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Data Science with less than a year in Machine Learning and Data Analysis
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 Data Scientist and Computer Engineering graduate with hands-on experience in Python, Machine Learning, and Data Analysis. Proficient in building and evaluating supervised learning models using Scikit-learn, TensorFlow, NumPy, and Pandas. Experienced in data preprocessing, exploratory data analysis (EDA), feature engineering, statistical analysis, and model optimization. Familiar with SQL, MySQL, C++, Git, Power BI, and AI tools such as ChatGPT and GitHub Copilot. Passionate about applying data science and machine learning techniques to solve real-world problems and drive data-driven decision-making.
Samarth College of Engineering & Management, Pune (SPPU)
B.E. · Computer Engineering
August 1, 2021 – June 30, 2025
Subhash Vidya Mandir Jr. College, Pimpalwandi, Maharashtra
HSC · Science
June 1, 2019 – May 31, 2021
Futurlysis Pvt. Ltd.
Data Analyst Intern
November 1, 2025 – May 1, 2026
India
MIRA - Medical Intelligence Robotic Automation
January 1, 2026 – June 1, 2026
Built an AI-powered health prediction web application using Python Flask, SQLite, and Google Gemini 2.0 Flash API. Implemented full CRUD operations for patient record management with validation for email, date of birth, and numeric fields. Integrated Google Gemini AI to auto-generate health assessments from blood test results with fallback mode for offline use. Developed a responsive frontend using HTML and Bootstrap 5; deployed the app to Render.com with live demo functionality.
Customer Segmentation using K-Nearest Neighbors (KNN)
January 1, 2026 – June 1, 2026
Developed a customer segmentation model using KNN algorithm to classify customers based on purchasing behavior. Performed data preprocessing: handled missing values, encoded categorical variables, and applied feature scaling. Conducted EDA to uncover patterns and trends in customer data. Implemented KNN using Scikit-learn; optimized model performance by tuning the K hyperparameter. Evaluated model using accuracy metrics and confusion matrix.
Bank Loan Approval Prediction
January 1, 2026 – June 1, 2026
Built a machine learning model to predict bank loan approval using financial data. Implemented Logistic Regression and Decision Tree algorithms using Scikit-learn. Performed feature selection and correlation analysis to improve model accuracy. Evaluated model performance using classification metrics: accuracy, precision, recall, and F1-score.
Data Analyst Intern Certificate
Futurlysis Pvt. Ltd.
June 1, 2026 – Present
Data Analytics Certification
Jobaaj
June 1, 2026 – Present
Data Analytics Certification
TwoDimension
June 1, 2026 – Present
Python for Beginners
SoloLearn
March 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a strong interest in applying data science and machine learning techniques to solve real-world problems, which aligns with a data-driven culture. The diversity of projects (health prediction, loan approval, customer segmentation, inventory analysis) indicates a broad interest in different domains. However, the experience is primarily academic and internship-based, which might require additional mentorship for a senior role in a fast-paced industry environment.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, communication, and team collaboration as soft skills. The project descriptions and internship experience suggest an ability to work on defined tasks and contribute to data-driven decision-making. However, without direct assessment, the depth of these soft skills and their operational fit in a senior role cannot be fully determined.