Work History

Education

ACADEMIC PROJECTS

Application

Developer At

Applaud

U.AJAY

KUMAR

Contact

Address

Hyderabad, TG, 500008

Phone

891-***-****

E-mail

aded47@r.postjobfree.com

LinkedIn

https://www.linkedin.com

/in/u-ajay-kumar-/

Skills

Python

Machine Learning

Probabilty and Statistics

Data visualization,Cleaning

Data

C++,SQL,PLSQL,XML

Data Structures and

Algorithm

NLP

Amazon web services

Deployment of ML

models(ongoing)

Standard Template

Library(C++)

To have a growth oriented and challenging career in an organization, where I can significantly contribute my knowledge and skills for the success of the employer and enhance my experience through continuous learning and teamwork.

Application Developer

Applaud Solution, Hyderabad, Telangana

· Around 1 year of experience as a Software developer using Oracle, PL/SQL, XML, Oracle E-Business Suits.

· Coordinated with the Front-end team to provide them with the necessary insight into the data.

· Involved in continuous enhancements and fixing the production problems.

· Implemented packages to fetch complex data from

different tables in remote databases using joins and sub queries.

2019-06 -

Current

Bachelor of Engineering: Information

Technology (secured 8 Cgpa)

VNR VJIET - HYDERABAD

2015-06 -

2019-06

Data Science With Python (secured 95%)

MYDATACAFE

2019-07 -

2020-01

Fitting Statistical Models To Data With

Python

University of Michigan Secured(93.3%)

2019-11 -

2020-01

Predicting Employee Churn in Python : Dealing with Employee data, did extensive data preprocessing, feature engineering and implemented a tree model

to predict whether employee will churn or not with an accuracy of 98%.

Face Detection and Recognition : Able to detect the Certifications

face and recognize it with a confidence interval of 75%.

The Snake Game : Game involves the player

controlling a snake to eat items,making it longer by accumulating fruits

Predicting Credit Card Approvals : Built an

automatic credit card approval predictor using

machine learning techniques.

Classify Song Genres from Audio Data : classify a

song's genre based on the features such as

danceability,energy, acousticness and tempo.

Fake news classifier : Built a face news detector by supervised machine learning and NLP

Chatbot : Built a chatbot where human language

will be given as instruction to machines,with the help of rule bases system

and machine leaning also able to connect the

chatbot to Facebook messenger

Machine learning using Python

Understanding and Visualizing Data with Python

Statistics with Python

Cluster Analysis in Python

Cleaning Data, Dealing with Missing values and

Preprocessing,

Database Design and Joining Data

Contact this candidate