Apr 2022 – Jun 2022 · 2 mos · Kharagpur, West Bengal, India

• CS19001: Programming and Data Structures Laboratory (Spring Semester 2022)

Mar 2021 – Aug 2021 · 5 mos · Kolkata, West Bengal, India

• Subject: Computer Science

Apr 2020 – Jun 2020 · 2 mos · Kanpur, Uttar Pradesh, India

• Enhanced knowledge in Data wrangling, Python, and storytelling with data through a combination of online training and advanced internship. Also learned about the basics of Deep Learning, Machine Learning, and NLP along with Computer Vision toolboxes.
• Key Project: Twitter Sentiment Analysis - Predicting the sentiment of tweets as positive, negative, or neutral using Machine Learning algorithms like - Naive Bayes, SVM, etc.
• Results - Achieved an accuracy score of 83% using Naive Bayes Classifier (NLTK) during the model training and an F1 score of 0.6503 in the Kaggle Competition as the final result.
• Keywords: Python, Machine Learning, Exploratory Data Analysis (EDA), Naive Bayes, SVM

Jan 2020 – Jul 2021 · 1 yr 6 mos · Kolkata, West Bengal, India

• Serve as a placement co-ordinator for the department of distributed and mobile computing at Jadavpur University.
• Communicate with all students and provide assistance to all graduates and review all procedures of the placement department.
• Promote all placements of graduates to various prospective employers through phone, email, and internal system.

May 2018 – Jul 2018 · 2 mos · Kolkata Area, India

• Worked on a Video Analytics Project: The main objective of the project was to detect smoke after processing a video.
• An Object Identification Model was built using Faster R-CNN. The video was processed as a series of frames. The batches of frames are processed periodically by the model and determines about the presence of smoke in it or not.
• Results - Achieved an accuracy of 70-80 % after the test.
• Keywords: Python, Deep Learning, Keras, Faster RCNN, Image Processing

Dec 2017 – Jan 2018 · 1 mo · Lucknow, Uttar Pradesh, India

• Data analytics intern on the application of R in Data Analytics under Prof. Sameer Mathur, Ph.D. (Carnegie Mellon University) and Marketing Professor (IIM Lucknow).
• Increased expertise in Data Analytics in R through the internship program of the Indian Institute of Management, Lucknow.
• Analyzed multiple case studies from Harvard Business Review, while reviewing the difference in salary of MBA graduates.
• Established visualizations for all of the tasks by using various statistical tools.
• Key Projects:
• Red Wine Quality Analysis - Data Analytics, R
• Conduced an empirical Red Wine Quality Analysis of Portuguese “Vinho Verde” wine.
• Investigated the physicochemical (inputs in %), such as Alcohol, Sulphates, and other content varies the quality of Wine.
• Link 1: https://rpubs.com/ayan_7926/redwine
• Link 2: https://rpubs.com/ayan_7926/projectreport
• MBA Salary Discrepancy - Data Analytics, R
• Evaluated the difference in salary of MBA graduates in India based on multiple factors.
• Conducted case study and developed dataset available through Harvard Business Review.
• Link: https://rpubs.com/ayan_7926/mba
• Airline Pricing - Data Analytics, R
• Reviewed factors behind the price difference between premium economy and economy class in international and domestic flights.
• Link: https://rpubs.com/ayan_7926/airline
• Store 24 (A) Managing Employee Retention - Data Analytics, R
• Provided a retailing context for employee retention strategies by analyzing detailed store-level data.
• Link: https://rpubs.com/ayan_7926/store24N