my personal resume

1. Dheeraj Reddy
Ameerpet, 500073, Hyderabad | +91 8856875198 | dheerajreddymumma@gmail.com
Objective
To Secure a position where I can efficiently contribute my skills and abilities for the growth of the
organization and build my professional career.
Education
BACHELOR’S IN COMPUTER SCIENCE | JULY 2012 - MAY 2016 | PICT PUNE
· GPA: graduated with GPA of 3.95/4 in my final year.
· Courses: Discrete structures, Data Structures, DBMS, Computer networking, Web Engineering, Design
and Analysis of algorithms, operating systems, Advanced Databases, Information and Cyber Security,
Machine learning, Software Modeling and Design.
Technical Knowledge
Programming Languages : Python, C++, Java, Javascript, ABAP
Databases : MySQL, MongoDB, HANA
Front- End Tools : HTML, CSS, BOOTSTRAP, Angular.js, Fiori
Back-End Frameworks : Django, Node.js
IDE : PyCharm, Ipython notebook, Eclipse, Visual Studio,
Atom, Bracket
Certification
Coursera: Accessing Python to Access web, Design and Analysis of Algorithms, Front-End JavaScript
Frameworks: AngularJS, Server-Side Development with NodeJS, Data Management and Visualization,
Machine Learning: Regression, Machine Learning: Classification, Intro to deep Learning
SEED Infotech: Java Programming language
CODECHEF: Design and Analysis of Algorithms
Achievement
• Won 1st place in VIT JAVA Coding Competition
• Won MVP award at my first year at SAP Labs
Projects
• Real Time, Personalized HealthCare Analytical Engine (College Project Sponsored by
LiveHealth): An Analytical Web Engine was developed using 3 sectors: patient analytics, clinic
analytics, and global analytics. The Data was fetched from LiveHealth’s MySql database and
Django was used as the server-side technology. D3.JS was used on the front-end for plotting
graphs.
• Restaurant Website: Built a restaurant website as assignments for Coursera course. I used
HTML, CSS, and Angular.js for implementing the Front-end, Additionally I have also used Gulp for
automating tasks. On the backend, I made use of Node.js for implementing the REST service.

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MongoDB was used for storing the data. We Additionally used OAuth 2.0 authorization for
allowing users to sign-in from google or facebook.
• Recommender Engine: Recommender engine built for recommending movies to the user. The
data used for training our recommender engine is IMDB’s publicly available dataset. The
recommender system was built using Collaborative Filtering technique. It was implemented using
Python
• Gym Application: Created application for members working at a gym. It helps in reducing the
efforts required from gym members for tasks like marking attendance and the deadline
notifications. It is developed using java servlets.
• 2048 Game: Created a 2048 game without GUI. It was built using basic Python Data Structures.
Experience
PROJECT INTERN | LIVEHEALTH | JUNE 2015 – MAY 2016
· I was part of a three-member group who worked on building an analytical engine for livehealth as part
of our college project.
· I worked mostly on the back-end side of the project which included working on database by using
MySQL workbench and using Django Framework to build stateless API’s for consumptions.
· We used git to maintain code versioning.
· First experience with learning to maintain and develop industry level code.
· Additional details about the project is mentioned above.
DEVELOPER ASSOCIATE | SAP LABS | OCTOBER 2016 – JULY 2018
· I was assigned into a team which builds products for retail companies as part of S4 HANA core. It
covers 3 key areas for retail company which include Logistics, planning and manufacturing.
· I mostly worked on the Logistics team and was part of Purchase Order Generation(POGT) team which
automates the process of generating purchase orders for the distributors.
· I was initially in charge of handling the database operations but soon took up more responsibility and
ended up working on end-to-end solution.
· I worked on implementing total-cancellation, partial-cancellation, restore functionality for the POGT
tool.
· The framework was built using ABAP programming language which supports both building the logic
and the user interface(reports) implementation. The database is stored in HANA and is consumed using
CDS views.
· For the work during my first year at SAP, I was handed the MVP award at my team.