Jayapriya P

Data Analyst

https://talent.gravityer.com/jayapriya-p

Bharathidasan University

Key Strengths

Strong academic foundation with an M.Sc. in Data Science (ongoing) and B.Sc. in Mathematics, demonstrating a solid theoretical background.
Hands-on experience in building and deploying Machine Learning and AI models using Python, Scikit-learn, TensorFlow, and Streamlit, showcasing practical application skills.
Proficiency in key data science tools and libraries including Pandas, NumPy, Matplotlib, Seaborn, LSTM, TextBlob, SQL, and Power BI.
Practical experience gained through internships, specifically a PwC Forage Power BI internship focused on data cleaning, interactive KPI dashboards, and business decision-making, which is highly relevant for a Data Analyst role.
Demonstrated ability to complete end-to-end projects, from data preprocessing and feature engineering to model evaluation and deployment, across various domains (e.g., health, finance, employee performance, weather).
Certifications in Big Data, Python, and Data Analytics further validate foundational knowledge and commitment to the field.
Good match for an entry-level Data Analyst role, with strong potential for growth into Data Scientist or ML Engineer positions given the breadth of ML/AI project experience.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data to assess cultural fit due to a score of 0 on the psychometric test.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit due to a score of 0 on the psychometric test, which evaluates logical reasoning, work attitude, stress handling, and team collaboration.

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 foundation with an M.Sc. in Data Science (ongoing) and B.Sc. in Mathematics, demonstrating a solid theoretical background.
Hands-on experience in building and deploying Machine Learning and AI models using Python, Scikit-learn, TensorFlow, and Streamlit, showcasing practical application skills.
Proficiency in key data science tools and libraries including Pandas, NumPy, Matplotlib, Seaborn, LSTM, TextBlob, SQL, and Power BI.
Practical experience gained through internships, specifically a PwC Forage Power BI internship focused on data cleaning, interactive KPI dashboards, and business decision-making, which is highly relevant for a Data Analyst role.
Demonstrated ability to complete end-to-end projects, from data preprocessing and feature engineering to model evaluation and deployment, across various domains (e.g., health, finance, employee performance, weather).
Certifications in Big Data, Python, and Data Analytics further validate foundational knowledge and commitment to the field.
Good match for an entry-level Data Analyst role, with strong potential for growth into Data Scientist or ML Engineer positions given the breadth of ML/AI project experience.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data to assess cultural fit due to a score of 0 on the psychometric test.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit due to a score of 0 on the psychometric test, which evaluates logical reasoning, work attitude, stress handling, and team collaboration.

Jayapriya P

Key Strengths

Cultural & Operational Fit

Skills

Education

Key Strengths

Cultural & Operational Fit