Assistant Data

Steve Jadav 480-***-**** *******@***.*** www.linkedin.com/in/steve-jadav www.github.com/Steve-Jadav SUMMARY

• Graduate Research Assistant at Arizona State University, with a strong foundation in software engineering, data structures, complexity analysis, and programming principles across platforms.

• Solid verbal and written communication skills, with an ability to work well with non-engineers. Considerable leadership and time-management skills.

EDUCATION

M.S. in Computer Science

Arizona State University (Ira A. Fulton Schools of Engineering), Tempe, Arizona May 2021

3.95/4.00

B.E in Computer Science and Engineering

Gujarat Technological University, Gujarat, India

• Academic Distinction Award (x3)

Jun 2019

9.17/10.00

WORK EXPERIENCE

Software Engineer/Research Assistant at Data Science & Analytics Lab Arizona State University, Tempe, Arizona

Aug 2019 - Present

• Developing data pipeline for tweet analysis using Apache Spark to track misinformation by improving processing by 70%.

• Developed a website facilitating efficient search through a vast collection of biomedical articles. Key features: document summarisation; Elasticsearch. Used AWS Kendra and S3 to set up a QnA service.

• Built a website in D3.js to visualise the trash network and garbage flow in West Virginia. Followed Agile Framework.

• Made a web app integrating features from NLP, using Flask and NGINX servers. Tripled its value using bootstrap Software components. Developer Intern

KIT Solutions Pvt. Ltd., Vadodara, India

May 2018 - Aug 2018

• Developed an android application allowing users to track assets in real time. Used Google Firebase Realtime Database to store the location and identity information of the assets. PROJECTS

VAST Challenge Data Visualization Sept 2020 - Nov 2020

• Proposed various ways of visualizing sensor readings, which helped determine contaminated areas in and around the city.

• Used Javascript to develop a dashboard with visualisations created using D3.js.

• Built innovative approaches to visualise sensor readings. Geospatial Data Analysis using Apache Spark Jan 2020 - Apr 2020

• Performed Geospatial Big Data Analysis on New York City taxi-trip dataset to find geographical hotspots.

• Range query, range-join query, distance-join query, hot-cell, and hot-zone analysis were performed on the dataset.

• Cluster set up using AWS EC2 instances. Ran Apache Spark on top of Hadoop, to facilitate distributed big data analysis. Gesture Recognition using ML and Cloud Services Jan 2020 - Apr 2020

• Developed a RESTful API service that accepts Human Pose Skeletal key points of a sign video and returns the label of the sign. Trained ML models (Decision Trees, SVM). Built the entire service using an EC2 instance with a Flask backend. Distributed Computing using Mobile Phones Jan 2020 - Apr 2020

• Developed a distributed computing infrastructure using mobile phones. A parallel computing framework to perform large matrix multiplications. A master application offloads data to all the slave applications, to perform parallel computation.

• Established the communication between the mobile nodes using Android Wifi P2P API. Voice-Based Gender Identification Using Machine Learning

“IEEE International Conference on Computing Communication and Automation” Oct 2018 - Dec 2018

ISBN # 978-1-5386-6947-1

• Trained machine learning models for identifying the gender of a person using speech properties. Achieved 98 % accuracy.

• Conducted research on the usefulness of different features towards determining gender. Authored a research paper for IEEE.

TECHNICAL SKILLS

Programming Languages: Python, Java, MySQL, Javascript Computer Skills: Elasticsearch, Docker, Linux, PostgreSQL, HTTP, Node.js, Express.js, PySpark, NGINX, Cloud Computing Amazon Web Services: S3, Lambda, Kendra, Elastic Compute Cloud Relevant Coursework: Distributed Software Development, Distributed Database Systems, Mobile Computing, Advanced Java

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