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T S Anjali

Data Analyst | Python, SQL, Tableau, Excel, Data Analysis | Open to Work

Hyderabad

< 1 year of work experience

Defence Electronics Research Laboratory (DLRL - DRDO)
Dec 20255 mosApr 2026

Hyderabad, Telangana, India

• Analyzed ~2.5 lakh (250,000+) IQ signal data samples for modulation classification across multiple classes • Performed data preprocessing including normalization, noise handling, and label encoding to improve data quality • Built and evaluated deep learning models (CNN, GRU) for pattern recognition in signal data • Achieved ~99.3% test accuracy using CNN, outperforming GRU and hybrid models • Conducted performance evaluation using accuracy, precision, recall, and confusion matrix analysis • Identified CNN as the most effective model for capturing signal patterns with lower complexity • Worked with Python, NumPy, TensorFlow/Keras for data processing and model development

Education

Vellore Institute of Technology

Master of Science - MSc, Data Science

Vellore Institute of Technology

20242 yrs2026
Sri Venkateswara University

Bachelor of Science - BSc, Mathematics, Statistics, Computer Science

Sri Venkateswara University

20213 yrs2024

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Headline

Data Analyst | Python, SQL, Tableau, Excel, Data Analysis | Open to Work

About

Data Analyst with hands-on experience working on real-world datasets during my internship at DLRL-DRDO. Analysed ~250,000+ signal data samples, focusing on data pre-processing, noise handling, and identifying meaningful patterns. Performed data analysis and model evaluation using Python, validating results with metrics such as accuracy, precision, recall, and confusion matrix. Skilled in data cleaning, exploratory data analysis (EDA), and deriving insights to support decision-making. Skills: Python, SQL, Data Analysis, Pandas, NumPy Open to Data Analyst roles.

Location

Hyderabad

Work experience

Data Analyst Project Intern at Defence Electronics Research Laboratory (DLRL - DRDO), Dec 2025 - Apr 2026 · 5 mos, Hyderabad, Telangana, India, • Analyzed ~2.5 lakh (250,000+) IQ signal data samples for modulation classification across multiple classes • Performed data preprocessing including normalization, noise handling, and label encoding to improve data quality • Built and evaluated deep learning models (CNN, GRU) for pattern recognition in signal data • Achieved ~99.3% test accuracy using CNN, outperforming GRU and hybrid models • Conducted performance evaluation using accuracy, precision, recall, and confusion matrix analysis • Identified CNN as the most effective model for capturing signal patterns with lower complexity • Worked with Python, NumPy, TensorFlow/Keras for data processing and model development

Education

Master of Science - MSc, Data Science, Vellore Institute of Technology

Bachelor of Science - BSc, Mathematics, Statistics, Computer Science, Sri Venkateswara University

T S Anjali - Data Analyst Project Intern in Hyderabad | Tal