Profile URL

https://talent.gravityer.com/aneesha-tiwari

aneesha tiwari

Gwalior, Madhya Pradesh, India

Since April 13, 2026

About

Thank you for giving me this opportunity to introduce myself. My name is Aneesha Tiwari and i'm currently pursuing (8th sem.) a b.tech at Madhav institute of technology and science ,gwalior , M.P. And i have done my research internship at IIIT Naya Raipur, Chhsttisgarh. i'm passionate to continue learning.

Skills

PyTorchProgrammingHTML5Git-GitHubSQLFront-endTensorFlowMongoDBJavaScriptMysqlCSSanalysisPandas, NumPyReinforcement Learning,Embedded SystemsGitPandasHtml CssXgboostJavascript TypescriptProject ManagementMachine Learning ArchitectureAi Ml Frameworks

Key Strengths

Resume indicates exposure to core frontend technologies (HTML, CSS, JavaScript, Bootstrap).
Familiarity with version control systems like Git and GitHub.
Experience with IoT-related projects and basic machine learning concepts, which could offer a unique perspective in specific frontend roles (e.g., IoT dashboards), though not directly assessed.
The candidate is currently pursuing a B.Tech degree, indicating a foundational academic background in technology.

Skill Analysis

English Language Proficiency

★★★★★

46%

The candidate scored 46/100, indicating a foundational but insufficient grasp of English language skills required for professional communication.

Communication ClarityGrammarProfessional Language UsageWritten Communication

Strengths

Demonstrated some foundational understanding of English language.

Limitations

Significant deficiencies in communication clarity.
Frequent grammatical errors observed.
Inconsistent professional language usage.

Psychometric Aptitude

★★★★★

The candidate scored 0/500, indicating a complete lack of demonstrated aptitude across all evaluated psychometric dimensions.

Logical ReasoningWork AttitudeStress HandlingTeam Collaboration

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 provides no evidence of cultural fit, including aspects like work attitude, stress handling, or team collaboration. Therefore, cultural fit cannot be assessed based on the provided data.

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

Resume indicates exposure to core frontend technologies (HTML, CSS, JavaScript, Bootstrap).
Familiarity with version control systems like Git and GitHub.
Experience with IoT-related projects and basic machine learning concepts, which could offer a unique perspective in specific frontend roles (e.g., IoT dashboards), though not directly assessed.
The candidate is currently pursuing a B.Tech degree, indicating a foundational academic background in technology.

Skill Analysis

English Language Proficiency

★★★★★

46%

The candidate scored 46/100, indicating a foundational but insufficient grasp of English language skills required for professional communication.

Communication ClarityGrammarProfessional Language UsageWritten Communication

Strengths

Demonstrated some foundational understanding of English language.

Limitations

Significant deficiencies in communication clarity.
Frequent grammatical errors observed.
Inconsistent professional language usage.

Psychometric Aptitude

★★★★★

The candidate scored 0/500, indicating a complete lack of demonstrated aptitude across all evaluated psychometric dimensions.

Logical ReasoningWork AttitudeStress HandlingTeam Collaboration

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

General Technical Proficiency

★★★★★

The candidate scored 0/100, indicating a complete lack of demonstrated technical proficiency in problem-solving, coding logic, and practical implementation.

Problem SolvingCoding LogicTechnical AccuracyPractical ImplementationFrontend Development (General)

Strengths

Insufficient data to identify specific strengths.

Limitations

No demonstrated ability in problem-solving.
No demonstrated coding logic.
Lack of technical accuracy.
Inability to practically implement technical solutions.