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Entry-level Data Science Engineer with a focus on Machine Learning & Computer Vision
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
An aspiring Information Technology student at JSS Academy Of Technical Education with a solid foundation in Data Structures, Algorithms, Artificial Intelligence, and Machine Learning. Eager to apply proficiency in Python, C++, and various ML/AI frameworks like Scikit-learn and TensorFlow to solve real-world problems. Demonstrated practical experience through projects in mobile sales analysis, computer vision, fake news prediction, and diabetes disease prediction, showcasing abilities in data analysis, predictive modeling, and application deployment.
JSS Academy Of Technical Education, Noida
B.Tech – Information Technology · Information Technology
October 1, 2023 – May 1, 2027
Motorola Mobile Sales Analysis
January 1, 2025 – December 31, 2025
Performed EDA on 12+ months of Motorola sales data across 5 regional markets; built interactive Power BI dashboard with 8 visualizations, cutting reporting time by ~60%. Cleaned and transformed 10,000+ raw records using Power Query; applied DAX measures for YoY growth and regional benchmarking.
Magic Invisibility Cloak — Computer Vision
January 1, 2025 – December 31, 2025
Built real-time invisibility cloak app using HSV color segmentation and background subtraction; achieved 30 FPS with NumPy-optimized masking pipeline. Reduced false positives by ~40% vs. naive RGB thresholding via calibrated multi-color detection threshold tuning.
Fake News Prediction App — NLP / Text Classification
January 1, 2025 – December 31, 2025
Built end-to-end NLP pipeline; achieved 94%+ accuracy on 20,000-article dataset using TF-IDF features and PassiveAggressive classifier selected via cross-validation. Deployed interactive Streamlit web app for real-time text input and fake/real news classification inference.
Diabetes Disease Prediction — Predictive Analytics
January 1, 2025 – December 31, 2025
Trained supervised ML model on Pima Indians dataset (768 records); achieved 82% accuracy and 0.87 AUC-ROC; improved recall by 11% via feature selection and imputation. Deployed as a Flask API with front-end form for clinician input and real-time diabetes risk scoring output.
Python 3.4.3 Training Certificate
Indian Institute of Technology Bombay (IIT Bombay)
June 1, 2026 – Present
Supervised Machine Learning: Regression and Classification
DeepLearning.AI / Coursera
November 1, 2025 – Present
Oracle 2025 Certified Data Science Professional
Oracle
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in Data Science, aligning well with the target role. The diversity of projects (Computer Vision, Predictive Analytics, NLP, Sales Analysis) indicates a broad curiosity and willingness to explore different domains within data science. However, all projects are academic, and there is no professional experience, which limits the assessment of cultural fit in a corporate environment. The certifications and self-driven projects suggest a motivated individual, which is a positive indicator for cultural fit.
Soft Skills & Operational Fit
The candidate lists soft skills such as Leadership, Event Management, Public Speaking, Technical Writing, and Time Management. While these are valuable, their application in a professional data science context is not explicitly demonstrated in the project descriptions. The candidate's academic background and project diversity suggest a foundational operational fit for data science roles, but practical experience in team collaboration and project management within an industry setting is not evident.