Profile URL

https://talent.gravityer.com/sakshi-parate

Sakshi Parate

Pune, Maharashtra, India

Since March 15, 2026

Skills

Big Data ArchitectsPyTorchGCPData WarehousingSmall Business OperationsNosqlData ModelingBigQueryData InterpretationPythonSolidWorks DevelopersMachine LearningAI EngineersPostmanDocker / KubernetesReinforcement Learning,LLMOps & InfrastructureLLM applicationsAI EngineerAI/ML FrameworksRAG (Retrieval-Augmented Gener ation)

Experience

GAVS Technologies Pvt. Ltd (Neurealm)

Data Analyst

September 1, 2022 – April 1, 2023

Chennai, India

Key Strengths

Strong background in ML/DL model development and deployment, including FastAPI for microservices.
Demonstrated expertise in Data Science, AI, and Data Engineering principles with high assessment scores.
Experience with predictive analytics pipelines, feature engineering, and explainable AI techniques.
Proficiency in business intelligence and data visualization using Power BI.
Resume indicates experience with Python and SQL, although Python proficiency is contradicted by test results.

Skill Analysis

Data Scientist — Artificial Intelligence

★★★★★

94%

Achieved a high score, indicating strong proficiency in Data Science and Artificial Intelligence concepts and applications.

data scientistMachine LearningDeep LearningPredictive AnalyticsModel OptimizationAI/ML Algorithms

Strengths

Demonstrated strong theoretical and practical understanding of AI/ML concepts.
Excellent grasp of data science principles and methodologies.

Limitations

No specific weaknesses identified from this high score.

Data Engineer — Data Platforms

★★★★★

100%

Achieved a perfect score, indicating expert-level knowledge in Data Engineering and Data Platforms.

data engineeringData Pipelines

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 51% indicates potential areas for improvement in aspects such as logical reasoning, work attitude, stress handling, or team collaboration. While the candidate's resume mentions collaboration in Agile SDLC environments and a role as a training batch representative, these positive indicators are not fully supported by the psychometric assessment. Further evaluation would be necessary to determine a comprehensive cultural fit.

Soft Skills & Operational Fit

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 background in ML/DL model development and deployment, including FastAPI for microservices.
Demonstrated expertise in Data Science, AI, and Data Engineering principles with high assessment scores.
Experience with predictive analytics pipelines, feature engineering, and explainable AI techniques.
Proficiency in business intelligence and data visualization using Power BI.
Resume indicates experience with Python and SQL, although Python proficiency is contradicted by test results.

Skill Analysis

Data Scientist — Artificial Intelligence

★★★★★

94%

Achieved a high score, indicating strong proficiency in Data Science and Artificial Intelligence concepts and applications.

data scientistMachine LearningDeep LearningPredictive AnalyticsModel OptimizationAI/ML Algorithms

Strengths

Demonstrated strong theoretical and practical understanding of AI/ML concepts.
Excellent grasp of data science principles and methodologies.

Limitations

No specific weaknesses identified from this high score.

Data Engineer — Data Platforms

★★★★★

100%

Achieved a perfect score, indicating expert-level knowledge in Data Engineering and Data Platforms.

data engineeringData Pipelines

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Python Programming

★★★★★

12%

The extremely low score indicates a critical lack of foundational and practical Python programming skills, which is a major concern for a Python-centric role.

algorithmsPython 3.xData Analysis with PythonUnit-TestingStreaming-DataCore Python

Strengths

Insufficient data to identify specific strengths given the critically low score.

Limitations

Significant gaps in fundamental Python programming concepts and syntax.
Weakness in algorithmic problem-solving using Python.
Limited proficiency in data analysis with Python libraries.
Potential lack of understanding in unit testing and streaming data concepts.

Sakshi Parate

Skills

Experience

Key Strengths

Skill Analysis

Data Scientist — Artificial Intelligence

Data Engineer — Data Platforms

Cultural & Operational Fit

Key Strengths

Skill Analysis

Data Scientist — Artificial Intelligence

Data Engineer — Data Platforms

Cultural & Operational Fit

Application Developer — Microsoft Analytics (Power BI)

Python Programming