Data Software Developer
Resume:
Work History
Education
ACADEMIC PROJECTS
Application
Developer At
Applaud
U.AJAY
KUMAR
Contact
Address
Hyderabad, TG, 500008
Phone
**********@*****.***
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