AP
Data ScientistIndiaMember since June 16, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
mnist_app
December 17, 2022 – December 17, 2022
Python flask app which recognize the number in the image.
View ProjectPythonCalculator
May 23, 2021 – May 23, 2021
PythonCalculator is a simple calculator built using Python and PyQt5
View ProjectObject-Localization-using-Deep-Reinforcement-Learning
July 18, 2020 – Present
We have trained an intelligent agent that draws bounding boxes around an object in the image. This implementation combines CNN, DQN, and SVM to detect an object in an image. The algorithm extract features from CNN which are fed to DQN to train an agent to localize the object and this localized object is categorized using the SVM model.
View ProjectTime-Series-Analysis
November 11, 2019 – July 19, 2020
Given the traffice data forecast the traffic for next 7 months.
View ProjectKernighan-Lin-Scratch-code-for-graph-partitioning
November 10, 2019 – April 27, 2024
The Kernighan–Lin algorithm is a heuristic algorithm for finding partitions of graphs. The algorithm has important applications in the layout of digital circuits and components in VLSI.
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on personal exploration in various data science and machine learning domains. The diversity of projects, from deep reinforcement learning to graph partitioning and LLM optimization, suggests a proactive and curious individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.