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StockStalkers
March 14, 2022 – April 4, 2022
We created stock market prediction website using dash framework. In this We have used 5 machine learning model: Moving Average (MA), Simple Linear regression model with Gradient Descent Algorithm, KNN, Auto ARIMA and LSTM.
View ProjectHandwritten-Digit-Recognition
July 18, 2021 – July 20, 2021
To develop a model which can correctly classify the handwritten digits from 0-9 based on the pixel values given as features.
View ProjectDiabetes-Prediction
June 26, 2021 – June 27, 2021
The dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.
View ProjectVerzeo-Internship
May 27, 2021 – July 26, 2021
The objective of this training is to learn Exploratory Data Analysis, Linear Regression Model like different algorithm and to increase technical skills and other skills like communication, teamwork, and time management.
View ProjectWebAPIProject_CE086_CE108_CE109
March 26, 2021 – April 3, 2021
WebAPIProject_CE086_CE108_CE109 — GitHub repository
View ProjectClassroom-Test-Suite
January 1, 2021 – November 12, 2021
An app to take tests and evaluate students by admins. it uses Google's firebase for managing the tests, results and authentication. it lets you see the leaderboard after successful completion of tests. Admin has access to all the results and other features automatically. it uses firebase-storage feature to save user profile images.
View ProjectOnline-Mock-Test-System
December 27, 2020 – June 26, 2021
NET Core based systems for students to prepare for examinations by giving mock tests online.
View ProjectOnline-Movie-Ticket-Booking
December 27, 2020 – June 26, 2021
Django framework-based web application which helps users to book the latest movie ticket online anytime and anywhere.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse interest in both data science and web development, which could indicate adaptability. However, the projects are all personal and lack details on collaboration or team dynamics, making a comprehensive cultural fit assessment difficult. The target role is Data Scientist, and while several projects align, the breadth of other development projects (Java, C++, .NET) suggests a broad technical interest rather than a focused data science background.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication, teamwork, or stress handling.