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Java | Python | Angular | Spring Boot | NLP | Chatbots | NITDGP CSE '23
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Willis Towers Watson (WTW)
Data Scientist
June 20, 2026 – Present
KisaanBot_Farmer_Assistant
January 3, 2023 – April 7, 2023
KisaanBot: A chatbot assistant for farmers towards improving livelihood
View ProjectDL_Coursera
September 25, 2021 – September 25, 2021
Lecture Slides and Programming Assignments of Deep Learning Specialization by deeplearning.ai (Andrew NG)
View Project30-Days-of-ML-Kaggle
August 2, 2021 – August 18, 2021
This repo contains the solutions of the assignments of the courses and submissions in the competitions with dataset required, which were part of 30 Days of ML by Kaggle.
View ProjectFake_News_Detector
June 30, 2021 – June 30, 2021
A Machine Learning model to detect fake news with more than 95% accuracy
View ProjectFootballer_Dashboard
June 28, 2021 – June 28, 2021
A footballer dashboard made with matplotlib using data from Fbref and Understat
View ProjectExcel_Automation
June 20, 2021 – June 20, 2021
Automating the Excel Dataset with charts and numbers for analysis with Python
View ProjectMoody_WhatsApp_Bot
June 15, 2021 – Present
A chatbot for WhatsApp using the Twilio API for WhatsApp and the Flask framework for Python
View ProjectChatBot_AIISC
May 21, 2021 – January 21, 2022
This repo contains my project works performed during my Research Internship at AI Institute, University of South Carolina, USA in collaboration with Indian Institute of Technology, Roorkee during the time period of May - August, 2021 under the guidance of Prof. Biplav Srivastava (AIISC) and Prof. Sandeep Kumar (IIT-R).
View ProjectChatBot
February 22, 2021 – May 16, 2021
ChatBot made in Python with Rasa Framework for IEEE SB NIT Durgapur
View ProjectImage_Classifier
September 6, 2020 – May 11, 2021
A MATLAB based model which uses transfer learning to train a deep network that can classify images of flowers into one of 12 species.
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on personal initiatives and academic collaborations, indicating a self-driven and curious individual. The diversity of projects, from farmer assistants to WhatsApp bots and Kaggle competitions, suggests an eagerness to explore different applications of data science. However, the lack of team-based project descriptions or explicit collaboration details makes it difficult to fully assess cultural fit beyond individual drive. The target role is 'Data Scientist', which aligns well with the candidate's project portfolio and current professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects and a single professional role.