AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IIT Madras
Data Scientist
June 12, 2026 – Present
pelen
March 3, 2024 – May 22, 2024
pelen — GitHub repository
Analysis-of-Indian-Railway
October 13, 2023 – October 13, 2023
Analysis-of-Indian-Railway — GitHub repository
View ProjectGauss-Siedel-Method-CFD
October 11, 2023 – October 13, 2023
Gauss Siedel method with relaxation to solve the CFD problem
View ProjectCats-and-Dogs-Classifier
September 18, 2023 – September 20, 2023
Deep learning model to classify cats and dogs
View ProjectFashion-mnist-DL-model
September 12, 2023 – September 13, 2023
Deep learning model used on fashion-mnist dataset
View ProjectChat-Room-Application-Python
August 31, 2023 – August 31, 2023
Chatroom Application with UI using python and Tkinter
View ProjectPower-and-Frequency-Prediction-Program
June 22, 2023 – August 29, 2023
LSTM Model to Predict the Scheduled Power Generation by taking Frequncy, Scheduled Generation, and Actual Generation saved in Historical Data
View ProjectFrequency-and-Power-Prediction-System
June 20, 2023 – November 1, 2023
Machine Learning Tool to Forecast Grid Frequency and Scheduled Power Generation of Thermal Power Plant.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, which aligns with the target role. However, the projects are predominantly personal and academic, with limited exposure to collaborative or industry-standard practices. The breadth of technologies is somewhat focused on Matlab and Python for ML, with less diversity in other data science ecosystem tools. The single listed experience at IIT Madras as 'Data Scientist' is current but lacks details, making it difficult to fully assess cultural fit in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.