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Data Science with less than a year in Machine Learning & Data Analysis
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a data science enthusiast pursuing my Master's, I am eager to start a career applying my skills in data analysis, machine learning, and statistical modeling. My studies have provided strong technical skills in data preprocessing, algorithm development, and data visualization
Kristu Jayanti College
Msc.Data Science
August 1, 2025 – August 1, 2026
Bhavan's Vivekananda College
B.Sc.(Hons) in Data Science · Data Science
July 1, 2021 – March 1, 2024
Sri Gayatri Junior College
Intermediate
June 1, 2019 – June 1, 2021
D.A.V Public School
CBSE
March 1, 2018 – May 1, 2019
ApexIQ.AI
Python Developer Intern
June 1, 2025 – July 1, 2025
Bengaluru, Karnataka, India
Bharat Intern
Data Science Intern
November 1, 2023 – December 1, 2023
Indore, Madhya Pradesh, India
BREAST CANCER ANALYSIS
January 1, 2025 – June 1, 2025
Developed a predictive model to detect breast cancer using patient data. Applied data preprocessing, feature selection, and machine learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost) to achieve high accuracy and support early diagnosis and treatment decisions. XGBoost is the best-performing model with an accuracy of 97.00%, indicating it can reliably predict startup bankruptcy with minimal errors.
UBER FARE PREDICTION
August 1, 2023 – January 1, 2024
Developed a predictive model to estimate Uber fares using multiple regression algorithms and evaluated the performance for optimal accuracy. Utilized Kaggle's Uber Fare Dataset and applied models such as Linear Regression, Ridge, Random Forest, Bagging, Decision Tree, SVR, AdaBoost, Gradient Boosting, and XGBoost. Lasso Regression delivered the best results with an R2 score of 0.55. Perform data preprocessing and visualization to analyze the im- portance of the feature and the behavior of the model. Tools: Python (Pandas, Scikit-Learn, Matplotlib, Seaborn), Jupyter Notebook, Google Colab.
Fundamentals of Cloud Computing
Azure
June 1, 2026 – Present
Data Science and Machine Learning
UNP
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest and foundational skill set in data science and machine learning, which aligns well with a data-driven culture. The diversity of projects (breast cancer analysis, Uber fare prediction, food demand forecasting, language translation) shows a broad application of data science techniques. The pursuit of a Master's degree and certifications indicates a commitment to continuous learning and professional development. The listed soft skills (teamwork, collaboration) suggest a good fit for collaborative work environments.
Soft Skills & Operational Fit
The candidate lists communication, teamwork and collaboration, flexibility, and adaptability as soft skills. The project and internship descriptions indicate an ability to collaborate with cross-functional teams and present findings to stakeholders, which aligns with operational needs for a Data Analyst role. The focus on improving efficiency and accuracy in projects suggests a results-oriented approach.