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Name: Tushar Sonp

Type: User

Company: Golden Eagle IT Technology

Twitter: yadavt147

Location: Indore, Madhya Pradesh.

Hi there, I'm Tushar Sonp! 👋

I'm a Python Developer at Golden Eagle IT Technologies, with 1 year of experience in various technologies including AWS Services, PySpark, Airflow, and more.

🚀 Technologies & Tools

Apache Airflow
Amazon Web Services (AWS)
AWS Glue 🩹
AWS CodeCommit 🔗
Amazon S3 📁
Amazon Athena 🦉
Amazon Elastic MapReduce (EMR) 🗺️
Apache Spark ⚡
PySpark ✨
Seaborn 📊
Pandas 🐼
NumPy 🔢
TensorFlow 🤖
OpenCV 👁️
Scikit-Learn 📈
Python (Programming Language) 🐍
Machine Learning 🤖
Deep Learning 🧠
Django :django:
PostgreSQL 📊
MongoDB

⚡️ About Me

I'm passionate about leveraging technology to solve complex problems. Over the past year, I've honed my skills in Python development and have gained valuable experience in AWS Services, PySpark, Airflow, and more. I'm eager to tackle new challenges and continue expanding my knowledge in the field of software development.

🌟 Roles and Responsibilities

Currently working on a Data Engineering Project using cloud platforms such as AWS (EMR, AWS Glue, Athena, CodeCommit, S3, EC2) with PySpark to create ETL pipelines and Airflow to schedule ETL jobs.
Designed, developed, and maintained end-to-end ETL (Extract, Transform, Load) pipelines using AWS services, Airflow, and Matillion to ensure efficient and reliable data processing and integration.
Utilized PySpark as the primary programming language to implement data transformations, data quality checks, and other data manipulation tasks, optimizing pipeline performance.
Played a key role in establishing and maintaining data lineage documentation using Alation, enabling clear visibility into data flow and transformations for compliance and auditing purposes.
Actively participated in Agile development methodologies by utilizing Atlassian suite tools such as Jira for issue tracking and Confluence for documentation, ensuring efficient project management and communication.
Optimized AWS resources usage by implementing cost-effective solutions, such as resource scaling, spot instances, and utilizing serverless architectures, resulting in reduced operational costs.

📈 GitHub Stats

🌱 Currently Learning

Technology/Tool Working On - Python Programming | PySpark | AWS | Machine Learning | Deep Learning | TensorFlow | OpenCV | Django| Flask | PostgresSQL | MySQL | MongoDB.

📫 Get in touch

LinkedIn: Tushar Sonp
Twitter: @tushar_sonp

Feel free to reach out and connect!

Email: [email protected]
Contact No.: +91 8085545457

Tushar Sonp's Projects

1stop-internship-projects

Hand Written Digits Prediction, Hierarchical Clustering, Linear Discriminant Analysis.

aws-sagemaker

AWS SageMaker Contents and Ipynb file for model build and data preprocessing.

bigmart-prediction

build-an-etl-process-with-clickstream-data

Clickstream data is the information that is collected about a user while they are browsing through a website. The company would like to use Clickstream data to understand the user behavior on the website.

custom-object-detection-model

Detect captcha code using object detection method, because of having lots of noise and tilted words in the image. Object detection perform better than the Pytesseract.

custom-voice-cloning-model

Train an AI model which able to clone you own voice, I have used Piper for this custom training. Also I have integrated LLM to generate answers from the GPT.

customer-loan-repayment-prediction

data-analysis-on-chess-dataset

Using PySpark for Data Analysis

data-analytics

This is a furniture brand based out of the EMEA that has seen rapid growth in sales in recent quarters and wants to build a data-driven strategy to drive sales further.

data-structure-with-python

Data Structure With Python

data-visualization

This is an Outdoor wear brand that has a high variety of products for both Men and Women. Due to the huge demand for a few products, customers are subscribing for the products which they like and if that product at the time of subscribing is not available in stock then it will be considered a missed sales product.

deep_learning_with_pytorch

dengue_cases_prediction

Dengue surveillance data is provided by the U.S. Centers for Disease Control and prevention, as well as the Department of Defense's Naval Medical Research Unit 6 and the Armed Forces Health Surveillance Center, in collaboration with the Peruvian government and U.S. universities.

django-rest-framework

eda-of-terrorist-by-powerbi

eda-terrorist-data

email_campaign_prediction

Most organizations today rely on email campaigns for effective communication with users. Email communication is one of the popular ways to pitch products to users and build trustworthy relationships with them.

encrypt-and-decrypt-text-using-python

fake-news-classifier-lstm

The dataset that I have is a set of news articles written around the 2016 US election period. Create a RNN model to identify unreliable news articles.

food-ordering-system-website-using-flask

A responsive web application to order food online for home/office delivery. In this application, I have created both user and admin interface. Here user first need to register themself for login credentials and for admin I have provided a master id and password. Web Application Link:- https://foody66.herokuapp.com/