AI Engineer with less than a year in Data Analysis & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with hands-on experience in data cleaning, KPI definition, dashboarding, and data quality assurance. Proficient in SQL, Excel, Power BI, Python, and Tableau for managing large datasets, ensuring data accuracy, and translating business requirements into actionable insights. Experienced in building and deploying machine learning models, NLP pipelines, and full-stack data applications from concept to production.
Ahmedabad Institute of Technology
Bachelor of Technology · Computer Science & Engineering
October 1, 2022 – May 1, 2026
New Meghdoot Vidhya Vihar
Higher Secondary · Science
June 1, 2020 – April 1, 2022
FICE — Elevate Program
Data Scientist
January 1, 2026 – May 1, 2026
India
CSRBOX — IBM
Data Analyst
July 1, 2025 – August 1, 2025
India
Streamlytics — Hybrid Content-Based Recommendation & Sentiment Analytics Engine
January 1, 2026 – Present
Architected an intelligent content recommendation and sentiment analytics platform combining collaborative filtering, content-based algorithms, and advanced NLP for personalized suggestions Spearheaded full project lifecycle: data analysis → filtering → cleaning → visualization → model development → backend integration → frontend development → API integration → deployment Achieved strong prediction accuracy on recommendation models with validated real-time user sentiment analysis Deployed the production application on Render with a fully integrated frontend-backend architecture
Healthcare Dashboard
August 1, 2025 – Present
Synthesized complex healthcare datasets into interactive Tableau executive dashboards, translating raw patient metrics into high-level strategic KPIs for rapid stakeholder decision-making. Optimized data analysis and multi-layer visualization to enable stakeholders to make data-driven decisions quickly
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in AI/ML applications, particularly in recommendation systems and NLP, which aligns well with an AI Engineer role. The academic projects and short-term experiences indicate a foundational understanding and eagerness to apply learned skills. The breadth of technical skills (Python, ML, Web Dev, DevOps) suggests adaptability and a willingness to explore different areas within tech.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to spearhead full project lifecycles and translate complex data into actionable insights, suggesting strong problem-solving and communication skills. Experience with collaborative filtering and content-based algorithms implies an analytical and structured approach to problem-solving. The academic background and project work suggest a proactive learning attitude.