I am a Data Scientist and Software Developer. I love programming, writing, and playing soccer.
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Software Engineer
Data Scientist
June 19, 2026 – Present
strikersps-github-stats
February 8, 2022 – Present
strikersps-github-stats — GitHub repository
View ProjectData-Augmentation-For-Brain-Tumor-Segmentation-Using-MONAI-Framework
January 29, 2022 – August 19, 2022
This repository consists of the source-code for developing an efficient data augmentation pipeline using MONAI framework for BraTS-2020 dataset
View ProjectExploratory-Data-Analysis
July 8, 2021 – February 17, 2022
This repository consists of all the EDA's which I have performed on some interesting datasets in order to tell the story hidden in the dataset.
View ProjectBrain-MRI-Image-Classification-Using-Deep-Learning
June 25, 2021 – October 6, 2022
Trained a Multi-Layer Perceptron, AlexNet and pre-trained InceptionV3 architectures on NVIDIA GPUs to classify Brain MRI images into meningioma, glioma, pituitary tumor which are cancer classes and those images which are healthy into no tumor class.
View ProjectCholera-Disease-Analysis
June 15, 2021 – August 17, 2022
The repository shows the data analysis of Cholera disease which is killing people for last two centuries using R programming language.
View ProjectForecasting-India-and-USA-Benchmark-Indices-Using-ARIMA-and-Prophet
May 27, 2021 – August 19, 2022
This repository provides a novel approach about how can we use the ARIMA time series model and a suite of models provided by Prophet library (open-sourced by Facebook) to forecast financial time series data i.e. S&P BSE SENSEX and S&P-500.
View ProjectCOVID-19-Impact-On-Indian-Stock-Market
February 3, 2021 – October 6, 2022
This repository provides an approach towards data analysis and visualization of financial dataset which is used to gauge the impact of COVID-19 on Indian Stock Market mainly on benchmark indices i.e. NSE NIFTY-50 and S&P BSE SENSEX.
View ProjectCompetitive-Programming
August 24, 2019 – January 22, 2022
The repository consists of accepted solutions to the problems in competitive programming websites like SPOJ, CSES, UVa Online Judge, Google Kickstart, Google Code-Jam, CodeChef, CodeForces, HackerRank, HackerEarth, etc in C/C++ and Python.
View ProjectObject-Detection-Using-TensorFlow
October 26, 2018 – May 16, 2020
The repository contains the code-base for the project named Object Detection Using Tensorflow and relevant details.
View ProjectCultural Fit Analysis
The candidate's portfolio shows a strong interest in data science and machine learning, aligning well with a Data Scientist role. The diversity of personal projects, from disease analysis to financial forecasting and image classification, indicates a broad curiosity and willingness to tackle different problem domains. The competitive programming background suggests a drive for continuous learning and problem-solving, which can be a positive cultural fit. However, the lack of team-based projects or professional experience details makes it challenging to fully assess collaboration and professional work environment fit.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual, keen on exploring diverse data science applications. However, without specific psychometric or English test results, it's difficult to assess communication clarity, teamwork, or stress handling directly. The project descriptions are generally clear but lack detail on collaboration or project management aspects.