About

Ayan Banerjee is an aspiring data scientist with a passion for machine learning, deep learning, data analysis, and statistical model building. He is currently pursuing a Post Graduate Diploma in Business Analytics jointly conducted by IIM Calcutta, IIT Kharagpur, and ISI Kolkata. Prior to joining this program, Ayan worked for 3.5 years as a Consultant at PwC, where he investigated email alerts, built prototype spam classifier models, classified PwC-related tweets into positive and negative sentiments, and improved weighted F1 scores using XGBoost over Naïve Bayes classifier post TF-IDF vectorization. He also created interactive dashboards in Tableau to analyze data, collaborated with global DLP teams to investigate outbound mail traffic for any data loss prevention policy match, and reviewed DLP alerts and contributed to policy refinement that resulted in a 20% reduction of False Positive incidents. Ayan has a Bachelor of Engineering in Electrical Engineering from Jadavpur University. He is skilled in Python, XGBoost, Deep Learning, ML, SQL, Stemming, Research Scientist, Random Forest, Sentiment Analysis, ResNet, SVM, AI, Hyperparameter, CNN, Spark, test, Tensorflow, MySQL, NoSQL, Mobile, Software Engineer, and Computer Vision. He is a tech-savvy individual who is always up-to-date with the latest technologies and trends in the industry. Ayan is a highly motivated individual who is committed to achieving his goals. He is a team player who enjoys collaborating with others to achieve common goals. He has excellent communication skills, which he uses to convey complex ideas to both technical and non-technical audiences. With his strong work ethic and technical expertise, Ayan is well-positioned to make a significant contribution to any organization he joins.