HEK

Hridhya E K

Data Science

https://talent.gravityer.com/hridhya-e-k

Data Science with 1+ years in Machine Learning & NLP

India

Key Strengths

Strong foundational knowledge in Data Science, Machine Learning, and NLP as evidenced by project work.
Proficiency in Python, SQL, and various data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn).
Experience with deep learning frameworks like TensorFlow and PyTorch.
Practical experience in developing end-to-end predictive analytics solutions and machine learning pipelines.
Demonstrated ability to apply various ML models (Decision Trees, Random Forest, XGBoost, Logistic Regression, Gradient Boosting) and techniques (feature engineering, hyperparameter tuning, imbalance handling).
Experience with NLP preprocessing and word embedding techniques (Bag of Words, TF-IDF, Word2Vec, GloVe) and clustering algorithms (K-Means, Mini-Batch K-Means, Hierarchical Clustering).
Exposure to Generative AI (Gemini API) for text recognition and semantic comparison.
Good academic record (CGPA 8.78 in B.Tech).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects demonstrate a diverse application of data science skills across various domains (NLP, ITSM, employee performance, agriculture, real estate). This breadth indicates adaptability and a willingness to tackle different types of problems, which can contribute positively to cultural fit in a dynamic environment. The target role of Data Science aligns well with the candidate's stated skills and project experience. However, the experience level is low, which might require more mentorship and integration into a senior team.

Soft Skills & Operational Fit

The candidate lists communication, problem-solving, team collaboration, analytical thinking, and adaptability as soft skills. While these are crucial for operational fit, there is no direct assessment data to validate these claims. The project descriptions suggest an ability to work on complex problems, which aligns with problem-solving and analytical thinking. The intern role at Rubixe involved collaboration, indicating some team collaboration experience.

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 foundational knowledge in Data Science, Machine Learning, and NLP as evidenced by project work.
Proficiency in Python, SQL, and various data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn).
Experience with deep learning frameworks like TensorFlow and PyTorch.
Practical experience in developing end-to-end predictive analytics solutions and machine learning pipelines.
Demonstrated ability to apply various ML models (Decision Trees, Random Forest, XGBoost, Logistic Regression, Gradient Boosting) and techniques (feature engineering, hyperparameter tuning, imbalance handling).
Experience with NLP preprocessing and word embedding techniques (Bag of Words, TF-IDF, Word2Vec, GloVe) and clustering algorithms (K-Means, Mini-Batch K-Means, Hierarchical Clustering).
Exposure to Generative AI (Gemini API) for text recognition and semantic comparison.
Good academic record (CGPA 8.78 in B.Tech).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Hridhya E K

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Key Strengths

Cultural & Operational Fit