Data Analyst Intern

• May 2023 - Present

Research Assistant

• Jan 2023 - Apr 2023

Developed a robust predictive model for inbound call volume using historical and weather data from the gas company to enhance business operations resulting in optimized resource allocation. • Applied advanced machine learning algorithms including Random Forest, ARIMA, and SARIMA to forecast the call volume with precision for the next two month Developed a robust predictive model for inbound call volume using historical and weather data from the gas company to enhance business operations resulting in optimized resource allocation. • Applied advanced machine learning algorithms including Random Forest, ARIMA, and SARIMA to forecast the call volume with precision for the next two month

Graduate Research Assistant | Institute of Insight

• Aug 2022 - Dec 2022

Conducted research on an internal project at GSU, involving scraping and collating 10M tweets from Twitter to perform extract, transform, and load (ETL) using Word2Vec for classifying extremist and non-extremist tweets. • Executed Latent Dirichlet Allocation (LDA) algorithm for topic modeling of Twitter data corpus, enabling effective identification and exploration of key themes and trends. Conducted research on an internal project at GSU, involving scraping and collating 10M tweets from Twitter to perform extract, transform, and load (ETL) using Word2Vec for classifying extremist and non-extremist tweets. • Executed Latent Dirichlet Allocation (LDA) algorithm for topic modeling of Twitter data corpus, enabling effective identification and exploration of key themes and trends.

System Engineer

• Aug 2020 - Aug 2022

Built an NLP model to determine the sentiment analysis of customers regarding food products on social media websites which in turn helped in updating the price of the products as per the sentiment. Developed bots to automate website, e-mail, and CRM applications using Automation Anywhere and updated database using the extracted data, reducing manual work intervention by 80%. Performed data analysis using SQL queries and built operational Power BI report, which improved customer engagement by 60% for identifying the key areas to be focused on in the business Show less

Data Science Intern

• Apr 2020 - May 2020

Program Deliverables: •Interface with a Stock Price Data Feed •Use JP Morgan framework & tools •Display data visually for traders •Bonus Task: Open Source Contribution Program Deliverables: •Interface with a Stock Price Data Feed •Use JP Morgan framework & tools •Display data visually for traders •Bonus Task: Open Source Contribution

Machine Learning Intern

• Aug 2019 - Jan 2020

Worked on E-learning Development Product (AI Educator) Worked on E-learning Development Product (AI Educator)