Tutor

Y.CHIRUDEEP SHESHU + Manuguru, Bhadradri Kothagudem, Telangana # [email protected]

Q 22 March 2004 � 8523068626

Personal Overview Aspiring Data Science and Software Development professional with strong foundations in machine learning, natural language processing, and data visualization. Skilled in Python, SQL, and Java for building predictive models, performing sentiment analysis, and developing scalable solutions. Passionate about applying data-driven insights to solve business challenges, with a commitment to continuous learning and innovation.

Education Koneru Lakshmiah University, Guntur B.Tech in Electronics And Communication Engineering

Aug 2022 – May 2026

◦ CGPA: 8.93 Sri Chaitanya Junior College, Khammam Intermediate in M.P.C

June 2020 – May 2022

◦ Percentage: 97.3 Sri Satya Bhaskara High School, Manuguru SSC

June 2019 – April 2020

◦ Percentage: 100.0

Certifications • Artificial Intelligence and Machine Learning using Python (Industrial Automation) - Level 1 2 Data Science Institute

2024

• Salesforce Certified AI Specialist AI Domain

2024

◦ Areas of focus: Machine Learning, Data Mining, and Data Visualization

Technical Skills and Interests Programming Languages: python, SQL

Communication Languages: Telugu, English

Developer Tools: Excel, Power BI, Tableau

Projects Multi-Modal MRI Brain Tumor Segmentation using GAN 2024

◦ Built a GAN-based deep learning model in PyTorch for accurate tumor segmentation from multi-modal MRI scans (BraTS 2021 dataset) using T1, T2, and FLAIR modalities.

◦ Tools Used:Python, NumPy, Matplotlib, Google Colab, BraTS 2021 Dataset

Sentiment Analysis on Social Media Data 2025 ◦ Built an NLP-based system to analyze and classify social media opinions as positive, negative, or neutral.

Implemented preprocessing, sentiment scoring, and data visualization. ◦ Tools Used: Python, NLTK, VADER Sentiment

Predictive Analysis for Stock Market Trends 2024 Developed machine learning models to predict stock market trends using historical price data and financial indicators. Improved accuracy through feature engineering and regression techniques. Tools Used: Python, Pandas, NumPy

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Personal Interests Video Editing Reading Books Playing Sports

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