I have done sql analysis on IMDB data

● Implemented various machine learning algorithms like KNN, Logistic Regression, LinearRegression, Decision Tree ..etc. on different data sets to evaluate model accuracy, f-1 score, precision, recall

● I have done capstone project Covid -19 data to predict covid cases using multiple linear regression, time series,PCA and applied optimization techniques lasso, ridge regression

Projects(Acharya Nagarjuna University)

●· Blog Project Using Django A blog (a shortened version of “weblog”) is an online journal or informational website displaying information in reverse chronological order, with the latest posts appearing first, at the top. It is a platform where a writer or a group of writers share their views on an individual subject. I have deployed the project on GitHub.

●Delivered Keynote on Image classification through Machine Learning, International Conference on RecentAdvances in Computer Science and Engineering (IC-RACE) 2019

● Spam Detection Using Machine Learning

Spam detection is a supervised machine learning problem. This means you must provide your machine learning model with a set of examples of spam and ham messages and let it find the relevant patterns that separate the two different categories. Most email providers have their own vast data sets of labelled emails

CO-CURRICULAR ACTIVITIES

· Class representative in 1st year.

· I have participated in Chess Competition in the GIRLS YOUTH FESTIVAL-2018 held on the event of INTERNATIONAL WOMEN'S DAY

Contact this candidate