Deeksha Rajouriya

Python / SQL – CrateDB Intern

https://www.opentalent.in/deeksha-rajouriya

sager, indiaMember since September 30, 2025

Key Strengths

Strong foundational skills in Python and SQL, demonstrated through internship experience and problem-solving achievements.
Practical experience in data cleaning, analysis, and visualization using Python (Pandas, Matplotlib) and SQL.
High proficiency in data engineering and Azure data platforms, as evidenced by excellent scores in relevant technical assessments.
Background in IoT and related projects (ESP32, LoRa) aligns well with data collection and processing needs for CrateDB.
Proven problem-solving abilities through competitive programming (GeeksForGeeks, LeetCode).

Skill Analysis

Data Engineering - Azure

★★★★★

90%

Achieved a high score, demonstrating solid foundational and practical knowledge in Azure Data Engineering, Databricks, and related concepts.

AzureDatabricksDelta LakeData StreamingCloud Cost ManagementETL

Strengths

Strong understanding of Azure data engineering services.
Proficiency in Databricks and Delta Lake concepts.
Good grasp of data streaming architectures.
Awareness of cloud cost optimization.

Limitations

Minor gaps in specific advanced areas of Databricks DLT, streaming, or cost management, indicating room for deeper expertise.

Frontend Development

★★★★★

95%

Outstanding performance, indicating near-expert level knowledge and practical skills in React and TypeScript for application development.

React

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 63.6% suggests a moderate cultural fit. The candidate likely possesses acceptable levels of logical reasoning, work attitude, stress handling, and team collaboration, but there may be areas for development in these non-technical aspects. Further behavioral assessment would be beneficial.

Soft Skills & Operational Fit

The psychometric test score indicates moderate logical reasoning, work attitude, stress handling, and team collaboration. The candidate's internship experience suggests a willingness to learn and contribute in a professional setting, demonstrating an acceptable operational fit for an intern role.

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 skills in Python and SQL, demonstrated through internship experience and problem-solving achievements.
Practical experience in data cleaning, analysis, and visualization using Python (Pandas, Matplotlib) and SQL.
High proficiency in data engineering and Azure data platforms, as evidenced by excellent scores in relevant technical assessments.
Background in IoT and related projects (ESP32, LoRa) aligns well with data collection and processing needs for CrateDB.
Proven problem-solving abilities through competitive programming (GeeksForGeeks, LeetCode).

Skill Analysis

Data Engineering - Azure

★★★★★

90%

Achieved a high score, demonstrating solid foundational and practical knowledge in Azure Data Engineering, Databricks, and related concepts.

AzureDatabricksDelta LakeData StreamingCloud Cost ManagementETL

Strengths

Strong understanding of Azure data engineering services.
Proficiency in Databricks and Delta Lake concepts.
Good grasp of data streaming architectures.
Awareness of cloud cost optimization.

Limitations

Minor gaps in specific advanced areas of Databricks DLT, streaming, or cost management, indicating room for deeper expertise.

Frontend Development

★★★★★

95%

Outstanding performance, indicating near-expert level knowledge and practical skills in React and TypeScript for application development.

React

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Data Science - AI

★★★★★

88%

Very good score, reflecting a strong grasp of data science methodologies and artificial intelligence concepts.

Artificial IntelligenceMachine LearningData AnalysisStatistical ModelingPredictive Analytics

Strengths

Solid understanding of core Data Science and AI principles.
Capable of applying AI concepts to practical problems.
Good analytical skills.

Limitations

Potential for deeper expertise in specific advanced AI algorithms or complex model deployment strategies.

Data Platforms - Azure

★★★★★

100%

Perfect score, indicating complete and expert-level knowledge of Azure Data Platforms.

Azure Data PlatformCloud Data ArchitectureData StorageData ProcessingData Governance

Strengths

Exceptional mastery of Azure Data Platforms.
Comprehensive understanding of various data services and their integration.
Capable of designing and managing robust data architectures on Azure.

Limitations

No specific weaknesses identified, demonstrating complete understanding.

Deeksha Rajouriya

Key Strengths

Skill Analysis

Data Engineering - Azure

Frontend Development

Cultural & Operational Fit

Skills

Experience

Key Strengths

Skill Analysis

Data Engineering - Azure

Frontend Development

Cultural & Operational Fit

Data Science - AI

Data Platforms - Azure