AI Engineer with less than a year in ML Pipelines & 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
Data Science Intern with foundational experience in building end-to-end ML pipelines, including preprocessing, EDA, feature engineering, and deployment. Developed predictive models using Random Forest and XGBoost for business insights and automated training workflows. Proficient in Python, Pandas, Scikit-learn, SQL, Git, Power BI, and interactive dashboard creation using Power BI and Gradio. Actively pursuing an MSC in Data Science, bringing academic knowledge and practical skills to data-driven projects.
Kristu Jayanti College, Bengaluru
MSC · Data Science
January 1, 2025 – Present
Kristu Jayanti College, Bengaluru
Bachelor of Computer Applications (BCA) · Data Analytics
January 1, 2021 – January 1, 2024
Staracey Memorial Composite PU
12th · State board
January 1, 2019 – January 1, 2021
Jubilee High School
10th · State board
January 1, 2007 – January 1, 2019
Apex IQ.AI
Data Science Intern
June 1, 2025 – July 1, 2025
Bengaluru, Karnataka, India
Customer Lifetime Value Prediction
June 1, 2026 – Present
Developed ML models using Random Forest and XGBoost for customer value prediction. Built a real time prediction interface using Gradio.
Twitter Sentient Analysis
June 1, 2026 – Present
Built a sentiment analysis system using VADER and BERT models. Developed a Flask web app for real time sentiment visualization.
Stroke Risk Preiction
June 1, 2026 – Present
Analyzed 5,000+ patient records using Logistic Regression and Random Forest. Created Power BI dashboards for healthcare insights.
Smart Stick for Blind People
June 1, 2026 – Present
Developed an obstacle detection and navigation support system using C.
Microsoft Azure Fundamentals
Unknown
June 1, 2026 – Present
MongoDB Java Developer Path
Unknown
June 1, 2026 – Present
Qlik Sense Business Analyst
Unknown
June 1, 2026 – Present
Celonis Rising Star – Automation & Technical
Unknown
June 1, 2026 – Present
Programming using Java
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and project diversity, including a mix of ML applications and a C-based embedded system, suggest a broad interest in technology. The pursuit of a Master's in Data Science and various certifications indicate a proactive learning attitude. The role as a Placement Coordinator also hints at organizational and interpersonal skills. These aspects suggest a potential for good cultural fit in a learning-oriented and collaborative environment, though the lack of professional experience beyond a short internship limits a deeper assessment.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience suggest an ability to work on defined tasks and contribute to project development. Participation in competitions and a research paper indicate initiative and problem-solving aptitude. However, the short duration of the internship and academic nature of projects limit the assessment of real-world operational fit and collaboration in a professional setting.