Resume

1. DilnozaBobokalonova917.592.2825 | dilnoza1@berkeley.edu | dilnozabobokalonova1@github.com | bobokalonovadilnoza@linkedin.com
Education
University of California, Berkeley Berkeley, California
MASTER OF ENGINEERING, ELECTRICAL ENGINEERING AND COMPUTER SCIENCE | DATA SCIENCE AND SYSTEMS Expected May 2019
University of Miami Coral Gables, Florida
BACHELOR OF SCIENCE IN COMPUTER SCIENCE | MINOR IN MATHEMATICS Aug. 2014 - May 2018
Skills
Programming/Scripting Java, Python, Lisp, C, C++, Prolog, JavaScript, MATLAB, HTML, CSS
Technologies/Environment NLTK, NumPy, Pandas, MongoDB, Ray, PyTorch, Apache Spark, Keras, Git, Bash, Linux, SQL
Languages Russian, Persian, Tajik, English
Coursework
• Optimization Models in Engineering
• Applications of Parallel Computers
• Designing/Visualizing Deep Neural Networks
• Computer Organization & Architecture
• Principles/Techniques of Data Science
• Artificial Intelligence
• Machine Learning
• Software Engineering
• Natural Language Processing
• Programming Paradigms
• Computational Neuroscience
• Discrete Mathematics
Experience
UC Berkeley Fung Institute for Engineering Leadership Berkeley, CA
DATA SCIENTIST | NATURAL LANGUAGE PROCESSING DEVELOPER May 2018 - Aug. 2018
• Utilized natural language processing and machine learning techniques to analyze the technology development of autonomous
vehicle (AV) industry, specifically LIDAR technology
• Implemented document similarity analysis using doc2vec to expand one patent seed to a patent pool of 1000 similar patents
drawn from AV pool of 40000 patents
• Cleaned, preprocessed and transformed the unstructured data into vectors using tf-idf; performed dimensionality reduction to
convert the original vector of 33k features down to a 3D vector per each patent in order to visualize the data in 3D space
• Implemented K-means and Latent Dirichlet Allocation for topics extraction to obtain an optimal number of clusters (5)
• Developed various models such as SVM/Random Forest/Long Short-Term-Memory neural network to predict the number and
space of future patents in 244 different CPC classes for 2019-2020 quarters with 96.1% accuracy on testing 2017-2018 quarters
University of Miami Center for Computational Science Coral Gables, FL
DIRECTOR OF PROGRAMMING LANGUAGE TRAINING Jun. 2016 - May 2018
• Trained four newly recruited students in the research team on multimedia information retrieval
• Created project-oriented modules and training code segment based on the research’s code, publications, and works cited
RESEARCH ASSISTANT
• Developed the preliminary dataset and computational tools for video/viewer rating analysis and feature/pattern visualizations
• Implemented an NLP program in Java to model the emotional content of 1000 video transcriptions
• Helped to unravel the formulas of effective multimedia production and programming strategies for online advertising using mul-
timedia pattern analysis and machine learning algorithms
Projects
Deep Learning Specialization
COURSERA | 12 PROJECTS TOTAL
• Developed a car detection algorithm for autonomous driving using You Only Look Once (YOLO) model containing over 50 million
parameters able to detect 80 different classes in an image
• Created a face recognition system to map face images into 128-dimensional encodings for accurate element-wise comparison
• Built a Neural Machine Translation model to translate human readable dates into machine-readable dates by using a sequence-
to-sequence model
• Synthesized/processed audio recordings to create a dataset later used to implement an algorithm for trigger word detection
Undergraduate Software Engineering Project
TEAM LEADER | TEAM OF 10
• Directed 10 teammates in the development of a Collaborative Content-Editing Tool, a web-based application that functioned in
a manner of Wikipedia
• Created the website using LAMP Framework that supported the combined use of four OSS packages
• Built file organization system using LAMP Framework with strictly enforced rules to optimize creation and running of search en-
gine upon documents with variable field criteria