Badges
Certifications
Work Experience
Subject Matter Expert
Bartleby Technologies• October 2021 - Present
Subject: Mathematics
Managed Network Expert
Chegg• March 2021 - August 2021
Subject: Computer Science
Placement Coordinator
Jadavpur University• January 2020 - August 2021
• 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.
Summer Training and Internship in Applied Machine Learning and Data Science
IIT Kanpur• April 2020 - June 2020
• 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. Tools: Python, Machine Learning, Exploratory Data Analysis (EDA), Naive Bayes, SVM
Summer Intern in Machine Learning
Skybits Technologies• May 2018 - July 2018
• 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. Tools: Python, Deep Learning, Keras, Faster RCNN, Image Processing
Winter Intern in Data Analytics
IIM Lucknow• December 2017 - January 2018
* Increased expertise in Data Analytics with the help of R Programming through the internship program. * 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
Education
Jadavpur University, Kolkata
Computer Science & Engineering, M.Tech• July 2019 - August 2021
Grade: CGPA - 9.56 Percentage - 88.56 • Thesis : "Ontology based Data Modelling for NoSQL Databases" ( Developing an Algorithm to design a NoSQL Database from a given set of queries and domain ontology) • Department topper (University Medalist)
IIEST, Shibpur (Indian Institute of Engineering Science and Technology Bengal Engineering and Science University - Erstwhile BESU, Shibpur)
Computer Science, B.Tech• July 2015 - June 2019
Grade: First class - Overall CGPA 8.21 Activities and societies: Catharsis - The Photography Society, the Quizmaniac-BEings the Quiz Club; Nascent Quizzogen (Fresher's Quiz '15) - 4th UNDERGRADUATE PROJECT - "Vision Assistant" • The project addresses the need for an assistant in real-time for a blind human being. • Built an Android application using the mobile camera that will help people with low or no visibility to easily find or locate frequently usable items like bottles, bags, etc. • COCO data set is used for training. Faster R- CNN and YOLO were used to build the object identification and detection model. Tools: Python, Android, YOLO, Machine Learning, Faster RCNN
Links
Skills
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