Imdadul Hassan

Seasoned collaborator experienced in meeting needs, improving processes and exceeding requirements in team environments. Diligent worker with strong communication and task prioritization skills.

• Engineered and deployed process automation utilizing Python scripts, leading to a 30% decrease in manual intervention.
• Twice within a year, recognized as the Talent of the Month for exceptional accuracy and efficiency in performance.
• Fostered collaboration and expertise within the team through regular training sessions, encouraging cross-stream knowledge exchange.
• Developed robust scripts and tools to automate repetitive deployment tasks, resulting in significant time savings and increased efficiency.

PGC in Data Science

• Identification Of Fake News: A Machine Learning Approach: In this project I used a Kaggle dataset containing various news articles from all over the world. Used ML algorithms (Naïve bayes, Logistic Regression, SVM, Doc2Vec) to identify whether a given news article is fake or real.
• Sales Data Analysis Using SQL: In this project, I delved into a vast sales dataset to extract valuable insights. I explored sales trends over time, identified the top-selling products, calculated revenue metrics like total sales and profit margins, and crafted visualizations to effectively present my findings.