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Data Science with 1+ years in Data Analysis & Machine Learning
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Assessing your cultural and operational fit
Information Technology graduate with 1+ year of hands-on experience as a Data Analyst Trainee and applied project work in machine learning and deep learning. Proficient in Python, SQL, and Tableau for end-to-end data analysis, EDA, and statistical reporting, with practical experience building and evaluating predictive models using Scikit-learn and TensorFlow. Strong foundation in supervised learning, classification, regression, feature engineering, and model evaluation. Targeting entry-level roles as a Data Analyst, Junior Data Scientist, or AI/ML Engineer.
Centurion University of Technology and Management
B.Tech · Information Technology
August 1, 2022 – June 30, 2026
Cuvette
Data Analyst Trainee
January 1, 2025 – February 1, 2026
India
Global Terrorism Intelligence Dashboard
February 1, 2026 – February 1, 2026
Built an end-to-end interactive Tableau dashboard analysing 180,000+ global terrorism incidents to surface regional attack patterns, weapon-usage trends, and casualty distributions across 50+ countries. Conducted comprehensive EDA and time-series analysis covering attack frequency, geographic impact concentration, and weapon-category dominance to support evidence-based storytelling. Implemented 5+ visualisation types - Geographic Maps, Treemaps, Area Charts, Bubble Charts, and KPI cards - and identified peak attack periods and dominant weapon categories, demonstrating strong data-storytelling and decision-support skills.
AI for Hyperspectral Soil Analysis
January 1, 2026 – January 1, 2026
Engineered a soil-moisture prediction pipeline on high-dimensional hyperspectral imaging data, including dimensionality handling, normalisation, and feature selection for spectral bands. Trained and benchmarked Random Forest, Gradient Boosting, and Support Vector Regression models with k-fold cross-validation, achieving an R² of 0.97 on the held-out test set. Applied Particle Swarm Optimization (PSO) for hyperparameter tuning and validated performance using R², RMSE, and residual analysis to improve generalisation on unseen spectral data.
View ProjectSkin Cancer Detection using Custom CNN
November 1, 2025 – November 1, 2025
Designed a Convolutional Neural Network (CNN) for binary image classification of melanoma on dermoscopic images, with a custom architecture tuned for class-imbalanced medical imagery. Applied transfer learning and data augmentation (rotation, flipping, zoom) to address training-set imbalance and improve recall on the malignant class. Evaluated the model using precision, recall, F1-score, ROC-AUC, and confusion-matrix analysis; tuned the classification threshold to minimise false negatives for clinical relevance.
Data Analytics & Visualization Job Simulation
Accenture
January 1, 2023 – Present
Python 101 for Data Science
CognitiveClass.ai
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in applying data science to various domains, including terrorism intelligence, medical imaging, and environmental analysis. This breadth of application suggests adaptability and a curious mindset, which are positive indicators for cultural fit in an innovative team. The experience as a Data Analyst Trainee at Cuvette, involving collaboration with cross-functional stakeholders, further supports a team-oriented approach. The target role of Data Science aligns well with the candidate's project work and technical skills.
Soft Skills & Operational Fit
The candidate's resume highlights analytical thinking, problem-solving, communication, stakeholder collaboration, attention to detail, and time management. These soft skills are crucial for a Data Science role, indicating a good operational fit for collaborative and analytical environments. The project descriptions show an ability to translate technical findings into actionable insights, which is vital for stakeholder communication.