SDE-3 @ Autodesk || Fullstack Developer building 0-to-1 products & services for the industry!
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Autodesk
Data Scientist
June 25, 2026 – Present
Azure-Function-GithubMonitor
June 23, 2022 – June 23, 2022
Webhook to monitor Github repos
View ProjectSentiment140
June 8, 2021 – June 8, 2021
Sentiment analysis for 1,600,000 tweets extracted using the twitter api. EDA + Predictive Modelling
View ProjectWorld_Happiness_Report
June 8, 2021 – June 8, 2021
EDA & Regression Analysis for the World Happiness Report 2017 (https://www.kaggle.com/unsdsn/world-happiness?select=2017.csv) with R.
View ProjectExplainable-AI-for-Multimodal-Credibility-Analysis-of-Online-Beauty-Health-MisInformation
April 13, 2021 – September 20, 2021
Explainable AI- assisted Multimodal Credibility Assessment System for health blogs hosted online that examines the credibility of its platform, author and images. This work is now an official IEEE publication : https://ieeexplore.ieee.org/document/9531594
View ProjectFNA_Result_Analyser
December 5, 2020 – June 8, 2021
Detailed EDA & Model Creation to predict the nature of tumour (belign/malignant) to help detect breast cancer. Deployed for use at : https://ai-project-fna-analyser.herokuapp.com/
View ProjectPOC_for_TTT_Prosemirror
October 13, 2020 – June 8, 2021
Editor POC for TTT. Made purely with prosemirror. Deployed.
View ProjectWebApp-For-Sentiment-Analysis
July 22, 2020 – September 24, 2020
A Sentiment Analyser Web App (streamlit) trained on the IMDB Reviews Dataset with custom made models (LSTM,Conv1D,DNN) Pre trained embeddings : Word2Vec
View ProjectMovie-Review-Analyser
June 24, 2019 – June 24, 2019
Typical sentiment analyser module using NLTK. Incorporation of Naive Bayes, SVC, Logistic Regression, SGD Classifer from Scikit-Learn . Use of Tkinter for Frontend and Pickle to save classifiers.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science and machine learning, aligning well with a Data Scientist role. The diversity of projects, from academic research (Explainable AI) to web application deployment (FNA_Result_Analyser, WebApp-For-Sentiment-Analysis), indicates a broad interest and ability to apply skills in different contexts. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual, evidenced by multiple personal projects and a publication. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.