
Highly skilled data engineer with expertise in designing, building, and optimizing data pipelines and systems. Proficient in data modeling, ETL processes, and data warehousing solutions. Adept at handling large-scale data infrastructures and ensuring data integrity and security. Collaborative team player with a strong focus on delivering reliable and efficient data solutions.
GE Manufacturing and Supply Chain Project :Implemented end-to-end data pipelines for ingesting, processing, and storing large datasets, ensuring data accuracy and availability. Leveraged ETL tools and cloud-based technologies to optimize data workflows and support data-driven decision-making.
Hackathon Project Based on Machine Learning NLP-STARBUCKS Sentiments Analysis: The final goal is to predict the sentiment analysis of the customer review. Hackathon Project Based on Retail Sales on Excel with a use of Dynamic representation :The objective is to analyze market fluctuation on different sectors of the market.
Machine Learning Project Based on KNN Algorithm to analyze the count of Diabetic Patient :The objective is to analyze whether the patient has diabetes or not.
Machine Learning Project Based on Logistic Regression to analyze Bank Marketing Prediction :The final goal is to make a model to predict if the customer will response positively to the campaign or not.
Linear Regression to predict Student's Marks using Machine Learning :The objective is to predict the score if a student studies for 9.25 hrs/ day.