Computer Science Machine Learning

SD OWEZ SHARIEF

Email: ********@*****.*** +91-998******* LINKEDIN GITHUB

Summary

Analytical and detail-oriented Computer Science graduate with a strong foundation in Python and SQL, holding a B.Tech in Computer Science and Engineering with a specialization in Data Science. Experienced in building data-driven solutions, developing scalable code, and deploying end-to-end features in Agile teams. Proficient in performing machine learning modeling, and delivering insights through interactive dashboards using Power BI and Tableau. Adept at clear communication, cross-functional collaboration, and delivering robust, maintainable software solutions.

Education

Vaagdevi Engineering College, Warangal, India (2022-2025)

● Computer Science & Engineering(DATA-SCIENCE)

VMR Polytechnic, Rampur (Currently VMR Pradeep Kumar Institute of Engineering & Technology) (2019-2022)

● SBTET (Diploma In Electrical and Electronics Engineering) Work Experience / Internships

Cognifyz Technologies Data Analytics Virtual Internship June 2024 - July 2024

● Built and optimized data workflows using Python (Pandas, NumPy) to evaluate restaurant delivery processes, improving operational efficiency through automation.

● Designed dynamic reports and cross-filtered dashboards using Power BI, enabling real-time visibility into KPIs for business stakeholders.

● Ensured data accuracy and pipeline readiness by validating input sources and cleaning large-scale datasets for downstream analysis. IRA OM Technologies, Warangal Student intern on-site Aug 2021 - Jan 2022

● During my Diploma in Electrical and Electronics Engineering. I completed my 6-month’s internship, working on Power Systems – Smart Grid. Received positive feedback for technical skills and conduct. Projects

Smart Laptop Pricing - [ Scikit-learn Numpy Pandas Streamlit] view

● Developed a price prediction model using regression algorithms trained on preprocessed e-commerce datasets.

● Implemented user input forms and visual output charts in a responsive Streamlit interface, simulating a production-ready ML tool.

● Focused on clean coding practices, modular structure, and optimized model training for accurate pricing recommendations. Bike Stores Sales Analysis- [Tableau SQL] view

● Performed in-depth sales analysis by writing complex SQL queries to retrieve and segment customer and product-level data; developed a Tableau dashboard with interactive filters and visuals to uncover growth opportunities.

● Enhanced visibility into sales trends and inventory dynamics, allowing stakeholders to act on data-driven recommendations— potentially improving inventory turnover and customer satisfaction. OMNI Foods - Food Ordering Website [ HTML CSS ] view

● Designed and deployed a static, responsive web application simulating online food ordering and restaurant menus.

● Emphasized user interface clarity, lightweight HTML structure, and accessibility.

● Demonstrated front-end design principles aligned with user-centric workflows. Skills

Programming Languages: Python, Java, SQL

Data - Analysis and Modeling: Numpy, Pandas, Matplotlib. Machine Learning: Seaborn, sci-kit learn.

Visualization & BI :- Power BI, Tableau, Ms-Excel. Database : MySQL.

Web & Deployment Tools: HTML, CSS, JS, Streamlit.

Soft skills: Critical Thinking, Independent Execution, Team Collaboration, Clear Communication, Problem Solving. Certifications & Learning course

Python Boot camp - Udemy view

SQL (Intermediate) - HackerRank view

Data-Science Bootcamp - (Odin School) view

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