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Data Science with 1+ years in AI, ML, and cybersecurity.
Computer Science graduate and aspiring Data Scientist with a strong foundation in Artificial Intelligence, Machine Learning, and Deep Learning. Proficient in Python, Java, and C#, with a specialized interest in Ethical Hacking and Full-Stack Web Development. Highly skilled in Kali Linux and Parrot OS, alongside core web technologies like HTML, CSS, and JavaScript. Experienced in leveraging data management tools including Excel, MySQL, MongoDB, and T-SQL, with technical expertise in using Selenium for automated web scraping. a fast learner with a proactive approach to identifying system vulnerabilities, seeking to contribute to a forward-thinking tech team.
Pune Vidyarthi Griha College of Science and Technology Mumbai
Bachelor's · Computer Science
N/A – June 30, 2025
ELECTRICITY BILLING SYSTEM
May 1, 2025 – June 1, 2026
Backend: Designed a robust database schema in MySQL to handle secure payment and customer data. Frontend: Developed an interactive GUI using Java and JavaScript within the NetBeans environment. Integration: Managed system libraries and JAR files to facilitate stable connections between the application and the database server. Automation: Successfully automated the calculation of monthly units and bill generation based on pre-defined tariff rates. Database Security : Conducted a vulnerability assessment to identify potential SQL Injection risks; implemented Prepared Statements in Java to ensure secure database communication and data integrity. Managed complex datasets including billing records and user credentials using a MySQL database.
LOAN APPROVAL PREDICTION
May 1, 2025 – June 1, 2026
Developed an end-to-end machine learning pipeline to automate the loan eligibility process. By analyzing historical customer data. The goal of this project is to build a predictive model that can determine whether a loan application should be approved or rejected. Missing Value Imputation using fillna, done some features encoding & outlier management. Used libraries like Seaborn and Matplotlib to visualise dat. Implemented multiple classification models, such as Logistic Regression, Random Forest, or Support Vector Machines (SVM). Calculated key metrics including Accuracy, Precision, Recall & f1_score.
CUSTOMER CHURN ANALYSIS
May 1, 2025 – June 1, 2026
Utilized Python (Pandas/NumPy) to clean "dirty" data, handle missing values, and engineer features like "Average Monthly Spend." Built and tuned a predictive model using Python (Scikit-Learn) to identify high-risk customers with 85% precision. Designed a Tableau dashboard to translate complex model. Developed a Python script to automate the end-to-end data pipeline. Use html, css, react.js for devlop the website connected to MySQL.
Certified Ethical Hacking -
LEARNVERN
June 1, 2026 – Present
Practical Cisco Networking Labs in Cisco Packet Tracer-
UDEMY
June 1, 2026 – Present
AI & ML learning with drone tech offered by Tihan IIT Hyderabad -
IIT HYDERABAD
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse interests in hacking, AI/ML, and autonomous systems, coupled with academic projects across data science, web development, and cybersecurity, suggest a broad intellectual curiosity and a willingness to explore different technical domains. This breadth could be beneficial for a team that values cross-functional understanding and continuous learning. The academic nature of projects and lack of professional experience mean cultural fit for a senior role is primarily based on potential and demonstrated learning agility.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude and interest in diverse technical areas, which could contribute positively to a dynamic team environment. The project descriptions indicate an ability to work through end-to-end solutions, from data cleaning to model deployment and visualization. However, without specific work experience, the operational fit in a senior role is unproven.