Gourish Pisal

864-***-**** # ad0dsv@r.postjobfree.com ï linkedin.com/in/gourish-pisal/ § github.com/gourishpisal Education

Clemson University Jan 2022 - Dec 2023

Master of Science in Computer Science GPA: 3.77/4

Courses: Cloud Computing, Applied Data Science, Statistical computing, Software Design, Deep Learning University of Pune Aug 2014 - Nov 2018

Bachelor of Engineering in Electronics and Telecommunication GPA: 3.3/4 Courses: Data Structures and Algorithms, Object-oriented Programming, Software Engineering, DBMS Technical Skills

Languages : Python, JavaScript, R Language, HTML, CSS, SQL, No-SQL Libraries/Frameworks: Pandas, Scikit-learn, Numpy, TensorFlow, PyTorch, Matplotlib, Flask, Django Technologies/Tools: AWS, ETL, Tableau, Kafka, Data Integration, MS Excel, Linux, Git, Agile Methodology DataBase & Big Data: MySQL, AWS Redshift, MongoDB, DynamoDB, Data Modeling, Hadoop, Hive, Pyspark Experience

IDEA Lab - Clemson University Aug 2023 – Present

Cloud Architect

• Designed fault-tolerant AWS architecture for an educational AI learning interface, ensuring high availability

• Efficiently migrated front-end and back-end to AWS, optimizing performance, scalability, and database integration.

• Achieved a 20% monthly reduction in AWS costs by monitoring and right-sizing resources and reserving instances.

• Implemented a CI/CD pipeline to automate software deployment from GitHub to EC2 using AWS CodeDeploy. Clemson University April 2022 – Aug 2023

Data Engineer

• Designed and optimized efficient data pipelines for extracting complex network data from pcap files.

• Collaborated with cross-functional teams to integrate synthetic data using advanced techniques like GANs.

• Expertly constructed & operationalized a data pipeline to seamlessly channel processed data into data warehouse

• Pioneered an algorithmic that reduced duplicate packet volume by over 80% to enhance data efficiency & accuracy Maxgen Technologies Pvt. Ltd Jan 2020 – June 2021

Jr.Data Scientist

• Engineered a data pipeline to extract stock market data from web sources, channeling it efficiently into a database

• Collaborated with domain experts to design meticulous data quality checks, data cleaning, data processing pipelines, and machine learning algorithms, enhancing time series analysis accuracy by 28.5%

• Designed and implemented a scalable database infrastructure for efficient storage and retrieval of stock market data Sairaj Telecoms Dec 2018 – Dec 2019

Web Developer

• Develop and maintain a Flask-based web application with robust APIs for extracting medical data from a database

• Design interactive and informative medical dashboard that enhances decision-making by 50%

• Interact with databases using SQLAlchemy to create data models, and ensure data integrity for accurate retrieval.

• Containerize the Flask application using Docker, facilitating consistent deployment and scalability. Projects

• Designed Data Pipeline for Twitter data using Python, Apache Airflow, ETL, and Unix Shell scripts.

• Architecting and Executing comprehensive database system to efficiently monitor pizza restaurant operations.

• Developed a machine learning model using TensorFlow & PyTorch to identify 3D printing anomalies.

• Implemented Deep learning Time series Model for predicting the future energy consumption.

• Design a Halloween Game pumpkin and ghost in Python using design patterns (Singleton, factory) Certifications

• ETL and Data Pipelines with Shell, Airflow, and Kafka by IBM (Coursera)

• Python Bootcamp (Udemy)

• SQL Bootcamp, Power BI (Udemy)