Aahna Shresth

Python Engineer

https://www.opentalent.in/aahna-shresth

Patna, indiaMember since June 22, 2025

Key Strengths

Strong academic background in Statistics and Machine Learning, with a PGD in Statistical Methods & Analytics from a reputable institution.
Demonstrated project experience in applying various Machine Learning models (Logistic Regression, RF, AdaBoost, XGBoost, ARIMA, ARMA, LDA) for classification and forecasting tasks.
Proficiency in Python and R for data analysis and ML, utilizing libraries such as Scikit-Learn, Pandas, NumPy, Matplotlib, and Seaborn.
Strong scholastic achievements, including high ranks in competitive admissions and academic programs.
The candidate's profile is well-aligned with entry-level Data Scientist or ML Engineer roles, showcasing strong foundational knowledge in data science methodologies.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score is 0, indicating insufficient data for evaluating logical reasoning, work attitude, stress handling, and team collaboration. The candidate's involvement as a regular donor to UNICEF suggests a degree of social responsibility. However, a comprehensive cultural fit analysis is not possible with the provided data.

Soft Skills & Operational Fit

Communication clarity is moderate, as indicated by the English test score of 72/100. Psychometric data is insufficient for a comprehensive assessment of logical reasoning, work attitude, stress handling, and team collaboration. Academic achievements and extracurricular activities (quiz winner, competitive exam success, UNICEF donor) suggest intellectual curiosity, drive, and social responsibility. However, operational fit for a senior engineering role cannot be fully assessed due to the lack of professional experience and complete psychometric data.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong academic background in Statistics and Machine Learning, with a PGD in Statistical Methods & Analytics from a reputable institution.
Demonstrated project experience in applying various Machine Learning models (Logistic Regression, RF, AdaBoost, XGBoost, ARIMA, ARMA, LDA) for classification and forecasting tasks.
Proficiency in Python and R for data analysis and ML, utilizing libraries such as Scikit-Learn, Pandas, NumPy, Matplotlib, and Seaborn.
Strong scholastic achievements, including high ranks in competitive admissions and academic programs.
The candidate's profile is well-aligned with entry-level Data Scientist or ML Engineer roles, showcasing strong foundational knowledge in data science methodologies.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit