Shaik Ruksana
@shaikruksana
I build data pipelines, machine learning systems, and interactive analytics dashboards using Python.
What I'm looking for
I've built Python-based ETL and parallel text-processing systems through internships at Infosys Springboard and SmartBridge Educational Services. My work has processed 10,000+ records, reduced data preparation time by 30%, and automated validation, cleansing, reporting, and dashboards.
I developed a Traffic Volume Estimation System using regression, feature engineering, Scikit-learn, Pandas, and Flask to generate predictions from transportation and weather data. I've also analyzed an 8,558-record student participation dataset at Excelerate and engineered seven features to uncover patterns across opportunities, countries, institutions, and time periods.
I enjoy turning raw data into practical insights through Tableau, Power BI, Python, and machine learning. I bring hands-on experience from hackathons, including a Top 10 finish at Tech Nirman Hackathon and third place at CodeSprint.
Experience
Work history, roles, and key accomplishments
AI Data Analyst Intern
Excelerate
Aug 2026 - Present (1 month)
Cleaned and analyzed an 8,558-record student participation dataset using Python and Pandas. Engineered 7 features to analyze participation patterns across opportunities, countries, institutions, and time periods.
Python Technology Stack Intern
Infosys Springboard
Sep 2025 - Dec 2025 (3 months)
Built an ETL pipeline processing 10,000+ records, reducing data preparation time by 30%, manual review effort by 20%, and downstream reporting time by 15% using Python automation, multithreading, data validation, data cleansing, and SQLite. Engineered a parallel text processing system with document chunking, deduplication, Streamlit dashboards, and automated CSV/PDF reporting.
AI/ML Intern
SmartBridge Educational Services Pvt. Ltd.
May 2025 - Jul 2025 (2 months)
Implemented 4 machine learning algorithms using Python, Scikit-learn, and Pandas through hands-on AI/ML training. Built a Traffic Volume Estimation System using regression models and feature engineering on 10,000+ transportation data entries, deploying predictions through Flask.
Education
Degrees, certifications, and relevant coursework
Kallam Haranadha Reddy Institute of Technology
Bachelor of Technology, Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning
Pursuing a Bachelor of Technology in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning, with an expected graduation in 2026.
NRI Vidya Junior College
Board of Intermediate, Intermediate
Completed Board of Intermediate education in 2022.
Availability
Location
Authorized to work in
Job categories
Skills
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