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AI Engineer with 2+ years in Data Science & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated engineering student specializing in Data Science and Machine Learning with a strong foundation in Python, SQL, and various analytical tools. Proven ability to build and deploy robust models for complex problems like deep learning for medical image analysis, fraud detection, and business intelligence, coupled with expertise in data manipulation, visualization, and reporting.
Nitte Meenakshi Institute of Technology, Bangalore
B.E.
August 1, 2022 – June 30, 2026
Sri Chaitanya Girls PU College
Class 12th
June 1, 2020 – May 31, 2022
BVR English Medium High School
Class 10th
June 1, 2018 – May 31, 2020
Multi-Task Deep Learning for Age, Gender & Diabetes from Retinal Images
January 1, 2022 – June 30, 2026
Built a multi-task CNN using the ODIR-5K retinal image dataset to simultaneously predict age, gender, and diabetes. Applied image preprocessing, augmentation, and feature engineering techniques to improve model robustness and evaluated performance using Precision, Recall, and F1-score metrics.
View ProjectCredit Card Fraud Detection using Logistic Regression & Risk Analytics
January 1, 2022 – June 30, 2026
Built a Logistic Regression model to detect fraudulent credit card transactions using transaction-level data. Applied data normalization and SMOTE oversampling to address class imbalance and optimized model performance through Precision, Recall, and F1-score evaluation metrics.
Customer Trends Data Analysis & Business Insights Dashboard
January 1, 2022 – June 30, 2026
Analyzed customer purchase behavior and sales trends using SQL and Python to identify actionable business insights. Performed data cleaning, exploratory data analysis, and KPI evaluation, and produced an interactive Power BI dashboard for customer segmentation and sales performance monitoring.
Analysis of Octane Rating
January 1, 2022 – June 30, 2026
Developed a Multiple Linear Regression model to predict petrol octane ratings. Performed data cleaning, validated regression assumptions, applied corrective measures where necessary, and evaluated model performance through goodness-of-fit analysis and significance testing of model parameters.
View ProjectData Visualization with Power BI
Infosys Springboard
August 1, 2026 – Present
SQL Certification
HackerRank
June 1, 2025 – Present
Python Certification
Nxt Wave
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's participation in hackathons and leadership in a design team indicates a proactive and engaged individual, which aligns well with a dynamic, innovation-driven culture. The diversity of academic projects, from healthcare to business insights, shows a broad interest in applying AI/ML across different domains. However, the candidate is still early in their career, and their long-term cultural alignment would need further assessment through interviews.
Soft Skills & Operational Fit
The candidate's involvement in hackathons and a design team leadership role suggests initiative, problem-solving skills, and a collaborative attitude. The project descriptions indicate an ability to articulate technical processes and outcomes. However, without direct work experience, operational fit in a professional AI engineering team is yet to be fully demonstrated.