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AI Engineer with 1+ years in Product Analytics & Data Pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & Data-focused developer with experience building AI-enabled systems, analytics workflows, and scalable data pipelines. Strong in product analytics, debugging workflows, and ML-based decision systems using Python, FastAPI, and data-driven approaches.
Vivekanand Education Society's Institute of Technology (VESIT)
B.E. · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Workik
Technical Product Analyst Intern
April 1, 2026 – Present
India
Analytica Soft Tech
Full Stack + AI Developer Intern
January 1, 2026 – April 1, 2026
India
Ozibook
Data Analyst Intern
June 1, 2025 – September 1, 2025
India
KEWI Solutionary LLP
Flutter Developer Intern
November 1, 2024 – January 1, 2025
India
DoctorReach AI
June 18, 2026 – Present
Built an ML model predicting doctor attendance using behavioral data. Engineered features and trained Random Forest (95% accuracy) to identify key predictors.
View ProjectYouTube Trends Analysis
June 18, 2026 – Present
Processed 52K+ records across 20+ datasets using Pandas to derive engagement metrics. Performed EDA and time-series analysis using Matplotlib/Seaborn to identify trends.
View ProjectRAG vs Retrieval Methods for Automated Medical Coding
3rd International Conference on Technologies for Energy, Agriculture and Healthcare
January 1, 2026 – Present
The candidate scored 71% on the 'Data Scientist — Artificial Intelligence' test, indicating a solid but not expert-level understanding of the core concepts and skills evaluated.
Strengths
Limitations
Cultural Fit Analysis
The candidate's diverse internship experiences across product analysis, full-stack AI development, data analysis, and Flutter development demonstrate adaptability and a broad interest in different technical domains. Involvement in academic projects and a publication indicates a proactive and learning-oriented mindset. The blend of AI/ML, data, and full-stack skills aligns well with the multifaceted nature of an AI Engineer role, suggesting a good cultural fit for a dynamic and innovative environment.
Soft Skills & Operational Fit
The candidate's experience as a Technical Product Analyst Intern suggests an ability to analyze user behavior, identify system issues, perform product testing, and build dashboards, indicating strong analytical and problem-solving skills, attention to detail, and a user-centric approach. Collaboration with business teams and documentation skills are also evident.