Engineer Software Developer

Shreyas Pimpalkar

*******.**********@*****.*** 716-***-**** GitHub LinkedIn Website

SUMMARY

Software Developer with 2+ years of experience in developing robust code for high-volume businesses. I have always been a company man with a commitment to the goals and ambitions of the company. Currently, a graduate student at the university of buffalo, looking for full-time software engineering opportunities. EDUCATION

Masters in Data Science, University at Buffalo GPA: 3.58/4 Jan 2020 - May 2021 Programming Coursework: Data Query Models, Introduction to Machine Learning, Information Retrieval, Algorithm Analysis, and Design. Data Science Coursework: Statistical Data Mining &, Programming Database, Introduction to Numerical Math. Bachelor of Electronics Engineering, University of Mumbai GPA: 7.17/10 Aug 2012 - May 2016 Programming Coursework: Structured Programming Approach, Object-Oriented Programming Methodology. TECHNICAL SKILLS

• Databases: SQL Server, MySQL, MongoDB, Google Firebase. Languages: Python, SQL, JavaScript, R, MATLAB.

• Frameworks: Django, Flask, NodeJS, Bootstrap, jQuery. Machine Learning libraries: NumPy, Pandas, Scikit-Learn.

• Version Control: Git. Cloud Service: AWS.

WORK EXPERIENCE

Research Intern, Indian Institute of Technology Bombay (CSE Department) Aug 2019 - Dec 2019

● Developed software to clean and format unstructured data obtained from scraping multiple websites and stored in the database.

● Established testing and development environment using Docker and bash scripts.

● Leveraged Knowledge in MongoDB, Python, Web Scraping, Django, Git and JavaScript, jQuery, Docker. Software Engineer, IRIS Business Services Limited Jul 2018 - Jul 2019 CREDIXO (https://credixo.irisinfo.com): Generating automated financial reports.

● Developed secure RESTful services having web token-based authentication which increased the application revenue gradually.

● Designed and Developed the billing module to track the API usage of the clients and generate the invoice accordingly.

● Developed a module using asynchronous task queue which provided automated reports to the clients.

● Designed and developed web pages in Django using Django template language, HTML, and JavaScript.

● Leveraged Knowledge in Python, Django, JavaScript, Git, Redis, Celery (Task Queues), MySQL, jQuery, AWS. Software Engineer, Hashbinary Services LLP (start-up) Jan 2017 - Apr 2018

● Developed secure RESTful APIs for the various websites and integrated them into the client-side application.

● Developed an admin panel web application that provided insights and analytics of the website accessible to the administrator.

● Worked with a senior developer on restructuring the existing server-side scripts.

● Leveraged Knowledge in Full Stack Web Development, debugged using Chrome Developer tools, Git, NodeJS, MySQL, Google Firebase Database.

SOFTWARE PROJECTS

Tweet Search: www.github.com/shreyas10p/project4

– Collected over 100k tweets from Twitter APIs and indexed them using the Solr search platform.

– Stored tweets in MySQL database, performed sentiment analysis and calculated influence score for tweets.

– Created website to perform a search on indexed data and also visualize analysis on the data.

– Utilized: Docker, Python, Flask, Solr-8.2.0, RESTful APIs, JavaScript, Chart.js, HTML, jQuery. Load Balancer: www.github.com/shreyas10p/loadbalancer

– Developed a load balancer in Django which performs health checks and host-based routing.

– The load balancer distributes traffic based on fixed weights assigned to the servers.

– Docker-compose is used to create and run multiple Django application servers and Pytest modules for testing functionality.

– Utilized: Docker, Python, Django, RESTful APIs, Pytest Framework. Handwritten Digits Classification: https://github.com/shreyas10p/ML_proj2

– Implemented a multi-layer perceptron neural network and evaluated its performance in classifying handwritten digits.

– Developed a model using MNIST dataset with optimized parameters and compared single and multi-layer neural networks.

– Utilized: Python, Neural network, TensorFlow, NumPy, Scikit-Learn. For Additional Projects: www.shreyaspimpalkar.com#projects

Contact this candidate