Education Details
Post Graduate Diploma
Specialization
Data Science and Engineering
Score
89%
Grade
Excel
Year of Study
Sep 2022 - Oct 2023
University
Great Lakes Institute of Management collaborated with Great Learning
Bachelor of Technology
Specialization
Chemical Engineering
CGPA
8.45
Grade
First Class
Year of Study
Aug 2018 - Jun 2022
College
Sri Venkateswara College of Engineering
University
Anna University
HSC
Grade
89%
Year of Study
June 2017 - May 2018
School
MLM Mamallan Matric Higher Sec. School
SSLC
Grade
94.8%
Year of Study
June 2015 - Apr 2016
School
MLM Mamallan Matric Higher Sec. School
Feb 2022 - Sep 2022
Wipro
• Developed the front-end user interface using Angular, HTML,
JavaScript, TypeScript, and CSS.
• Built the back-end system with .NET Core, Entity Framework
Core, and microservices, incorporating user authentication and
SQL for database management.
• Implemented core e-commerce functionality, such as a product
catalog, shopping cart, order processing, and payment
integration, while also creating an admin panel for book and user
management.
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Full Stack Developer
Feb 2023 - Jun 2023
KPMG
• Data Quality Assessment: The accuracy, completeness, and
reliability of data are evaluated and
ensured for effective decision-making and analysis.
• Data Insights: Meaningful patterns, trends, and valuable
information are extracted from data to drive
informed decision-making and gain a competitive advantage.
• Data Presentation: Data is presented in a visually appealing and
understandable manner, enabling effective communication of
insights and facilitating decision-makingmaking processes.
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Data Analyst
Jun 2023 - Jul 2023
Oasis Infobyte
• Developed a robust sales prediction model using advertising
data, achieving an impressive R-square of 0.92. Employed
advanced statistical techniques for accurate sales forecasts,
optimizing decision-making.
• Created a highly accurate email spam detection model using
Logistic Regression and TF-IDF vectorization, achieving an
96.42% accuracy. Skillfully categorized emails into spam and
ham groups.
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Data Scientist
Jun 2023 - Jul 2023
Lets Grow More
• Conducted in-depth stock price analysis via Time-series analysis. Employed stacked LSTM for stock pre
diction and forecasting, achieving an impressive accuracy of 98.75%.
• Performed thorough analysis on the iris flower dataset, revealing patterns. Employed Decision Tree for
successful classification with 97.33% accuracy
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Data Analyst
Jun 2023 - Jul 2023
The Sparks Foundation
• Predicted student marks using Supervised Learning by developing a Linear Regression model with an
accuracy of 92.91%.
• Predicted classes of Iris flowers using Unsupervised Learning by developing a K-means Clustering model
with an accuracy of 90%
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Data Science and Business Analyst
