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Deepak YannaDY
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Deepak Yanna

@deepakyanna

Aspiring data analyst specializing in AI/ML, turning datasets into actionable insights with Python, Power BI, and EDA.

India
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What I'm looking for

I’m looking for an entry-level role where I can apply data cleaning, EDA, and Power BI dashboards to guide business and marketing decisions, learn faster on real datasets, and contribute clear, actionable insights.

I’m a Computer Science Engineering student specializing in Artificial Intelligence and Machine Learning, focused on using data analysis to support business and marketing decisions. I build insights through data cleaning, exploratory data analysis (EDA), and data visualization using Python, SQL, Excel, and Power BI.

Through projects like Air Quality Data Analysis, IPL Cricket Data Analytics, and Marketing Campaign Performance Analysis, I turn raw datasets into clear patterns and visual dashboards. I also strengthen my toolkit with workshops (Power BI & Tableau, Generative AI, Cyber Security) and certifications in Intro to Data Science and IoT, and I’m eager to grow in an analytics-focused role.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

SC

SESHADRI RAO GUDLAVALLERU ENGINEERING COLLEGE

B.Tech in Computer Science and Engineering, Computer Science and Engineering (Artificial Intelligence & Machine Learning)

2022 -

Grade: CGPA: 7.77

Activities and societies: Peer Mentor in SRGEC ELTC (2022–2023); attended Power BI & Tableau workshop for data analysis; attended Generative AI & Cyber Security workshops.

B.Tech in Computer Science and Engineering (Artificial Intelligence & Machine Learning) at Seshadri Rao Gudlavalleru Engineering College (2022–2026, expected), with a CGPA of 7.77.

SS

Saint Francis English Medium Higher Secondary School

Higher Secondary (Intermediate), Physics, Chemistry, Mathematics, Biology (PCMB)

2020 - 2022

Grade: Percentage: 74.6%

Completed Higher Secondary (Intermediate) with PCMB (Physics, Chemistry, Mathematics, Biology), scoring 74.6%.

Tech stack

Software and tools used professionally

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