Sakshi Nitin Kothule

Lead MERN Engineer

https://www.opentalent.in/sakshi-nitin-kothule

Pune University (SPPU)

Key Strengths

Strong academic record (CGPA 9.0) in Information Technology with Honors in AI & ML.
Demonstrated practical experience through AI/ML projects (Student Attendance Automation, SecureMe, SHL Recommendation Engine, Financial Analyzer).
Proficiency in core programming languages (Java, Python, SQL) and fundamental CS concepts (Data Structures & Algorithms, OOP).
Basic web development skills acquired through an internship (HTML, CSS, JavaScript, Bootstrap).
Active participation in hackathons and technical competitions, indicating proactive engagement and problem-solving interest.
The candidate's profile is for an entry-level AI/ML or general software engineer, not a 'Lead MERN Engineer' due to lack of experience and specific MERN stack expertise.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's participation in hackathons and technical competitions suggests a proactive and collaborative spirit. However, a formal assessment of cultural fit is not possible as the psychometric test score is 0, indicating insufficient data.

Soft Skills & Operational Fit

The resume highlights analytical thinking, clean coding practices, and quick learning ability. However, objective assessment of work attitude, stress handling, and team collaboration is not possible as the psychometric test score is 0, indicating insufficient data.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Skills

PHPAPI IntegrationAngularJSJavaMERN StackPyTorchLinuxProgrammingiOSNode.jsReact.jsData WarehousingAutomation TestingFigmaBackendLead GenerationNosqlData InterpretationAutomationProblem SolvingPythonMachine LearningGit-GitHubSQLFront-endSoftware DevelopersData PreprocessingAI EngineersRest ApiMongoDBJavaScriptMysqlHTMLFull-stackTableauAI EngineerAI/ML FrameworksData scienceSQL ServerOracleAi FrameworksProject Management

Key Strengths

Strong academic record (CGPA 9.0) in Information Technology with Honors in AI & ML.
Demonstrated practical experience through AI/ML projects (Student Attendance Automation, SecureMe, SHL Recommendation Engine, Financial Analyzer).
Proficiency in core programming languages (Java, Python, SQL) and fundamental CS concepts (Data Structures & Algorithms, OOP).
Basic web development skills acquired through an internship (HTML, CSS, JavaScript, Bootstrap).
Active participation in hackathons and technical competitions, indicating proactive engagement and problem-solving interest.
The candidate's profile is for an entry-level AI/ML or general software engineer, not a 'Lead MERN Engineer' due to lack of experience and specific MERN stack expertise.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Sakshi Nitin Kothule

Key Strengths

Cultural & Operational Fit

About

Skills

Education

Key Strengths

Cultural & Operational Fit