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Engineer Python

Kansas City, Missouri, United States
February 13, 2019

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Sai Priyanka Gurajada

****, ********* ******, ****** ****, MO, 64112

Mobile-913-***-**** EDUCATION

• Masters in Computer Science in the University of Missouri-Kansas City with GPA-3.5

• Masters in Embedded Systems with CGPA of 8.4 from SRM University

• Bachelors in Electronics and Communication with 78.22% from Acharya Nagarjuna University. TECHNICAL SKILLS

• Proficient in Python, R, PostgreSQL, HTML5, CSS3, SAP – EWM, Machine Learning, Deep Learning, NLP

• Hands-on Experience on Machine Learning- Regression(Linear, Polynomial,SVR, Decision Trees, Random Forest methods),Classification (Logistic, K-NN,SVM, Naive Bayes, Feature Engineering), Clustering(K-means and Heirarchial)

• Experience with Deep Learning Concepts like RNN, CNN, Auto Encoders and Reinforcement Leaning

• Good at Data Visualization tools like Matplotlib, Bokeh, ggplot

• Hands-on experience on Flask(Web-Based framework)

• Hands-on experience on Tensorflow, PyTorch, Numpy, Pandas, Scipy, Scikit-Learn, OpenCV, Tkinter, Folium libraries

• Experience with Jupyter Notebook, R Studio, Spyder and PyCharm

• Familiar with Restful Web Services and Postman


Seq2seq Chatbot (Python, Pytorch )

• Developed a sequence to sequence interactive chatbot using Recurrent Neural Network(RNN) and Long Short Term Memory Units(LSTM) models by jointly training encoder and decoder models using mini-batches Desktop Database Graphical User Interface Application(Python, PostgreSQL, Tkinter library)

• Created a real-time executable file. On running, it opens designed GUI to store, add, update, delete, view books information in the library.

Facial and Motion Detector (Python, OpenCV, Bokeh)

• Recognizes face, detects motion and also store the time interval of the motion whenever a person enters the room and plots the movement in a real-time graph.

Data Prediction using Titanic Dataset(R)

• Predicted and provided analysis for the survival of people likelihood in titanic tragedy using Decision Trees, Random Forest and Forest Engineering methods. Accuracy percentage is 95% PROFESSIONAL EXPERIENCE:

Systems Engineer at Infosys India Pvt. Ltd., Chennai, India (December 2015 – November 2017). Role: SAP EWM Consultant

• Experience in Customizing ERP and EWM Integration

• Hands on Experience in Debugging the Programs and providing the Fix for the various custom reports.

• Very well acquainted with the configuration and maintenance of SAP goods receipt, goods issue and internal processes.

• Involved in supporting Inbound and Outbound processes using Transport and Yard Management, Handling Unit.

● Experienced in defining storage areas, storage bins and managing them.

● Effective communicator with relationship management, analytical and coordination skills

● Provided 24X7 on-call Support, monitoring


1. Hindustan Aeronautics Limited (HAL), Bangalore (3 months, Jan-Mar, 2015) Project: Unmanned Aerial Vehicle (UAV) safety system using an Android APP. Detecting and recording the deviations in UAV using Accelerometer, Sound, Magnetic and Light sensors in an Android mobile and obtaining the results using real-time graph.

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