SIDDHARTH MISHRA

480-***-**** linkedin.com/in/sidmishra910/ adlc04@r.postjobfree.com github.com/sid-mishra910 EDUCATION

MASTER OF SCIENCE IN COMPUTER SCIENCE August 2019 - May 2021(Expected) Arizona State University, Tempe, Arizona GPA: 3.95/4 BACHELOR OF ENGINEERING IN INFORMATION AND COMMUNICATION TECHNOLOGY August 2015 - May 2019 Dhirubhai Ambani Institute of Information and Communication Technology, Gujarat, India TECHNICAL SKILLS

Programming Skills: Python, C++, Java, Javascript, SQL, Spark, Scala Tools: Linux, Git, MySQL, Tableau, AWS, Apache Spark, Hadoop, SPSS, SAS, NoSQL Libraries: D3.js, Flask, Pandas, PySpark, TensorFlow, Scikit-learn, Keras, Node.js, React.js, Kafka Skills: Software Design, Agile Development, Machine Learning, Data Science, Software Project/Process/Quality Management Relevant Coursework: Software Design, Software Project/Process/Quality Management, Data Structures and Algorithms, Artificial Intelligence, Big Data, Distributed Database Systems, Data Mining, Data Visualization, Natural Language Processing Responsibilities: Probability and Statistics Tutor, Calculus Tutor, Differential Equations Teaching Assistant PROFESSIONAL EXPERIENCE

ARIZONA STATE UNIVERSITY, GRADUATE STATISTICS TUTOR, ARIZONA, USA July 2020 – December 2020

● Hired by the Graduate Academic Support Department, undertaking tasks of teaching students topics of statistical inference.

● Guided students through Data Analysis and Regression modelling process using Python, Excel, R Studio, SPSS, SAS, and SQL to aid them in their research projects.

● Helped students understand statistics techniques such as t-test, z-test, chi-squared test, ANOVA test and correlation.

● Taught students Quantitative and Qualitative Analysis also covered topics of probability like Normal Curves and distributions.

● Received 2 Serving University Needs (SUN) Award recognitions from department for mentoring over 500 students. SCHNEIDER ELECTRIC, DATA SCIENCE INTERN, BANGALORE, INDIA January 2019 – July 2019

● Designed prediction models for automating condition monitoring of machines at company’s warehouse through machine learning.

● Combined dataset, consulting with Data Engineering team, using Hadoop, and performed data preprocessing to remove outliers.

● Conducted data analysis using statistical inferences for hypothesis testing through chi-squared tests and generated visualizations to create 9th degree uniformly distributed data with 90% goodness of fit.

● Compared models and selected best model with highest accuracy as a metric of value 80% coded in Python on Amazon Sagemaker.

● Collaborated with team and deployed an application leveraging Python Flask.

● Selected amongst 10 interns to assist in developing Data Science Academy by contributing with lessons on R and Python Language. IDFC BANK, BUSINESS ANALYST INTERN, INDIA May 2018 – July 2018

● Collaborated with members of Cybersecurity to integrate and build a tool to collect security vulnerabilities raised in live web applications using optimized SQL querying stored in SQL database.

● Analyzed and assigned severities on scale 1-5 using Python and built dashboard for visualization of each vulnerability in Tableau.

● Generated reports provided to the developer team with suggestions for corrections.

● Helped the cyber security team decrease vulnerabilities removal time from 2 to 1 day. DA-IICT, MACHINE LEARNING RESEARCH INTERN, GUJARAT, INDIA May 2017 – July 2017

● Developed a platform to execute machine learning algorithms on Snapdragon board.

● Partnered with a team of 4, to execute Regression algorithms by utilizing 80% board capacity.

● Received recognition from department for maintaining space efficiency on board.

● Responsible for creating 20 page project documentation for future groups to carry on the project. DUCAT, WEB DEVELOPMENT TRAINEE, NOIDA, INDIA June 2016 – July 2016

● Constructed E-Kart Shopping Website using jQuery, HTML, CSS for Frontend.

● Learned about databases and stored about 500 items information using MySQL and PHP for Backend.

● Presented the idea to Annual Cultural Festival team for developing the ticketing system for about 20,000 people. TECHNICAL PROJECTS

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● Created a D3.js dashboard for Yelp Dataset to help restaurant owners to analyze restaurant’s performance.

● Incorporated sentiment analysis of customer reviews as well as metrics to assess performance of neighborhood restaurants.

● Displayed about 10,000 restaurants in Arizona on an online dashboard hosted on Leaflet.js and Netlify. Farm Management System

● Engaged with a team of 4 in a documented software engineering process using Agile methodology.

● Defined problem description and software requirement specifications, and designed class diagram and use-case scenarios.

● Developed a mobile application using Android Studio coded in Java by retrieving data from Firebase.

● Live application handled about 100 farmers and 3000 customers database with login and authentication.

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