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AI Engineer with less than a year in Python & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A results-driven AI & Data Science Engineering student with a strong foundation in Python, Machine Learning, and Data Analytics. Eager to leverage technical expertise and leadership skills to drive business growth and operational efficiency in your company.
Datta Meghe College of Engineering, Airoli
B.E IN ARTIFICIAL INTELLIGENCE AND DATA SCIENCE ENGINEERING · Artificial Intelligence and Data Science Engineering
August 1, 2022 – June 30, 2026
K.P.C. Junior College of Khargar
HSC
N/A – May 31, 2022
M.G.M. High School, Nerul
SSC
N/A – May 31, 2020
FarmFusion
January 1, 2026 – June 1, 2026
Developed an ML-based smart farming system for crop recommendation and yield prediction using Python and FastAPI.
Chatbot
January 1, 2026 – June 1, 2026
Developed a secure Python-based conversational chatbot to efficiently handle user queries with a focus on implementation, testing, and user interaction design.
RaysMedico: Medical Report Analysis
January 1, 2026 – June 1, 2026
Developed an ML-based healthcare website for cancer, heart and Parkinson's disease prediction and medical report analysis using Flask.
Data analyst
Q-spiders
June 1, 2026 – Present
Data Analytics and Visualization Job Simulation – worked on real business datasets, created dashboards
Accenture
June 1, 2026 – Present
Microsoft Power BI Workshop - data visualization
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to applying learned skills. The diversity of projects (farming, healthcare, chatbots) indicates a broad interest in AI applications. Participation in extra-curricular activities suggests a collaborative and adaptable mindset. The target role of 'AI Engineer' aligns well with the candidate's educational background and project experience, indicating a good cultural fit for a technically driven environment.
Soft Skills & Operational Fit
The candidate lists soft skills such as team collaboration, communication, problem-solving, leadership, and adaptability. Project descriptions indicate an understanding of implementation, testing, and user interaction design. Extra-curricular activities suggest leadership and teamwork capabilities, which are positive indicators for operational fit.