Anikait Thakur

Data Scientist

https://talent.gravityer.com/anikait-thakur

PSG College of Technology

Key Strengths

Demonstrated interest in Machine Learning and Data Science through multiple personal projects (Brain-Computer-Interfacing, Stock-prediction, Health-Log-Analysis, ML-Lab, NN, Face_Recognition_Attendance).
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, a common tool in data analysis and machine learning workflows.
Exposure to diverse data science applications, including NLP (Stock-prediction), time-series analysis (Stock-prediction), and bio-signal processing (Brain-Computer-Interfacing).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong inclination towards individual, personal projects, which suggests a self-starter mentality. However, there is no information regarding collaborative projects or team-based work, making it difficult to assess cultural fit in a team environment. The experience level is listed as 0, and the current role as 'Software Engineer' starting in 2026 suggests this is a future or placeholder entry, not current professional experience. This limits the ability to assess professional work ethic and collaboration.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.

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Projects

Extreme-Clasification

May 21, 2024 – May 21, 2024

Extreme-Clasification — GitHub repository

View Project

Health-Log-Analysis

January 30, 2024 – February 2, 2024

Exploring and Analyzing Heath App Data in Log form

View Project

Unfold.jl-

August 16, 2023 – August 22, 2023

Converting legacy Matlab based code to Julia

View Project

Brain-Computer-Interfacing

March 10, 2023 – March 26, 2023

A machine learning approach to convert EEG Signals into Words

View Project

March 8, 2023 – March 8, 2023

NN — GitHub repository

View Project

Fashion-Store

March 7, 2023 – April 1, 2023

Fashion-Store — GitHub repository

View Project

ML-Lab

February 8, 2023 – March 9, 2023

ML-Lab — GitHub repository

View Project

EzProxies

November 23, 2022 – December 15, 2021

An IpVanish Proxies Scraper

View Project

Face_Recognition_Attendance

November 14, 2022 – November 14, 2022

Face_Recognition_Attendance — GitHub repository

View Project

Stock-prediction

September 7, 2022 – November 14, 2022

WebApp for sentiment analysis of stock headlines using XML news feeds and predicting stock price

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through multiple personal projects (Brain-Computer-Interfacing, Stock-prediction, Health-Log-Analysis, ML-Lab, NN, Face_Recognition_Attendance).
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, a common tool in data analysis and machine learning workflows.
Exposure to diverse data science applications, including NLP (Stock-prediction), time-series analysis (Stock-prediction), and bio-signal processing (Brain-Computer-Interfacing).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.

Anikait Thakur

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit