Manager Program

SHREEYESH JAYESH CHAUHAN

267-***-**** **********@*****.*** linkedin.com/in/shreeyeshc github.com/shreeyeshc Chicago, IL EDUCATION:

Master’s of Information Technology and Management (ITM) Fall 2019 – (Expc)May 2021 Illinois Institute of Technology, Chicago, IL GPA - 3.66 Relevant Courses - Data Analytics, Data Mining, Object-Oriented Programming, Advancement in Database Management, Data Warehouse, Database Security, Service Oriented Application, Object-Oriented System Analysis, Modeling & Design Bachelor’s of Computer Engineering August 2015 - May 2019 MIT Academy of Engineering (Pune University), Pune, India GPA - 3.0 Relevant Courses - Data Mining and Warehousing, Artificial Intelligence (AI), Machine Learning (ML), Data Structures & Algorithms, Cloud Computing, Design & Analysis of Algorithm, High-Performance Computing SKILLS:

Languages: Python 3.7, Java 7, Swift 5, NodeJS, ReactJS, R, JavaScript, SQL, C/C++, HTML5, CSS4 Tools & Technologies: Amazon Web Service (AWS), XCode, Hadoop, Power BI, Tableau, QucikSight, Pehntaho Data Integration, MySQL, SQL Oracle, Microsoft Access, Microsoft SQL Server, NoSQL, Scala, MongoDB, Firebase, Apache, AngularJS, Weka EXPERIENCE:

CodePath.org October 2020 – Present

Technical Program Manager

• My goal was to provide an opportunity for those who are underrepresented college students in the field of Computer Science obtain their first SWE Internship by teaching them iOS for free and helping with their resumes.

• Participate in an intense 6-week training to gain management experience, leadership skills and technical knowledge to lead a 10-12 week-long iOS remote course with a rigorous curriculum for Spring 2021

• Some of the projects developed like movie-getter and recreating Twitter and Instagram. The topics covered for the projects are: Frameworks (WebKit, MapKit), iOS Libraries (AlamoFire, SwiftyJSON), Back-end (FireBase and Parse), TableViews and Passing Data, APIs (Twitter API, Parse API, Movies API), AutoLayout (constraints), CocoaPod and Git Control Version PROJECTS:

Covid-19 vs Stock Market (NYSE) - ETL (Pentaho Kettle Data Integration, Tableau, Power BI) Feb 2020 – April 2020

• Implementation of Statistical Dashboard for Visualization of Covid cases and NYSE dataset provided by Johns Hopkins Univ.

• Performed Extract, Transform and Load (ETL) pipeline as had 3 different statistics and perform DDL for accumulating Death

& Recovered count for calculating Death & Recovered Rate. Automatically fetchs the daily new data from Github.

• Deployed the final dataset into Tableau and Power BI and created the graphs for Death Rate and Recovered Rate, Covid cases vs Stock Market, Country-wise cases. Hence, observed that Stock Market was really affected due to Covid-19 Pandemic Movie Recommendation System (Python, Power BI, Jupyter Notebook) Aug 2020 - Nov 2020

• Recommended Movies to Users based on Preferences and Likings and Created Personalized Experiences

• Developed Popularity Based System, Content-Based Filtering, Collaborative Filtering, & Hybrid System and Power BI Visualize

• Created Matrix Factorization using Single Vector Decomposition (SVD) to reduce the sparsity as it gives the Eigen Vectors as an input, which gave more deterministic results compared to Non-Negative Matrix Factorization

• Achieved best Root Mean Square Error (RMSE) at 0.49 for Hybrid System as compared to others Stock Market Prediction Using SVM (Python, Weka, Anaconda Navigator) June 2019 – Dec 2019

• Identified factors affecting Share Market and Predicting Price using Machine Learning Algorithm - Support Vector Machine

• Established hyper-plane that differentiates the two classes perfectly between the date of stock prices and stock company

• Resolved Overfitting on the model by using SVM and increased precision by 8% and accuracy reached 83.2% Content-Based Image Retrieval (Python, Anaconda Navigator) June 2018 - April 2019

• Analyzed the content of the Images using Features Extraction & Classification Algorithm to find Similar Images

• Formulated feature extraction using Discrete Wavelet Transform (DWT) Gabor Filter Algorithm along with Deep Learning Algorithm (Convolutional Neutral Network (CNN)) on the CIFAR-10 dataset

• Decomposed into sub-bands as Low-High, High-Low, Low-High & High-High and were processed into Neutral Network

• Discovered additional low-level features which resulted in an accuracy gain from 81.95% to 86.11%

• Initiated Research Paper titled “Content-Based Image Retrieval using Wavelet Transform” in “Research Journal of Engineering Technology and Management (RJETM)” Journal Volume 2, Issue 1, ISSN: 2583-0028 ACHIEVEMENTS:

• Published Survey Paper titled “Exploring Different Techniques on Content-Based Image Retrieval” in International Journal called “International Journal of Research Advent Technology (IJRAT)” Special Issue, E-ISSN: 2321- 9637

• Top 10% in the course “Fundamentals of Database System” provided by National Programme on Tech. Enhanced Learning

(NPTEL) in IIT-Kanpur, India; Certified course “Introduction to Programming with Python” by Microsoft Virtual Academy (MVA)

• Nourished Leadership skills as Event Vice Coordinator in bachelor’s college; Managed technical events organized by college; Volunteered in Child Welfare NGO “Jigyaasa”, which nurtured my Communication Skills, Management & Presentation Skills

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