PRATIBHA SINGH

Data Science

https://www.opentalent.in/pratibha-singh

Delhi, Delhi, IndiaMember since March 26, 2026

Key Strengths

Extensive 9+ years of experience in AI/ML and Data Science, with a strong focus on delivering data-driven solutions.
Proficiency in a wide array of Data Science techniques including Predictive Modeling, Machine Learning (XGBoost, Random Forest), Time-Series Forecasting, and Statistical Modeling.
Strong programming skills in Python (Scikit-learn, Pandas, PySpark) and SQL, with experience in Power BI.
Hands-on experience with Cloud and MLOps platforms such as Databricks, AWS (SageMaker, S3), and Azure for model deployment.
Diverse domain expertise across Retail & Marketing, Insurance, Healthcare, and FMCG Forecasting.
Demonstrated leadership abilities in Stakeholder Management, Cross-functional Collaboration, and Agile methodologies.
Proven track record in developing and deploying complex AI/ML solutions, including demand forecasting, CLV survival models, recommendation agents, WFM forecasting, NLP for sentiment analysis, patient data pipelines, and predictive risk models.
Actively transitioning into Generative AI and Agentic AI, indicating a commitment to staying current with advanced technologies.
The candidate's experience and skills are highly aligned with the target role of Data Science, particularly at a senior level.

Cultural & Operational Fit

Cultural Fit Analysis

Based on the provided assessment data, the psychometric test score is 0 out of 500. This score indicates a critical lack of cultural fit as per the formal assessment. Without further context or re-assessment, this score is a significant concern regarding logical reasoning, work attitude, stress handling, and team collaboration. This stands in stark contrast to the leadership and collaboration skills implied by the candidate's resume.

Soft Skills & Operational Fit

The resume indicates strong leadership capabilities, including leading analytics teams and managing cross-functional collaboration. Experience in a consulting environment suggests strong problem-solving and client-facing skills. The candidate's stated transition into Generative AI and Agentic AI demonstrates proactivity and adaptability. However, the psychometric test score of 0% in the provided assessment data critically contradicts these resume-based observations, indicating a severe lack of operational and cultural fit based on the formal assessment.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Extensive 9+ years of experience in AI/ML and Data Science, with a strong focus on delivering data-driven solutions.
Proficiency in a wide array of Data Science techniques including Predictive Modeling, Machine Learning (XGBoost, Random Forest), Time-Series Forecasting, and Statistical Modeling.
Strong programming skills in Python (Scikit-learn, Pandas, PySpark) and SQL, with experience in Power BI.
Hands-on experience with Cloud and MLOps platforms such as Databricks, AWS (SageMaker, S3), and Azure for model deployment.
Diverse domain expertise across Retail & Marketing, Insurance, Healthcare, and FMCG Forecasting.
Demonstrated leadership abilities in Stakeholder Management, Cross-functional Collaboration, and Agile methodologies.
Proven track record in developing and deploying complex AI/ML solutions, including demand forecasting, CLV survival models, recommendation agents, WFM forecasting, NLP for sentiment analysis, patient data pipelines, and predictive risk models.
Actively transitioning into Generative AI and Agentic AI, indicating a commitment to staying current with advanced technologies.
The candidate's experience and skills are highly aligned with the target role of Data Science, particularly at a senior level.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit