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Saravanan CV April

This document outlines the education and work experience of Saravanan K. It details his Bachelor's degree in Automobile Engineering from Madras Institute of Technology and relevant skills including Python, SQL, Pandas, Numpy and Power BI. It also describes his current role as a Data Analyst at Latent View Analytics and past projects involving credit card fraud detection, heart disease prediction and student performance prediction using machine learning models.
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0% found this document useful (0 votes)
13 views1 page

Saravanan CV April

This document outlines the education and work experience of Saravanan K. It details his Bachelor's degree in Automobile Engineering from Madras Institute of Technology and relevant skills including Python, SQL, Pandas, Numpy and Power BI. It also describes his current role as a Data Analyst at Latent View Analytics and past projects involving credit card fraud detection, heart disease prediction and student performance prediction using machine learning models.
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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SARAVANAN K

7338935148 | saravananmit2001@gmail.com

EDUCATION
MADRAS INSTITUTE OF TECHNOLOGY Chennai,Tamil Nadu
Bachelor Of Engineering in Automobile; CGPA:8.71 August 2019 – May 2023

SWAMI VIVEKANANDA SCHOOL Kanchipuram,TamilNadu


Class XII- 93%; Class X – 99.2% June 2017 – April 2019

SKILLS SUMMARY
• Languages: Python, SQL
• Frameworks: Pandas, Numpy, Scikit-Learn, Matplotlib, Tensorflow
• Tools: Power BI, Excel, PowerPoint, Tableau, MySQL, PostgreSQL,AWS(Fundamentals)
• Platforms: Jupyter Notebook, Visual Studio Code
• Soft Skills : People Management, Excellent communication,Problem Solving

WORK EXPERIENCE
DATA ANALYST | LATENT VIEW ANALYTICS November 2023-Present
 Completed a comprehensive training program in Data Analytics, consistently ranked in the top 10% of
trainees
 Designed a Regression model with an exceptional accuracy of 85% incorporating sales history, marketing
efforts, economic factors and store specific data to forecast retail product sales. This tool aids clients aids
clients in optimizing staffing, refining marketing strategies and improving inventory management for
enhanced business efficiency.
 Investigated customer buying patterns through extensive case study analysis of large datasets,
providing innovative recommendations that diverged from conventional approaches

PROJECTS
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 process.
 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%.
Heart Disease Prediction:
 Orchestrated the development of Logit model to predict heart disease, achieving an impressive accuracy rate
of 91% and surpassing industry benchmarks.
 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.
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%.
 Identified and comprehended key factors influencing academic performance through thorough analysis.

CERTIFICATES
 SQL Advanced (HackerRank)
 Complete AI & Machine Learning Bootcamp (Udemy)
 Python Fundamentals (Great Learning)
 Power BI – Data Analytics Essentials with Power BI (Udemy)
 Excel essentials for the real world (Udemy)
 Digital Marketing Basic Course (Udemy)

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