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Saravanan CV MAY

The document provides details about Saravanan K's education, skills, work experience, projects and honors. It outlines his Bachelor's degree in Automobile Engineering from Madras Institute of Technology and skills in Python, SQL, data visualization tools and cloud platforms. It also describes his current role as a Data Analyst at Latent View Analytics and past projects involving credit card fraud detection, chatbot development and heart disease prediction.

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saravanananna2001
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45 views1 page

Saravanan CV MAY

The document provides details about Saravanan K's education, skills, work experience, projects and honors. It outlines his Bachelor's degree in Automobile Engineering from Madras Institute of Technology and skills in Python, SQL, data visualization tools and cloud platforms. It also describes his current role as a Data Analyst at Latent View Analytics and past projects involving credit card fraud detection, chatbot development and heart disease prediction.

Uploaded by

saravanananna2001
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as 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
• Languages: Python, MYSQL, PostgreSQL, Oracle
• Frameworks: Pandas, NumPy, Scikit-Learn, Matplotlib, TensorFlow
• Visualization Tools: Power BI (Cleared PL-300), Tableau
• Cloud Platform: AWS(Basic)
• Data Engineering: ETL, Apache Spark, Azure Data Factory

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.
• Currently assisting a large finance-based company in extracting actionable insights from their vast
dataset, providing valuable recommendations to drive decision-making.
• 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 in optimizing staffing, refining marketing strategies, and improving inventory management.

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.

Custom Chatbot using Copilot Studio:


• Took the initiative to experiment with Copilot Studio, crafting a tailored Copilot for personal exploration
• Explored integration of Copilot studio with Azure AI studio to enhance performance, laying the
foundation for future projects.
• Demonstrated self-directed learning and proficiency in utilizing emerging technologies for innovation and
exploration.

Heart Disease Prediction:


• Developed a Logistic regression model to predict heart disease, achieving an accuracy of 91%.
• 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.

HONORS & CERTIFICATIONS


• SQL Advanced (Hacker Rank)
• Scored 95.8% in Microsoft-Power BI Data Analyst (PL-300) examination.
• Complete AI & Machine Learning Bootcamp (Udemy)
• Python Fundamentals (Great Learning)
• Digital Marketing Basic Course (Udemy)
• Consistent performer in Kaggle Machine Learning Competition
• Awarded for exceptional contributions towards organizing and managing university and NSS events.

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