Dharma Teja Darsi
@dharmatejadarsi
I turn raw data into insights and strengthen cybersecurity awareness.
What I'm looking for
I collect, clean, transform, and analyze structured and unstructured data to support data-driven business decisions. My work includes Python-based web scraping, exploratory data analysis, statistical methods, visual reporting, and documentation.
I built a web-scraping and EDA project that gathered data from multiple online sources, improved data quality by removing duplicates and handling missing values, and produced charts and business insights for reporting and decision-making.
I also developed a secure cloud-based personal health record sharing model using Attribute-Based Encryption, improving confidential-data protection, access control, and secure sharing between authorized users.
With a Master's degree in Computer Science and cybersecurity training from SRM University, I'm focused on applying SQL, Excel, Python, reporting, network security, risk assessment, and vulnerability assessment to meaningful analytical and security work.
Experience
Work history, roles, and key accomplishments
Data Analyst
Darsi Dharma Teja
Data Analyst with a Master's degree in Computer Science and a strong foundation in data analysis, statistical techniques, business intelligence, data visualization, and cybersecurity fundamentals. Skilled in collecting, cleaning, transforming, analyzing, and interpreting structured and unstructured data to support business decision-making.
Education
Degrees, certifications, and relevant coursework
TJPS College
Master of Science, Computer Science
2016 - 2018
Master of Science in Computer Science from TJPS College, Guntur, Andhra Pradesh, from 2016 to 2018.
G.V.R & S College
Bachelor of Science, Computer Science
2013 - 2016
Bachelor of Science in Computer Science from G.V.R & S College, Guntur, Andhra Pradesh, from 2013 to 2016.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/darsidharmatejaJob categories
Skills
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