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Data Engineer
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DSA_And_SQL
March 18, 2025 – March 19, 2025
DSA and SQL Practice and solving interesting problems!
View ProjectFake-News-Detection-using-NLP-and-Bi-LSTM
December 28, 2021 – December 28, 2021
The increasing number of fake news online is a danger for societies and governments as has been already probed. Moreover, the yearly increasing number of hoaxes and the emergence of artificial intelligence trained to generate texts denote the need for strong systems oriented to discriminate the deceptions. The goal was to create a proficient and relevant model to correctly detect these fake news and hoaxes.
View ProjectStock-Price-Prediction-Using-Machine-Learning-And-Deep-Learning
September 10, 2021 – September 10, 2021
Predicting how the stock market will perform is one of the most difficult things to do. There are so many factors involved in the prediction – physical factors vs. psychological, rational and irrational behavior, etc. All these aspects combine to make share prices volatile and very difficult to predict with a high degree of accuracy. Using Time Series Forecasting, which is the process of analyzing time series data using statistics and modelling to make predictions and inform strategic decision-making, I have tried to predict the future stock price based on its historical data.
View ProjectSocial-Media-App-using-MERN-stack
July 21, 2021 – July 21, 2021
Social-Media-App-using-MERN-stack — GitHub repository
View ProjectStudent-Placement-Prediction-using-Machine-Learning
May 23, 2021 – May 23, 2021
The main aim of every academia enthusiast is placement in a reputed MNC’s and even the reputation and every year admission of Institute depends upon placement that it provides to their students. So, any system that will predict the placements of the students will be a positive impact on an institute and increase strength and decreases some workload of any institute’s training and placement office (TPO). With the help of Machine Learning techniques, the knowledge can be extracted from past placed students and placement of upcoming students can be predicted. Data used for training is taken from the same institute for which the placement prediction is done. Suitable data pre-processing methods are applied along with the feature selections. Some Domain expertise is used for pre-processing as well as for outliers that grab in the dataset. We have used various Machine Learning Algorithms like Logistic, SVM, KNN, Decision Tree, Random Forest and advance techniques like Bagging, Boosting and V
View ProjectFace-Detection---OpenCV-and-Keras
January 1, 2021 – May 23, 2021
The World Health Organization (WHO) reports suggest that the two main routes of transmission of the COVID-19 virus are respiratory droplets and physical contact.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, primarily in Data Science and Machine Learning. The diversity of projects (stock prediction, student placement, fake news detection, face detection) suggests a broad interest within the field. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The target role of 'Data Scientist' aligns well with the themes of the personal projects.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to articulate technical problems and solutions. However, without psychometric or English test results, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.