Sahil Garg

Utilize Generative AI techniques to develop novel solutions aimed at personalizing the learning journey for students. Train and mentor students in the field of data science, providing guidance and support to foster their skills and knowledge.

Provided Corporate training on data engineering along with cloud service at Deliotte. Provided Corporate training on Business Analyst along with Power Bi clouds at Bajaj FinServ. Provided corporate Training on Advanced Power Bi and data analysis using SQL at HCL.

Conduct training sessions both in-person and online, accommodating the needs of diverse learners and adapting teaching methodologies to enhance understanding and engagement. Facilitate interactive workshops, group discussions, and practical exercises to reinforce theoretical concepts and encourage active learning among participants.

Managed the team of Data analyst's to work and coordinate on projects. Preparing, populating dashboards, used by product/business aiding them with data driven decision making. Helped Interns working with data analyst tools and having analytical mindset to solve business problems.

Working on News aggregator App known as "Ritam" and helping them collect news from 600+ news website from different region of India. Analysis the news content coming in every hour and giving suggestions to content creation team using Artificial intelligence. Working on development of News app using Python and Flutter.

Connecting with client to Setup business online and providing business solution to business needs. Creating analytics dashboard for regular updates of there business.

Using Databricks for Handling, cleaning, and validation of big data. Also reformatting data tables into dimension and fact tables with parquet format for faster readability. Use of tableau for creating an analytical dashboard and getting key insight out of it using time series for Airbnb data. Working with the Associative technique to figure out the relation between products to increase the revenues using previous 5L+ invoices from throughout the world and suggesting product combinations based on different countries. NLP Deep learning model for classification of gender, emotion, and finally the context of the query for giving better response in automated voice assistance.