Ashutosh Maurya

Data Science

https://www.opentalent.in/ashutosh-maurya-2903868

Entry-level Data Science Engineer with a focus on Machine Learning & Computer Vision

Key Strengths

Demonstrated proficiency in Python for data science tasks, including ML, NLP, and Computer Vision.
Experience with various ML frameworks and libraries such as Scikit-learn, TensorFlow, NumPy, Pandas, and OpenCV.
Ability to build end-to-end data science projects, from data cleaning and EDA to model deployment (Flask, Streamlit).
Strong understanding of core data science concepts like predictive modeling, text classification, and computer vision.
Certifications in Data Science and Supervised Machine Learning indicate a proactive learning approach.

Cultural & Operational Fit

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.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

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.

Top Skills

PythonComputer VisionNlp

Projects

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.

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.

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.

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.

Certifications

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

Key Strengths

Demonstrated proficiency in Python for data science tasks, including ML, NLP, and Computer Vision.
Experience with various ML frameworks and libraries such as Scikit-learn, TensorFlow, NumPy, Pandas, and OpenCV.
Ability to build end-to-end data science projects, from data cleaning and EDA to model deployment (Flask, Streamlit).
Strong understanding of core data science concepts like predictive modeling, text classification, and computer vision.
Certifications in Data Science and Supervised Machine Learning indicate a proactive learning approach.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit