Chirag Trasikar

Data Scientist

https://talent.gravityer.com/chirag-trasikar

I.T. student at Veermata Jeejabai Institute of Technology.

Mumbai, Maharashtra, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with Python, Jupyter Notebook, and Shell scripting, which are core technologies for Data Scientists.
Projects cover various ML/DL domains including Super-Resolution, Reinforcement Learning, Classification, and Neural Networks.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects indicate a strong interest in machine learning and data science, aligning with a Data Scientist role. However, the projects are predominantly personal and academic, lacking diversity in team collaboration or real-world business impact, which might indicate a need for development in a professional team environment. The experience level is 0, suggesting a junior profile for a senior role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

seldonian-simglucose

November 3, 2022 – November 3, 2022

Creating a safe controller to administer Insulin to a variety of Diabetes patients.

View Project

OneStepLookAheadMountainCar

October 18, 2022 – October 18, 2022

The One-Step Lookahead + Truncated Rollout method applied to

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text-summarization-and-simplification

May 13, 2022 – May 13, 2022

This repository contains the code for our final project for CS 685, Spring 2022.

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Deep-learning-based-Real-Time-Super-Resolution

February 21, 2022 – May 13, 2022

Project on evaluating and assessing current super-resolution methods for both images and videos to assess their performance in terms of latency and super-resolution quality, and researching new strategies to improve the real-time execution of these methods.

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DeepLearningLibrary

January 26, 2021 – January 26, 2021

DeepLearningLibrary — GitHub repository

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titanicFeedForwardNN

January 15, 2019 – January 15, 2019

A 2-layered neural network to predict survivors in the Titanic dataset

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Inventory-management---using-RL

October 3, 2018 – March 1, 2019

Final Year Project on Inventory management system using RL

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vjti-tpo-app

March 25, 2018 – April 6, 2018

A simple application for VJTI TPO to demonstrate the use of microservice architecture

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3dsnake

August 1, 2017 – August 1, 2017

3D Snake Game using PyGame and OpenGL

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breast-cancer-sklearn-knn

July 11, 2017 – July 11, 2017

Practice for K Nearest Neighbors algorithm with SciKit learn

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with Python, Jupyter Notebook, and Shell scripting, which are core technologies for Data Scientists.
Projects cover various ML/DL domains including Super-Resolution, Reinforcement Learning, Classification, and Neural Networks.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Chirag Trasikar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit