Data Scientist - Python, ML, Data Analysis

Sooraj Sah

************@*****.*** +91-701**-***** LinkedIn GitHub

PROFESSIONAL SUMMARY

Computer Applications postgraduate with a six-month Data Science internship at Infosys Solitaire and project experience in medical insurance cost prediction, fraud data analysis, and web development. Uses Python, SQL, pandas, NumPy, and scikit-learn for data preparation, exploratory analysis, visualization, and foundational machine-learning workflows.

TECHNICAL SKILLS

Programming & Databases: Python, SQL, MySQL

Libraries & ML: pandas, NumPy, scikit-learn, Matplotlib, TensorFlow, Regression, Classification, Model Evaluation

Data Analysis: Exploratory Data Analysis, Data Cleaning, Data Preprocessing, Feature Engineering, Statistical Analysis, Data Visualization

Tools: Excel, Power BI, Tableau, Jupyter Notebook, Git, GitHub EXPERIENCE

Data Science Intern Infosys Solitaire

6 months

• Cleaned and preprocessed datasets with Python, pandas, and NumPy for exploratory analysis and machine-learning tasks.

• Performed exploratory data analysis and statistical analysis to identify patterns, trends, and relationships in datasets.

• Applied regression and classification concepts, including model training and evaluation.

• Created Matplotlib visualizations to communicate analytical findings.

• Used Jupyter Notebook for analysis and Git/GitHub for version control. PROJECTS

Medical Insurance Charges Prediction

Machine Learning Python, pandas, scikit-learn, Matplotlib

• Cleaned and preprocessed data and performed exploratory data analysis using Python and pandas.

• Built a regression model to predict medical insurance charges and visualized evaluation results with Matplotlib. Fraud Detection Data Analysis

Data Analysis Python, pandas, NumPy

• Analyzed transaction attributes including amount, device type, location, risk score, card type, and fraud labels.

• Applied pandas filtering, grouping, aggregation, and transformation to prepare analytical features for fraud-detection use cases.

E-Commerce Shopping Website

Web Application Database-driven

• Developed an e-commerce website supporting product browsing, product management, and online shopping.

• Implemented product-management and user-interaction features; used a database for structured product and user data.

EDUCATION

Master of Computer Applications 2023 - 2025

Vivekananda Global University, Jaipur

Bachelor of Computer Applications 2020 - 2023

Mahatma Jyotiba Phule Rohilkhand University, Bareilly, Uttar Pradesh

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