Master of Data Science student at the University of Melbourne.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
COMP90024-ClusterAndCloudComputing-Assignment2
April 17, 2021 – May 27, 2021
Twitter data analysis to understand life in Australian cities
View ProjectTwitterDataAnalysisOnHPC-COMP90024
March 18, 2021 – May 25, 2021
Analysing Twitter data to obtain sentiment of different blocks in Melbourne
View ProjectTrafficSignClassification
July 2, 2020 – July 2, 2020
Convolution based DNN for traffic sign classification into 43 different classes
View ProjectCIFAR10Convolution
June 30, 2020 – June 30, 2020
Convolution based DNN model for CIFAR10 dataset
View ProjectHousePricesNeuralNetwork
June 27, 2020 – June 28, 2020
Simple 3 layers neural network for regression problem
View ProjectHandWrittenNumberRecognition
June 4, 2020 – June 17, 2020
Simple Neural Networks with Linear layers and Relu activation function.(3 Layers) ACCURACY ACHIEVED -> 96.9%
View ProjectCovid19Dashboard-EagleEye
May 3, 2020 – January 6, 2023
First place in Call For Code 2020 AN/Z region. Smart Population and Activity monitoring solution. (WebApp)
View ProjectVocal-Data-Analysis
November 8, 2019 – June 9, 2020
B.Tech final year project (Research Project)
View ProjectBangladesh-Rainfall
March 16, 2019 – March 30, 2019
Time Series data Analysis of Rainfall in Bangladesh
View ProjectDiabetesDatabase-NaiveBayes-SVM
February 7, 2019 – March 30, 2019
Predicting the chance of Diabetes by using NaiveBayes and SVM
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning. The diversity of projects, from time series analysis to sentiment analysis and image classification, suggests a broad interest within the data science domain. The 'Call For Code' award indicates potential for innovation and working under pressure. However, the lack of team-based or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.