Saubhagya Sharma
An enthusiastic Data Science Explorer with a strong inclination towards exploring and understanding data for statistical, predictive, and other analyses. Possesses hands-on experience in data science methodologies, tools, and machine learning models.
Saubhagya Sharma
Github
Saubhagya Sharma
Location
Delhi, India
About Me
I am Saubhagya Sharma, residing in Delhi, India, with a fervent passion for data science and its diverse applications in real-world scenarios. My academic journey includes a Bachelor’s degree in Computer Applications with a specialization in Data Science from Bennett University, where I developed a solid understanding of data analysis techniques and methodologies. My educational foundation is complemented by various certifications, such as the DP-900 Azure Data Fundamentals from Microsoft and the IBM Data Science Professional Specialization from Coursera, which equipped me with hands-on skills in data science, machine learning, and data management.
Professionally, I have gained significant experience as a Data Engineer at Glorious Insight Pvt. Ltd., where I designed, deployed, and managed data infrastructure and pipelines on Microsoft Azure. My role involved optimizing data processing workflows using Azure Data Factory, Azure SQL Database, and Azure Databricks, ensuring seamless data integration and transformation. Additionally, my tenure as a Project Management Trainee at Here Technologies in Amsterdam allowed me to formulate strategies to enhance software accuracy, while my internship at Smartknower Ltd. in Bengaluru showcased my ability to lead teams and apply machine learning algorithms to achieve high accuracy in medical field projects.
My career goal is to leverage my extensive skills in data science and engineering to tackle complex problems and contribute significantly to organizational success. I am committed to continuous learning and adapting to new technologies and methodologies in the ever-evolving field of data science. By staying abreast of the latest advancements and trends, I aim to deliver innovative solutions that drive organizational growth and efficiency, making meaningful contributions to any organization I join.
Career Objective
To build a professional career by working with motivated and dedicated people in a highly competitive and structured organizational environment, contributing to data-driven decision-making and innovative solutions.
Resume
Professional Experience
Data Engineer | Glorious Insight Pvt. Ltd.
Noida, Uttar Pradesh | February 2023 – Present
- Designed, deployed, and managed data infrastructure and pipelines on Microsoft Azure, leveraging services such as Azure Data Factory, Azure SQL Database, and Azure Databricks.
- Developed and optimized data processing workflows using Azure Data Factory, ensuring seamless data integration and transformation across various sources and targets.
- Utilized Azure Databricks for advanced data transformation and analysis, enhancing efficiency and accuracy in processing workflows.
- Collaborated with cross-functional teams to understand data requirements and create solutions for complex data integration projects.
Project Management Trainee | Here Technologies
Amsterdam, Netherlands | June 2022 – August 2022
- Formulated strategies to grow the reach and accuracy of the software.
- Improved software accuracy by 6% using mapping techniques and adding parameters.
- Led a team of 4 in successfully completing two industry-based projects in the medical field.
- Utilized ML algorithms to achieve a remarkable 97% accuracy in classifying and object detection tasks.
Certifications
DP-900 Azure Data Fundamentals | Microsoft
- Validates foundational knowledge of data concepts in Microsoft Azure, focusing on data management in the cloud and enabling data-driven decision-making.
IBM Data Science Professional Specialization (10 Courses) | Coursera | 2022
- Developed hands-on skills in Data Science and Machine Learning, covering data science methodologies, various tools, Python, SQL, data visualization, analysis, and machine learning models.
Supervised Machine Learning: Regression and Classification | Stanford Online | 2022
Projects
Generative AI Chatbot | Government of Punjab
- Developed a generative AI chatbot for the Government of Punjab’s website, using Microsoft OpenAI API, JavaScript, and Python to enhance user engagement.
- Collaborated with a diverse team to meet government client requirements, ensuring an interactive and intelligent chat interface.
Data Lake Analysis Project | Jindal Steel and Power Ltd.
- Managed end-to-end data integration from SAP, APIs, and diverse sources, establishing a medallion architecture (bronze, silver, gold) using Azure Data Lake Storage (ADLS), Delta Lake, and Azure Synapse.
- Developed and automated data pipelines with Azure Data Factory (ADF), ensuring seamless data transfer and processing.
- Implemented performance optimizations in Azure Data Factory pipelines, resulting in over an 80% increase in processing speed, thereby enhancing decision-making for business intelligence reports in Azure Synapse and Power BI.