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Data Science with less than a year in Machine Learning & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist skilled in Machine Learning, Deep Learning, Data Analytics, Computer Vision, and NLP. Proficient in Python, SQL, Tableau, TensorFlow, Scikit-learn, and OpenCV, with experience in predictive modeling, EDA, and end-to-end AI solutions. NASSCOM Data Science Gold Certified and ranked among the Top 7% on Kaggle.
CMR COLLEGE OF ENGINEERING AND TECHNOLOGY
B.Tech · Computer Science Engineering
August 1, 2022 – June 30, 2026
Plasmid (MSME Registered)
Web Development Intern
November 1, 2025 – January 31, 2026
India
LOAN ELIGIBILITY STATUS PREDICTION
June 1, 2026 – Present
Built A Machine Learning Classification Model To Predict Loan Approval Status Using Applicant Demographics, Income, Credit History, Loan Amount, And Property Details. ALGORITHMS : Logistic Regression, Knn, Svm, Decision Tree, Random Forest, Adaboost, Gradient Boosting, Xgboost
HOUSE PRICE PREDICTION
June 1, 2026 – Present
Developed A Machine Learning Regression Model To Predict House Prices Using Property Features And Compared Multiple Algorithms To Achieve The Best Performance. ALGORITHMS : Linear Regression, Polynomial Regression, Lasso Regression, Ridge Regression, Elastic Net, Random Forest Regressor
GINGIVITIS DETECTION USING DEEP LEARNING
June 1, 2026 – Present
Developed A Deep Learning Model Using Efficientnet-B1 To Classify Oral Images As Healthy Or Gingivitis And Deployed It Through A Flask Web Application. ALGORITHMS : Efficientnet-B1, Transfer Learning, Convolutional Neural Networks (Cnn), Binary Classification, Fine-Tuning
MUTUAL FUND ANALYSIS DASHBOARD
June 1, 2026 – Present
Created An Interactive Power Bi Dashboard To Analyze Mutual Fund Performance, Rank Funds, And Provide Investment Insights Using Python And Data Visualization Techniques. Algorithms / Techniques : Data Normalization, Fund Ranking, Statistical Analysis
GenAI Powered Data Analytics Job Simulation Certificate
Unknown
June 1, 2026 – Present
Certified in Full Stack Data Science & AI Program
NASSCOM Aligned
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in Data Science, aligning well with a target role in this field. The diversity of projects (banking, real estate, healthcare, finance) indicates adaptability and a broad interest in applying data science across different domains. The certifications further validate a commitment to continuous learning and skill development in AI and Data Science. However, the lack of professional experience beyond a short internship suggests a need for mentorship and integration into a professional team environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving abilities and a structured approach to data analysis. The academic nature of projects suggests a strong learning aptitude and ability to apply theoretical knowledge. However, there is limited information on collaboration, leadership, or real-world operational experience beyond academic settings.