Gautam Pandey

Data Analyst

Ahmedabad

Summary

As a data analyst having 2.5 years of experience with a deep interest in data science, machine learning and artificial intelligence. With a solid foundation in data analysis, programming, and statistical modeling, and eager to apply the skills to real-world challenges. Also Thrive in collaborative environments and am always looking for ways to improve processes through data-driven insights.

Overview

years of professional experience

years of post-secondary education

Certifications

Work History

BUSINESS ANALYST

Celebal Technologies

09.2021 - 12.2023

Contributed to a project that improved customer satisfaction scores by 10% through sentiment analysis and also having 2.5 Years of Experience in this field.

Actively participated in team meetings to share knowledge, exchange ideas, address challenges, and collaborate on potential solutions.
Developed high-quality documentation to support training efforts, helping employees fully understand new systems and procedures.
Supported software development projects by defining clear requirements and effectively communicating them to technical teams.
Improved business processes by analyzing current practices and recommending optimization strategies.
Performed gap analysis to identify areas of improvement
Streamlined project management with effective communication and collaboration across cross-functional teams
Enabled data-driven decision making with advanced analytics tools, generating valuable insights for organization

Education

Bachelor of Technology CSE (Cloud Tech & Info Seq) - Computer Engineering

Poornima University

Jaipur, Rajasthan

08.2017 - 07.2021

Frameworks , Languages & Tools Used

Languages: Python, SQL, C++

Frameworks: Pandas, Numpy, Scikit-Learn, Matplotlib

Tools: Power BI, Excel, Power Point, MY SQL

Skillssummary

Data Visualization
Data Cleaning
Attention to detail
Programming Language(Python)
Problem Solving

Projects

1.Student Performance Prediction

Achieved a 96% accuracy rate in forecasting student academic performance by developing and deploying a machine learning model.
Managed data integrity by handling missing values and encoding categorical variables, enhancing quality by 33%.
Conducted experiments with both classification and regression algorithms to identify the most suitable approach, Identified and comprehended key factors influencing academic performance through thorough analysis .

2.Credit Card Fraud Detection

Developed and fine-tuned a logistic regression-based machine learning model achieving an 87% accuracy rate in predicting credit card fraud.
Minimized false positives by 16% through rigorous feature engineering and hyperparameter tuning processes.
Implemented under-sampling and ensemble techniques to address class imbalance, leading to 15% improved performance.
Successfully mitigated fraudulent transactions while optimizing model efficiency by 23% and accuracy by 6%.

3. Heart Disease Prediction

Orchestrated the development of a Logit model to predict heart disease, achieving an impressive accuracy rate of 91% and surpassing industry benchmarks.
Spearheaded the implementation of HIPAA-compliant data encryption protocols across all healthcare solutions, decreasing data breach incidents by 40% and ensuring patient privacy and security.
Demonstrated commitment to ethical data practices while contributing to the development of data-driven healthcare solutions.
Enhanced healthcare outcomes by 26% through accurate prediction of heart disease, positively impacting patient well-being

Certification

Programming in Python (Meta), 03/2023

Timeline