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Data Scientist with 1+ years in Data Analytics, Machine Learning & Web Applications
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated MCA fresher with a strong foundation in Python, Machine Learning, and Data Analytics. Proficient in building ML-based web applications and predictive models using Scikit-learn, Flask, Pandas, and Power BI. Eager to contribute technical and analytical skills in an entry-level role in Data Analytics, Full Stack Development, or Desktop Support.
University BDT College of Engineering
Master of Computer Applications (MCA) · Computer Applications
August 1, 2023 – June 30, 2025
Bapuji Institute of Hi-Tech Education
Bachelor of Computer Applications (BCA) · Computer Applications
August 1, 2020 – June 30, 2023
Siddaganga Independent PU College
PUC (Science) · Science
June 1, 2018 – May 31, 2020
Sirintel Technology
Intern
January 1, 2025 – June 1, 2026
India
Fake URL Detection & Blocking System
January 1, 2025 – January 1, 2025
Developed an ML-based web application to identify and block malicious/phishing URLs in real time. Implemented classification algorithms (Random Forest, SVM) to distinguish phishing sites from legitimate ones with high accuracy. Integrated a Flask backend with SQL storage to log flagged URLs and provide instant user feedback on link safety.
Maternal Health Risk Analysis
January 1, 2025 – January 1, 2025
Built a predictive model to assess maternal health risk levels from patient data, supporting early intervention decisions. Performed data preprocessing, feature engineering, and model evaluation using Scikit-learn. Applied data-driven insights to improve risk classification accuracy, demonstrating impact on healthcare decision support.
State Level Seminar on Artificial Intelligence in Healthcare
Bapuji Commerce College
June 1, 2026 – Present
UNXT by Unnati - Soft Skill Development Foundation Program
SGBS Unnati Foundation at University BDT College of Engineering
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a practical approach to problem-solving using ML. The 'Fake URL Detection' project shows an interest in security applications, while 'Maternal Health Risk Analysis' highlights an interest in healthcare, indicating a diverse application interest. The internship in IT operations, while not directly data science, shows a willingness to learn and contribute in different technical capacities. The target role 'Data Scientist' aligns well with the project experience, but the candidate also expresses openness to 'Full Stack Development' or 'Desktop Support', which might indicate a broader, less focused career path at this stage. The participation in soft skill development programs suggests a proactive approach to personal and professional growth.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, team collaboration, adaptability, and time management as soft skills. Project descriptions suggest an ability to work through technical challenges and integrate different components. The internship in desktop support and IT operations indicates a foundational understanding of operational environments, though not directly related to data science.