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AI Engineer with 3+ years in AI, Machine Learning & 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
Experienced Data Science professional with 3.3 years in developing Generative AI solutions and building robust data pipelines. Proficient in Python, SQL, and various ML/DL frameworks, with a strong background in data preprocessing, model optimization, and visualization using Power BI. Proven ability to improve data integrity, reduce retrieval times, and achieve high prediction accuracy in data-driven projects.
Shree Siddheshwar Women's College Of Engineering
B.Tech · Computer Science (Artificial Intelligence & Data Science)
August 1, 2022 – June 30, 2025
Shri Siddheshwar Women's Polytechnic College
Diploma · Computer Engineering
August 1, 2019 – October 1, 2022
Think Quotient Software Private Limited
Full Time
August 1, 2019 – October 1, 2022
India
MedBlock
June 1, 2026 – Present
Developed a secure, cloud-based blockchain application for real time patient health record management, reducing data retrieval times by 30%. Addressed data fragmentation and security issues in healthcare, improving patient data integrity by 40%.
Employee Attrition Prediction
June 1, 2026 – Present
Built a Machine Learning model to predict employee turnover using historical data, achieving a prediction accuracy of 85%. Conducted data preprocessing, EDA, and model optimization, reducing analysis time by 25%.
Academy Cloud Foundation
AWS
June 1, 2026 – Present
Data Analysis and Data Visualization Course
Accenture
June 1, 2026 – Present
Machine Learning Course
Coursera
June 1, 2026 – Present
Deep Learning
Andrew Ng
June 1, 2026 – Present
Statistical Analysis
Stanford
June 1, 2026 – Present
Data Visualization with python
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in diverse applications of AI, from healthcare data management to HR analytics, indicating adaptability. The listed certifications from various reputable institutions (Coursera, Stanford, AWS, IBM) suggest a proactive approach to learning and skill development, which aligns well with a culture of continuous improvement. The focus on AI/ML and data science aligns directly with an AI Engineer role.
Soft Skills & Operational Fit
The candidate lists 'Analytical and Problem-solving', 'Teamwork', 'Leadership', and 'Initiative' as soft skills. The project descriptions indicate an ability to identify problems (data fragmentation, employee turnover) and develop solutions, suggesting a problem-solving mindset. The experience in building data pipelines and optimizing models points to an operational fit for roles requiring structured development and improvement processes.