About

Practicing Gradient boost over myself. Waiting to achieve the state of the art @Epoch 5!

Hi! I'm Vivek and I'm currently pursuing Masters in Computer Science at University of North Carolina, Charlotte. Having experience in analytics field, I’ve always sought out opportunities and challenges that are meaningful to me. I've never stopped engaging my passion to help others and solve problems.

Working with the data, I enjoy using my obsessive attention to detail, my unequivocal love for curiously exploring data and finding insights, and my mission-driven work ethic to crack scientific answers to common real-world problems. That's why I’m excited to make a big impact at a high growth company.

Experience

UNC Charlotte

Graduate Teaching Assistant - Data Mining
  • Assisted professor by preparing the course content, academic grading and conducting classes whenever necessary
  • Developed an interactive tool to assist analysis of emotional trends during crisis events
  • Performed topic modelling, emotion analysis to assess message level contagion in social media
  • Implemented RNN-LSTM model to detect Spam Bots in Twitter posts with 97% accracy
  • Tools and Technologies: Python, Plot.ly, Deep Learning, Keras, NLTK, spaCy, Natural Language Processing
Jan 2018 - Present | Charlotte, NC

Transamerica

Distributed Developer Intern
  • Involved in model ETL orchestration which controls job executions chained by CloudWatch using AWS Step function and AWS Lambda to automate conditional workflow in company's reimbursement module
  • Worked on migrating API services to Asynchronous API calls using Reactive and Vert.X frameworks leveraging broker server RabbitMQ
  • Daily collaboration with development and release team to develop process that increase deployment efficiency, reduce defects and exceed code quality expectations
  • Tools and Technologies: Java, AWS Cloud Services, Docker, Reactive Frameworl, Vert.X, MySQL
May 2018 - Aug 2018 | Cedar Rapids, IA

Iolite Softwares Inc.

Jr. Data Analyst
  • Expertly consulted and solved complex learning solution including: identifying client training needs, successfully used performance consulting to analyze data and identify root cause to determine appropriate learning solution
  • Troubleshooting application server for business function processing issues
  • Maintained database instances and executed SQL queries for data validation
  • Designed and implemented stored procedure views and other application database code objects
  • Used advanced Excel functions to create pivot tables. Generated adhoc reports using Oracle and Learning Management System(SABA)
  • Tools and Technologies: SQL, Java, Learning Management System, MS Office, Tableau, SQL Server Reporting Services(SSRS)
June 2016 - May 2017 | Laurel, MD

Iolite Softwares Inc.

Data Analyst Intern
  • Built complex SQL queries, generated reports from different sources for various business needs
  • Developed framework, metrics and reporting to ensure progress can be measured, evaluated, and continually improved
  • Supported the development of performance dashboards on Tableau that encompass key metrics to be reviewed with senior leadership
  • Tools and Technologies: SQL, Java, MS Office, Tableau
Dec 2015 - May 2016 | Ahmedabad, India

Projects

Market signal predictions from sentiments and technical indicators

Accomplishments
  • Implemented functions in python to calculate technical indicators
  • Trained Bayesian CNN with LSTM on the scraped news posts
  • Devised an algorithm to predict real time market signals using both indicators and sentiments
  • Designed in Bootstrap and D3.js
Code Island logo

News classification based on political bias

Accomplishments
  • Collected and cleaned news posts fetched from Reddit API
  • Experimented with various word embeddings- Word2Vec, TF-IDF
  • Established baseline accuracy with SVM and Logistic Regression
  • Trained RNN-LSTM to predict bias with 86% accuracy

Terrorism trends analysis and visualization

Accomplishments
  • Data preprocessing and Exploratory data analysis to extract trends
  • Visualized trends in Story-telling approach using D3.js
  • Trained different classifiers to predict group behind the terror activity

Calculation of co-occurences of words in large text documents in Hadoop

Accomplishments
  • Implemented MapReduce model to calculate co-occurrences rate in gigabytes worth of text
  • To optimize parallelization it was run on AWS EC2 servers as well

Notebooks of Data wrangling and Exploratory Analysis

Accomplishments
  • Performed data preprocessing on various datasets
  • Formed relevant questions for investigation
  • Found interesting discoveries through EDA
  • Investigated data and visualize trends and patterns

Education

University of North Carolina at Charlotte

Charlotte, NC

  • M.S. in Computer Science

Charotar University of Science & Technology

Anand, India

  • B.S. in Computer Science

Contact

viveks2410@gmail.com

github.com/Vivek305

www.linkedin.com/in/vivk-soni

___ ___ ___ ___ ___ /\ \ /\__\ /\ \ /\__\ ___ /\__\ \:\ \ ___ /:/ _/_ \:\ \ /:/ _/_ ___ /\ \ /:/ _/_ \:\ \ /\__\ /:/ /\ \ \:\ \ /:/ /\__\ /\__\ \:\ \ /:/ /\__\ ___ /::\ \ /:/__/ /:/ /::\ \ ___ /::\ \ /:/ /:/ / /:/__/ \:\ \ /:/ /:/ _/_ /\ /:/\:\__\ /::\ \ /:/__\/\:\__\ /\ /:/\:\__\ /:/_/:/ / /::\ \ ___ \:\__\ /:/_/:/ /\__\ \:\/:/ \/__/ \/\:\ \__ \:\ \ /:/ / \:\/:/ \/__/ \:\/:/ / \/\:\ \__ /\ \ |:| | \:\/:/ /:/ / \::/__/ ~~\:\/\__\ \:\ /:/ / \::/__/ \::/__/ ~~\:\/\__\ \:\ \|:| | \::/_/:/ / \:\ \ \::/ / \:\/:/ / \:\ \ \:\ \ \::/ / \:\__|:|__| \:\/:/ / \:\__\ /:/ / \::/ / \:\__\ \:\__\ /:/ / \::::/__/ \::/ / \/__/ \/__/ \/__/ \/__/ \/__/ \/__/ ~~~~ \/__/