Open to opportunities

Kushal S

@kushals

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Recent Computer Science graduate seeking entry-level Data Analyst or QA Engineer role.

India

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What I'm looking for

I am looking for an entry-level role (Data Analyst or QA Engineer) where I can apply analytical and testing skills, grow technically, and work collaboratively in a supportive, learning-focused team environment.

I am a recent Computer Science and Engineering graduate with internship experience at Eunoia Labs, skilled in SQL, Python (Pandas), Excel, data analysis, and manual software testing. I have experience preparing reports, analyzing datasets, writing test cases, documenting processes, and collaborating remotely using tools like GitHub, JIRA, Slack, Trello, and Zoom.

I have built machine learning and deep-learning projects including an AI-powered liver cirrhosis stage predictor (Streamlit) and a Bone Marrow Cell Classification model (DenseNet121). I seek an entry-level Data Analyst or QA Engineer role where I can apply my analytical, organizational, and technical abilities to deliver actionable insights and reliable software testing.

Experience

Work history, roles, and key accomplishments

Software Engineer

Eunoia Labs

Interned remotely to analyze datasets, prepare reports, and perform manual software testing; created and maintained project documentation and test cases, improving team workflow and reporting accuracy.

SQL Excel Manual Testing Jira GitHub Postman

Education

Degrees, certifications, and relevant coursework

Sri Channabasaveshwara Institute of Technology – Gubbi

Bachelor of Engineering, Information Science and Engineering

Grade: 70%

Activities and societies: Academic projects: AI-Powered Liver Cirrhosis Stage Predictor (Streamlit), Bone Marrow Cell Classification (DenseNet121), Mini Project – Client Nexas; Research paper on threats and attacks on cloud computing.

Bachelor of Engineering in Information Science and Engineering completed in May 2025 with a final grade of 70%; coursework and projects focused on machine learning, cloud computing, and applied deep learning for medical imaging.