Summary
Overview
Work History
Education
Skills
projects
Certification
Timeline
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Shravya Cheekoti

Data Analyst
Hyderabad

Summary

Detail-oriented and analytical Data Analyst with a strong foundation in data analysis, data visualization, and statistical modeling. Proficient in tools such as Excel, SQL, Python, and Power BI. Demonstrated ability to draw insights from data through academic projects and self-driven learning. Eager to apply data skills in a professional setting to support strategic decision-making.

Overview

5
5
Certifications

Work History

Intern

Infosys Ltd.
09.2024 - 12.2024

AI/ML Intern, Infosys.

MelanoAI: Intelligent Skin Cancer Screening.

  • Developed an AI-driven solution for accurately classifying skin lesions as benign or malignant, leveraging.
  • Cutting-edge machine learning techniques in the MelanoAI project.
  • Developed and deployed a convolutional neural network (CNN)-based deep learning model, significantly.
  • Enhancing diagnostic accuracy by effectively learning and classifying complex skin lesion patterns. Preprocessed image datasets through noise reduction, grayscale, and augmentation to ensure model reliability.
  • Utilized Python, TensorFlow, and Keras to build, train, and optimize the model.
  • Achieved 92% accuracy and reduced inference time by 15% through performance optimization.
  • Collaborated with a cross-functional team to integrate the model into a user-friendly diagnostic application.

Education

B.Tech - Computer Science And Engineering

CVR College of Engineering
Hyderabad, India
04.2001 -

Intermediate - MPC

Sri Chaitanya Junior College
Hyderabad, India
04.2001 -

High School - SSC

Sri Chaitanya Techno School
Siddipet, India
04.2001 -

Skills

    Data interpretation

    Data visualization expertise

    SQL data analysis

    Python programming

    Data quality assurance

    Data preprocessing techniques

    Expertise in Excel formulas

    Database management with SQL

    Data representation techniques

    Tableau data visualization

    Expertise in Power BI

    Machine learning

projects

E-commerce Sales Dashboard
Built an interactive dashboard to analyze e-commerce sales using Power BI. Visualized KPIs, sales by country, category, and shipping mode. Enabled dynamic filtering using slicers and enhanced insights through data modeling and DAX.
Tools Used: Power BI, Power Query, DAX, Excel


Credit Card Fraud Detection System

Developed Credit Card Fraud Detection System utilizing machine learning techniques to detect and mitigate

fraudulent transactions with high accuracy and low false positives.

Tools Used: Python; Frameworks: Scikit-learn, Pandas, Matplotlib, Seaborn


Streamlining Doctor Availability and Appointment Allocation in Hospitals through Digital Technology

Developed digital platform to optimize doctor availability and automate appointment allocation,

improving hospital workflow efficiency, resource management, and patient satisfaction.

Tools Used: React.js, Redux, HTML5, CSS3, Bootstrap (Frontend); Node.js, Express.js (Backend); MongoDB,

Mongoose (Database); JWT, bcrypt.js (Authentication & Security.


Custom Sales Dashboard

Designed and implemented a Salesforce dashboard with custom reports and real-time metrics for

tracking sales performance.

Automated lead assignments using workflows, improving sales efficiency by 20%.

Tools Used:Salesforce platform,Apex Triggers,SOQL,DataLoader


Real vs. Fake News Detection

Developed a classification modelto distinguish real and fake news articles using NLP techniques.

Applied text vectorization (TF-IDF) and various machine learning algorithms for classification.

Tools Used: Python, Scikit-learn, Pandas, Numpy

Certification

Data Visulalisation using PowerBI-Great Learning

Timeline

Intern

Infosys Ltd.
09.2024 - 12.2024

B.Tech - Computer Science And Engineering

CVR College of Engineering
04.2001 -

Intermediate - MPC

Sri Chaitanya Junior College
04.2001 -

High School - SSC

Sri Chaitanya Techno School
04.2001 -

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Shravya CheekotiData Analyst