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Machine Learning Engineer with less than a year in Machine Learning, Python, and Data Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and results-driven postgraduate student pursuing MCA, with a strong foundation in Machine Learning, Python programming, and data visualization using Power BI. Experienced in developing data-driven solutions, building predictive models, and creating insightful dashboards to support decision-making. Passionate about leveraging analytical tools and ML algorithms to solve real-world problems and enhance business outcomes. Adept at working in collaborative environments with a focus on continuous learning and innovation.
Indira College of Engineering & Management
MCA
August 1, 2024 – Present
Vaidhynath College
BCA
August 1, 2021 – June 30, 2024
ST Junior College
12th
June 1, 2019 – May 31, 2021
Saraswati Vidyalaya
10th
June 1, 2018 – May 31, 2019
Research & Paper Presentation on Data Mining Techniques using the Orange Tool
June 30, 2026 – Present
Conducted research on data mining techniques using the Orange Tool.
Medicine Recommendation System
June 30, 2026 – Present
Technologies: Python, Machine Learning, HTML-CSS, Jupyter Notebook, VS Code
Healthcare Chatbot for Symptoms Prediction
June 30, 2026 – Present
Technologies: Machine Learning, Python, VS Code
Power BI Certification
Unknown
June 1, 2026 – Present
Software Testing Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in applying technology to real-world problems (healthcare, recommendations). The objective statement emphasizes continuous learning and innovation, which aligns with a dynamic technical environment. However, the lack of professional experience and diverse project types (all academic) limits the depth of assessment for cultural fit. The certifications in Power BI and Software Testing indicate a breadth of interest beyond core ML, which could be beneficial for cross-functional understanding.
Soft Skills & Operational Fit
The candidate's objective statement highlights being 'detail-oriented and results-driven,' 'adept at working in collaborative environments,' and having a 'focus on continuous learning and innovation.' These indicate a positive work attitude and potential for team collaboration. However, without psychometric test results or professional experience, these are self-reported and unvalidated.