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Enthusiastic towards Machine Learning , Deep Learning and Artificial Intelligence.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Hacker_Earth_Airplane_Accident
February 26, 2020 – February 26, 2020
Hacker_Earth_Airplane_Accident — GitHub repository
View ProjectHacker_Earth_Super_Bowl
February 26, 2020 – February 26, 2020
This is my solution for https://www.hackerearth.com/challenges/competitive/hackerearth-machine-learning-challenge-predict-big-game-winner/
View ProjectFace_recognition_using_webcam
February 7, 2020 – February 7, 2020
This is a personal project built for personal learning.
View ProjectHuman-Activity-Recognition-Using-Smartphones-DivideAndConquer
November 14, 2019 – November 14, 2019
Human-Activity-Recognition-Using-Smartphones-DivideAndConquer — GitHub repository
View ProjectLSTM-DonorsChoose
November 14, 2019 – November 14, 2019
LSTM-DonorsChoose — GitHub repository
View ProjectMNIST_CNN
June 19, 2019 – June 19, 2019
The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.
View ProjectMNIST_NN
June 19, 2019 – June 19, 2019
The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.
View ProjectNetflix_Movie_Recommendation
June 19, 2019 – June 19, 2019
Netflix provided a lot of anonymous rating data, and a prediction accuracy bar that is 10% better than what Cinematch can do on the same training data set. (Accuracy is a measurement of how closely predicted ratings of movies match subsequent actual ratings.)
View ProjectPersonalized_Cancer_Diagnosis
June 18, 2019 – June 18, 2019
Classify the given genetic variations/mutations based on evidence from text-based clinical literature.
View ProjectDonors_Choose_Classification_Models
June 18, 2019 – June 19, 2019
Apply multiple Classification models on Donors Choose Set (K-Nearest Neighbor ,Naive Bayes,Logistic Regression, SVM, Decision Tress, Random Forests, Gradient Boosted DT's )
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong individual drive for learning and applying machine learning concepts. However, the lack of professional experience, team projects, or diverse work environments makes it difficult to assess cultural fit for a collaborative professional setting. All projects are personal and utilize a single technology (Jupyter Notebook), which limits insight into broader toolchain familiarity or collaborative development practices.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily lists personal projects without team context or professional experience.