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Data Analyst with less than a year in Generative AI & 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
Aspiring Data Analyst and AI/ML Engineer with a strong foundation in Python, SQL, and machine learning techniques. Passionate about analyzing data, building predictive models, and extracting actionable insights to solve real-world problems. Seeking an entry-level opportunity to apply analytical thinking, data-driven approaches, and modern AI technologies while continuously learning and contributing to impactful solutions in a dynamic environment.
Acropolis Institute of Technology & Research
B.Tech · Computer Science (Data Science)
November 1, 2022 – May 31, 2026
St. Thomas School
12th
June 1, 2022 – May 31, 2022
Generative AI Training
Trainee
July 1, 2025 – September 30, 2025
Indore, Madhya Pradesh, India
Driver Drowsiness Detection System
January 1, 2025 – June 30, 2025
Developed a real-time driver drowsiness detection system using computer vision techniques. Extracted facial features and calculated Eye Aspect Ratio (EAR) and Mouth Aspect Ratio (MAR) for fatigue detection. Implemented an alert mechanism to notify the driver upon detecting signs of drowsiness.
CureNet - AI-Based Stroke Rehabilitation Planner
January 1, 2025 – June 30, 2025
Developed a web-based application to generate personalized rehabilitation plans for stroke patients based on individual health data. Designed a rule-based system with basic machine learning concepts to adapt therapy plans dynamically. Implemented a structured interface for patient data management and progress monitoring.
Machine Learning (Supervised) Certificate
Unknown
June 1, 2026 – Present
AI & Deep Learning Workshop
Unknown
June 1, 2026 – Present
Google Advanced Data Analytics Professional Certificate
June 1, 2026 – Present
Deloitte Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a strong interest in Data Science and AI/ML, aligning well with a data-driven culture. The personal projects demonstrate initiative and a desire to apply learned skills to solve problems, which is a positive indicator for cultural fit in an innovative environment. The pursuit of multiple certifications (Google, Deloitte, ML) also highlights a commitment to continuous learning and professional development. However, the limited professional experience means exposure to diverse team dynamics and corporate cultural nuances is likely minimal.
Soft Skills & Operational Fit
The candidate's project descriptions and certifications suggest a proactive and self-driven individual. The 'CureNet' project indicates an ability to work on structured applications and manage data, while the 'Driver Drowsiness Detection System' shows problem-solving skills using computer vision. The candidate is currently pursuing a B.Tech in Computer Science (Data Science), indicating a strong academic foundation relevant to the target role. However, the lack of professional experience beyond a short trainee role means operational fit in a corporate environment is largely unproven.