Ankit Kumar singh

Data Analyst

Bokaro, Jharkhand, India

Since April 27, 2026

Skills

Full-stackWeb Developers

Key Strengths

Strong academic background with a B.Tech in Computer Science and Engineering (CGPA 8.0).
Two internships, including one at Max Planck Institute for Psycholinguistics (ASR Research Intern) and another at IIIT Naya Raipur (ML & Deep Learning Intern), demonstrating practical experience in AI/ML.
Published an IEEE-supported preprint on 'Voice Gender Classification Using Deep Learning Techniques'.
Hands-on experience in full-stack AI system development, including projects like CareerLens AI (LLM-based resume tailoring, job-scout agent) and MERN stack applications (Hostel Management, Complaint System).
Proficient in a wide range of technical skills: Python, JavaScript, TypeScript, React, Node.js, FastAPI, MongoDB, PostgreSQL, Supabase, and ML/NLP libraries (NumPy, Pandas, scikit-learn, spaCy, Librosa, HuggingFace).
Experience with database management systems, data structures & algorithms, and machine learning concepts.
However, there is a significant mismatch between the candidate's stated career goal (SDE / ML Engineering) and the target role (Data Analyst). While the candidate possesses strong technical skills, their experience is more geared towards ML model development, full-stack application engineering, and AI system building rather than core data analysis, reporting, or business intelligence.

Cultural & Operational Fit

Cultural Fit Analysis

Data is insufficient to assess cultural fit. The Psychometric test score is 0/500, which evaluates aspects like work attitude, stress handling, and team collaboration, indicating a complete lack of assessed performance in these areas.

Soft Skills & Operational Fit

Data is insufficient to assess soft skills and operational fit. The English test score is 0/100, and the Psychometric test score is 0/500, indicating a complete lack of assessed performance in communication clarity, grammar, professional language usage, logical reasoning, work attitude, stress handling, and team collaboration.

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 academic background with a B.Tech in Computer Science and Engineering (CGPA 8.0).
Two internships, including one at Max Planck Institute for Psycholinguistics (ASR Research Intern) and another at IIIT Naya Raipur (ML & Deep Learning Intern), demonstrating practical experience in AI/ML.
Published an IEEE-supported preprint on 'Voice Gender Classification Using Deep Learning Techniques'.
Hands-on experience in full-stack AI system development, including projects like CareerLens AI (LLM-based resume tailoring, job-scout agent) and MERN stack applications (Hostel Management, Complaint System).
Proficient in a wide range of technical skills: Python, JavaScript, TypeScript, React, Node.js, FastAPI, MongoDB, PostgreSQL, Supabase, and ML/NLP libraries (NumPy, Pandas, scikit-learn, spaCy, Librosa, HuggingFace).
Experience with database management systems, data structures & algorithms, and machine learning concepts.
However, there is a significant mismatch between the candidate's stated career goal (SDE / ML Engineering) and the target role (Data Analyst). While the candidate possesses strong technical skills, their experience is more geared towards ML model development, full-stack application engineering, and AI system building rather than core data analysis, reporting, or business intelligence.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit