sriram addanki

IT and Data Science enthusiast specializing in Machine Learning, analytics, and intelligent systems, with a passion for solving real-world problems through data and technology.

Résumé, links and contact below

About

IT and Data Science enthusiast specializing in Machine Learning, analytics, and intelligent systems, with a passion for solving real-world problems through data and technology.

Education

CSE-AI/ML

Malla Reddy University

Sep 202031 Jul 2024

7.94 CGPA

Skills

React

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HTML5

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JavaScript

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CSS3

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Node.js

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Python

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Git

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GitHub

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Teamwork

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Time Management

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Adaptability

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Problem Solving

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Things I have built

E-commerce Clothing Store

● Designed and launched a clothing e-commerce on instagram ● Implemented social media campaigns and influencer collaborations to build brand presence. ● Improved conversion rates by optimizing product descriptions, images, and checkout process. ● Gained hands-on experience with Shopify, Google Analytics, Meta Ads Manager, and SEO tools.

MetaSEO

Cancer Prediction using Machine Learning

● Developed a machine learning model using K-Neighbors Classifier to predict whether cancer is benign or malignant. ● Designed and implemented classification algorithms to fit predictive functions and classify new patient data. ● Explored symptom-based analysis for potential use in early detection and notification.. ● Designed classification algorithms for patient data and explored symptom-based early detection.

MLPython

Experience

2023 - 2023
AI-ML Virtual Internship
EduSkills

● Developed a deep understanding of AI and ML concepts, algorithms, and frameworks through guided coursework and hands-on projects. ● Acquired foundational knowledge in cloud technologies including AWS services relevant to AI/ML workflows, further enhancing marketable skill sets. ● Utilized tools such as Python, TensorFlow, and Scikit-learn to develop and deploy machine learning models. ● Engaged in hands-on projects involving data analysis, model building, and algorithm development.

Certifications

Let’s make something good.

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