I’m a passionate software engineer, opting for delivery of maintainable, reliable software that also meets the deadlines.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Essentia softserv LLP
Data Scientist
June 16, 2026 – Present
Stock-Tracker
October 5, 2024 – October 6, 2024
A web application that allows users to track real-time stock prices, monitor market trends, and analyze investment performance. Stay updated with live stock data, personalized watchlists, and in-depth analytics to make informed financial decisions.
View ProjectLibrary-Management-System
September 10, 2022 – September 10, 2022
A Simple Library management system in which an admin and perform CRUD part and students can only view the list of books.
View ProjectTwitter-Sentiment-Analysis
May 24, 2020 – May 24, 2020
Sentiment Analysis is the automated process of analyzing text data and sorting it into sentiments positive, negative or neutral. With more than 321 million active users, sending a daily average of 500 million Tweets, Twitter allows businesses to reach a broad audience and connect with customers without intermediaries.
View ProjectCifar10-data-analysis
May 24, 2020 – May 24, 2020
The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly-selected images from each class. The training batches contain the remaining images in random order, but some training batches may contain more images from one class than another. Between them, the training batches contain exactly 5000 images from each class.
View ProjectTitanic-Data-Analysis
July 20, 2019 – July 20, 2019
Titanic-Data-Analysis — GitHub repository
View Projectcombined-cycle-power-plant
July 12, 2019 – July 12, 2019
The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the power plant was set to work with full load. Features consist of hourly average ambient variables Temperature (T), Ambient Pressure (AP), Relative Humidity (RH) and Exhaust Vacuum (V) to predict the net hourly electrical energy output (EP) of the plant. A combined cycle power plant (CCPP) is composed of gas turbines (GT), steam turbines (ST) and heat recovery steam generators. In a CCPP, the electricity is generated by gas and steam turbines, which are combined in one cycle, and is transferred from one turbine to another. While the Vacuum is colected from and has effect on the Steam Turbine, he other three of the ambient variables effect the GT performance. For comparability with our baseline studies, and to allow 5x2 fold statistical tests be carried out, we provide the data shuffled five times. For each shuffling 2-fold CV is carried out and the resulting 10 measurement
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, which aligns with the target role. The diversity of projects, from web applications to data analysis, indicates a broad interest in technology. However, the experience level is listed as 0, and the only professional experience listed has a future start date, making it difficult to fully assess cultural fit based on past professional interactions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.