B.Tech in Computer Science at Jaypee Institute of Information technology
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Assessing your cultural and operational fit
Link-Prediction-using-Genetic-Algorithm
July 15, 2022 – July 15, 2022
Improving Link Prediction in Social Network using Genetic Algorithm.
View ProjectHacktoberfest-2021
October 1, 2021 – October 1, 2021
Hacktoberfest-2021 — GitHub repository
View ProjectOpen-Source-Software-Lab
August 31, 2021 – August 31, 2021
Open-Source-Software-Lab — GitHub repository
View ProjectSentiment-Analysis
July 24, 2021 – August 15, 2021
Used IMDB's movie review dataset from Kaggle and developed a Naive Bayes model to classify the reviews as positive or negative with 85% accuracy. Used tokenization, lemmatization, tf-idf vectorizer for data preprocessing.
View ProjectML-Stream-Interns-Summer-21
June 17, 2021 – July 23, 2021
ML-Stream-Interns-Summer-21 — GitHub repository
View ProjectSplitcoin
May 24, 2021 – August 15, 2021
C++ Program to minimize the number of transactions made within a group using Dinic’s maximum flow algorithm.
View ProjectML-Advanced-Project
April 22, 2021 – April 22, 2021
ML-Advanced-Project — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows initiative through personal projects, including participation in Hacktoberfest. The diversity of projects, ranging from NLP to graph algorithms and deep learning, indicates a broad interest in technical challenges. However, the lack of professional experience or detailed project descriptions makes it difficult to fully assess cultural fit, especially regarding teamwork and adaptability in a professional setting. The projects align with a Data Scientist role, but the depth of contribution and collaboration aspects are unclear.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style. No psychometric test results are available.