Navanil Sengupta
- |-|linkedin.com/in/navanil |github.com/navanil018 |https://devpost.com/navanil008
EDUCATION
The University of Texas, Dallas
Master of Science in Computer Science
KIIT University, India
Bachelor of Technology, Computer Science and Engineering
TECHNICAL SKILLS
Languages & Frameworks:
Web Technologies:
Databases:
Machine Learning tools:
Visualization & Others:
May 2021
3.3/4.0
April-/10.0
Python, Java, JavaScript, Flask, Django, Node.js, Express, Monk, Spark, Scala, MapReduce
HTML5, CSS, Bootstrap, XML, jQuery, JSON, REST API, Angular
MongoDB, Oracle DB, MySQL, Teradata, Microsoft SQL Server
Pandas, NumPy, SciPy, Scikit-Learn, TensorFlow, Seaborn, Keras, NLTK
Tableau, Microsoft Power BI, Qlik sense, Google Analytics, DevOps, Cloud (AWS EC2), Docker, Git
PROFESSIONAL EXPERIENCE
CenturyLink
June 2020 – August 2020
Machine Learning Engineer intern, NLP
• Incoming Machine Learning intern in the chatbot team to design and implement conversational AI systems to enable organic,
emotionally responsive conversations with IBM Watson.
Accenture (Client: SiriusXM)
May 2017 – May 2019
Software Engineer
• Working in a Supply Chain Development team through Agile software lifecycle approach in Java, Oracle PL/SQL Development.
• Developed PL/SQL triggers for new initiatives, setting up Hibernate framework, configured mapping.xml files.
• Proposed and headed data analysis and reporting using Microsoft Power BI for system load and automation.
PROJECTS
COVID-19 Fake News Detector
March 2020
• Created a Google Chrome extension using Google Chrome API which enables the users to fact check an article related to
COVID - 19. The client-side design was done in JavaScript, HTML, CSS, JSON and jQuery.
• The body of the news article is retrieved using RESTful API and the result consists of tags such as clickbait, related fake news,
primary source and the corrected statement from a trusted source. The server-side code was done in Python, Flask with SQLite.
Link - https://devpost.com/software/get-the-fake-out-ebszav
Alfred Chatroom
November 2019
• Created an AI based age restricted multilingual chatroom with assisted chatbot.
• Analyzes age using facial recognition from webcam using a Wide-Resnet trained model analyzed from 10M data points with a
precision of 82% alongside the chatbot made with a conversation corpus.
• Built using Chatterbot, OpenCV, Flask, SQLAlchemy. Link - https://devpost.com/software/ai-fred-6ubhoi
Temoctor – Interview Preparation application
October 2019
• Built an interview preparation application using a LSTM model trained on SQUAD dataset combining over 100,000 Q&A.
• It used keywords to grade responses and mimic questions which are likely to be used in an actual interview with NLP to tap in
tokenization into critical grading.
• Built using NLTK, Gensim, Keras, pydub, google-web-speech API, Flask. Link - https://devpost.com/software/temoctor
Yelp – Web Development using Yelp fusion API
October 2019
• Developed an interactive web application using Python on Flask Web Framework integrating Yelp Fusion API.
• Designed the front-end modules using HTML5, JavaScript, jQuery, Bootstrap framework of CSS to showcase a dashboard to
geolocate the restaurants using the JSON formatted data and plot them using Google-Map API based on the user’s location.
• Implemented various functionality like top N reviews, cuisines, business search query based on the location.
Placement Prediction using Students profile
August 2019
• Collected a student education data and built a model using Random Forest Classifier to classify the chances of securing a job
based on the profile having a precision of 80%.
• Used the score to build an eligibility system to classify students with over 75% match success.
ACTIVITIES
• Participated in HackTheCrisis for COVID-19, Link - https://devpost.com/software/get-the-fake-out-ebszav
• Winner at UTD Emerging technology hackathon, Link - https://devpost.com/software/ai-fred-6ubhoi
• Participated in Hack UTD, Link - https://devpost.com/software/temoctor
April 2020
October 2019
November 2019
