Data Assistant

PROFESSIONAL SUMMARY

Creative and goal-oriented Computer Science graduate with professional

experience and also extensive working knowledge of programming languages, web technologies, data science, mobile application development, cryptography and security.

WORK HISTORY

Software Developer, 12/2019 to Current

Tioga Security Inc, Sunnyvale, Californa

Research Student, 01/2019 to 08/2019

Florida State University, Tallahassee, United States Graduate Teaching Assistant, 08/2018 to 08/2019

Florida State University, Tallahassee, United States Assistant Systems Engineer, 02/2017 to 08/2017

Tata Consultancy Services Limited, Bengaluru, Karnataka Address : Sunnyvale, California 94087

Phone : 850-***-****

Email : adcl9d@r.postjobfree.com

SKILLS

APURVA KATTI

Design and develop web application with MVC architecture using Spring framework. Develop code for obtaining bean references using inversion of control (IoC) and dependency injection principles.

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Hibernate framework for data persistence, to create Hibernate POJO Objects and mappings using Hibernate Annotations.

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Engineering of RESTful web services & APIs using Spring Boot (Spring MVC) and deployed as microservices with embedded Tomcat.Use of conventional strategies for integrating client-layer technologies with service-layer systems (Swagger)

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• Unit testing using test-driven frameworks like Mockito and JUnit. Ovarian Cancer Diagnosis and Mortality Prediction using Deep Learning: Built effective prediction models using deep and machine learning techniques, cross-validated and processed unstructured, small-sized and unbalanced SAS medical data using SMOTE, Tomeklinks.

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Studied contributing factors using statistical analysis, Achieved prediction accuracy as high as ~82% through Consensus algorithm.

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Model Interpretation by analysing clusters with similar gradient descent using Tensorflow and workload behaviours on GPU.

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C++ and Computer Fluency: Taught lectures, conducted quizzes, transcribed and provided notes to students, tracked attendance, proctored and graded assignments, entered and maintained grades, and provided review preparation and feedback for all exams and assignments.

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Held weekly office hours to provide tutoring, counselling, or assistance to students in need.

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•connection Worked on TCP/IP stack and PPP protocol for establishing data www.github.com/apurvakatti19

www.linkedin.com/in/apurvakatti19

• Bitbucket

• C/C++

• CLion/Netbeans/Spring Tool Suite

• Core Data/Realm

• CoreML

• Django

• Eclipse

• Firebase

• Git/Github

• Google Cloud/Microsoft Azure

• Hadoop

• Hibernate JPA

• HTML/CSS/Javascript

• Java

• Keras

• Matplotlib

• Node/Express

• PyCharm

• Python

• Scikit-learn

• Seaborn

• Spring/Spring Boot

• Sqlite/Mongodb

• Tensorflow

• Visual Studio Code

• Xcode/Swift

• Youtube API

EDUCATION

Master of Science, Computer Science, 08/2019

Florida State University - Tallahassee

Bachelor of Engineering, Computer Science, 06/2016 Sir M Visvesvaraya Institute of Technology - Bengaluru PROJECTS

Substring Matching

Implemented substring pattern matching mathematical algorithms using q-grams and inverted q-grams, Processed the DBLP and Wikipedia data. Performance testing, varying length, buffer, execution times, retrieval of K relevant strings based on the query and edit distance metric. Composite File - File System

Implemented composite file-file system to provide many-to-one mapping using metadata of files. Apriori, FP-Growth algorithm, Different clustering methods like K-Means, Hierarchical Agglomerative Clustering to provide an extension to CFFS. Benchmark testing on User Log and Server Log data. MapReduce Engine

Implemented a Hadoop-like MapReduce facility, with master and worker nodes for map-reduce operations over YouTube data and performed analysis on the data collected using YouTube API. Predicted popular videos (trending) using the logistic regression model.

Object Detection

Implemented the traffic lights and pedestrian detection using the pre-trained Mobilenetv2 model on LISA and Caltech data. Re-training on google cloud to evaluate the model predictions on different real-life scenarios. H-1B Visa Eligibility Prediction

Implemented prediction models using deep and machine learning techniques, processed, cross-validated data obtained from Kaggle. Effective accuracy achieved by ensemble method, Voting Classifier and also fine-tuning parameters.

with network and troubleshooting.

Server and Database maintenance along with testing, reviewing, implementation plans and handling storage issues.

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Cloud Computing Operations to produce resilient, secure, high-performance services.

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