BI and Azure Engineer at TekSavvy, optimized data pipelines, built dashboards, and implemented real-time analytics and security solutions using Azure, Snowflake, and Databricks.
BI apps and Cloud Engineer
BI and Cloud Engineer at Punjab National Bank, developed ETL pipelines, optimized data workflows, integrated data from various sources, and published Power BI reports while implementing data governance and predictive analytics models.
Software Developer
Software Developer at University De Sherbrooke, developed a Python-based semantic validator, conducted SQL testing across multiple platforms, and collaborated on GitHub for project development and documentation.
E-Commerce Website
Leveraged React to develop essential components: home page, search bar, shopping cart, user login and order history
Statistical project
Demonstrated proficiency in training a multi-class logistic regression classifier on the MNIST dataset, incorporating various regularization techniques.
Image Classification Using SVM
Prepared the data, visualized the data
Analyzing and Visualizing Data with Microsoft Power BI
Completed 'Analyzing and Visualizing Data with Microsoft Power BI,' gaining expertise in data analysis and dashboard creation using Power BI.
Completion Certificate of AWS Machine Learning from Udemy
Completed AWS Machine Learning certification from Udemy in February 2024.
Python- Web Development
Completed Python Web Development at Microsoft, focusing on building and deploying web applications in October-November 2017.
Skills
Here are collection of skills that I'm experienced in.
Azure
Python
Machine Learning
Git
Azure
Python
Machine Learning
Git
Azure
Python
Machine Learning
Git
Education
Bachelor's in Information Technology
I completed my Bachelor of Technology (B.Tech) in Information Technology from Guru Gobind Singh Indraprastha University, achieving a distinction with 81.2% during the academic years 2017 to 2021
Research Paper
Comparison of Naive Bayes and MLP for Real-Time Product Review Analysis
Developed an automated system for processing real-time product reviews, incorporating user feedback to identify key requirements and preferences. Implemented text classification and vector representations for sentiment analysis on website products, enhancing customer insights and improving decision-making