Lucky Rangi

Entry-level Data Science, Machine Learning, or Data Analytics role

Jaipur, Rajasthan, India 0+ yrs exp 86 · Excellent

About

Results-driven Computer Science graduate (B.Tech, 2026) with hands-on experience in Data Science, Machine Learning, and Data Analytics. Skilled in Python, SQL, statistical analysis, and ML frameworks including Scikit-Learn, XGBoost, Pandas, and NumPy. Proven track record building end-to-end predictive models and deploying production-ready APIs with Docker and Kubernetes. Actively expanding into Generative AI and cloud platforms. Seeking an entry-level Data Science, Machine Learning, or Data Analytics role to deliver measurable impact.

Skills & Expertise (42)

Python Intermediate

7.5/10

0.25

Years Exp

Machine Learning Intermediate

7.5/10

0.25

Years Exp

scikit-learn Intermediate

7.0/10

0.25

Years Exp

NumPy Intermediate

7.0/10

0.25

Years Exp

Pandas Intermediate

7.0/10

0.25

Years Exp

SQL Intermediate

6.5/10

0.25

Years Exp

Data Visualization Intermediate

6.5/10

0.25

Years Exp

Deep Learning Beginner

5.5/10

0.25

Years Exp

Git Beginner

5.0/10

0.25

Years Exp

Power BI Beginner

5.0/10

0.25

Years Exp

Flask Beginner

5.0/10

0.25

Years Exp

AWS Beginner

4.5/10

0.25

Years Exp

CSS Java PyTorch TensorFlow HTML Prompt Engineering LangChain Generative AI VS Code Jupyter Notebook MLflow Render Kubernetes Docker GitHub Classification MySql Predictive Modeling Streamlit Seaborn Matplotlib FastAPI Statistical Analysis XGBoost Hypothesis Testing Exploratory data analysis Feature Engineering Model Deployment Model Evaluation Regression

Work Experience

Data Science Intern

Celebal Technologies

Jun 2025 - Aug 2025

Applied data preprocessing, feature engineering, and machine learning techniques on real-world datasets to build predictive models for fraud detection and customer segmentation, improving model accuracy by 15%. Built and evaluated classification and regression models using Python (Scikit-Learn, Pandas, NumPy), reducing the false positive rate in fraud detection by 20%. Performed exploratory data analysis (EDA) and statistical data visualization to uncover patterns and communicate actionable insights to stakeholders.

Frontend Development Intern

Mission Minded Foundation

Aug 2024 - Sep 2024

Developed 5+ responsive, interactive web pages using HTML, CSS, and JavaScript, improving cross-browser compatibility across Chrome, Firefox, and Edge. Collaborated with the design team to implement UI components, reducing page load time by 10% through code optimization.

IoT Intern

PIET AICTE IDEA LAB

Aug 2023 - Aug 2023

Built a real-time monitoring and alert system with Arduino and ESP32, reducing detection delay to under 2 seconds. Integrated temperature, motion, and gas sensors for 24/7 automated monitoring, achieving 98% uptime on a live prototype.