Data Science with less than a year in ML Models & BI Dashboards
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 Analyst and Machine Learning fresher with hands-on experience building end-to-end ML models (regression, ANN, CNN) and business intelligence dashboards in Power BI. Skilled in Python, SQL, and Scikit-learn with a track record of delivering models above 78–92% accuracy on real-world datasets. Pursuing an entry-level data role where analytical depth and ML experience translate directly to business impact.
Indus University, Ahmedabad
B.Tech · Computer Science Engineering
January 1, 2021 – January 1, 2025
Face Mask Detection
June 1, 2025 – June 1, 2026
Built a real-time face mask detection system using a Convolutional Neural Network (CNN) in TensorFlow/Keras, achieving ~92% classification accuracy. Applied image preprocessing (normalization, augmentation) to improve model generalization across varied lighting and angles. Packaged the model for real-time inference using OpenCV video feed integration.
View ProjectCustomer Churn Prediction
June 1, 2025 – June 1, 2026
Designed and trained an Artificial Neural Network (ANN) to predict customer churn, achieving ~78% accuracy with balanced precision and recall. Conducted exploratory data analysis (EDA) to surface key churn drivers including tenure, contract type, and monthly charges. Applied feature scaling and class imbalance handling techniques to improve model robustness.
View ProjectSuper Store Sales Dashboard
June 1, 2025 – June 1, 2026
Developed an interactive Power BI dashboard tracking 5+ KPIs including total revenue, profit margin, regional performance, and sales trends across product categories. Designed data models and DAX measures to enable dynamic filtering by region, segment, and time period.
House Price Prediction
June 1, 2025 – June 1, 2026
Built and optimized a regression model using Scikit-learn on a ~10K-record housing dataset, achieving strong performance as measured by R² and RMSE metrics. Performed end-to-end data cleaning and feature engineering to handle missing values, outliers, and categorical encoding before model training. Compared multiple models (Linear Regression, Random Forest) to select the best-performing estimator.
View ProjectData Analyst Bootcamp
Indus University
June 1, 2026 – Present
Data Science Certification
Tops Technologies
June 1, 2026 – Present
AWS Certification
Cloud Computing & Machine Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in Data Science, aligning with the target role. The diversity of projects (computer vision, churn prediction, sales dashboard, house price prediction) shows a breadth of application areas. However, the lack of professional experience or team-based projects limits the assessment of cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and deliver measurable outcomes (e.g., model accuracy). The academic nature of projects suggests a foundational understanding of data science workflows. However, without direct work experience or psychometric test results, it's difficult to assess operational fit, stress handling, or team collaboration skills.