Headline

Data Science Enthusiast | Turning Data into Insights | Learning Python, SQL & Analytics ,Deep Learning |MCA @ Chandigarh University

About

I'm Angel Taneja — MCA student, ML practitioner, and someone who genuinely gets excited about building models that solve hard real-world problems. Currently interning as a Machine Learning Intern at Unified Mentor and as a Data Science Intern at The Developers Arena simultaneously — applying what I learn directly to production-style problem statements involving feature engineering, model training, and evaluation pipelines. I work across the full ML lifecycle: data cleaning → EDA → model development → evaluation → deployment-ready pipelines. My stack includes Python, TensorFlow, Scikit-learn, Docker, and AWS,SQL. Projects I'm proud of: — CitySafeAI: Multi-modal accident hotspot predictor (89% accuracy) combining CNN, BERT & Random Forest — RetailSmartAI: Dynamic pricing engine using XGBoost + LSTM + sentiment analysis (92% accuracy) — HealthPredictAI: Patient readmission system with ensemble learning (93% accuracy) Certified in: Deep Learning · ML Specialization (Coursera) · Azure DP-100 · AWS Cloud · BCG & Tata Data Science simulations (Forage) Seeking: Entry-level Data Scientist and Data Analyst · ML Engineer · Applied AI roles where I can grow fast and contribute faster and learning new things. Let's connect — whether you're hiring, collaborating, or just talking AI!

Location

Chandigarh

Work experience

Machine Learning Intern at Unified Mentor Private Limited, Dec 2025 - Feb 2026 · 3 mos, Gurugram, Haryana, India, Worked on building and evaluating machine learning models, performing data preprocessing, and creating visualizations to derive actionable insights. Gained hands-on experience in Python, predictive modeling, and data-driven problem solving

Data Science & Analytics at Future Interns, Nov 2025 - Dec 2025 · 2 mos, Remote, During my internship at Future Interns, I worked on many real time projects and learned how to apply data analytics in practical scenarios. Most of my work involved handling raw datasets, exploring patterns, and building clear visual reports to understand performance. What I worked on: • Cleaned and organized data • Analyzed trends • Identified different categories • Built an interactive Power BI dashboard with basic KPIs • Used DAX for simple calculations like totals, averages, and comparisons • Prepared summaries explaining insights in a clear and simple way Skills I developed: • Data cleaning and preparation • Power BI dashboard creation • Basic DAX calculations • Exploratory Data Analysis (EDA) • Understanding sales and business performance metrics • Presenting insights in a straightforward and practical manner This internship helped me understand how data is used in real situations and improved my confidence in working with datasets.

Education

Master of Computer Applications - MCA, Computer application, CHANDIGARH UNIVERSITY

Bachelor of Computer Applications, Kurukshetra university

Public links

github: https://github.com/angeltaneja