Rayyan Ahmed

Rayyan Ahmed

$11/hr
Data Scientist || Python || Power Bi || SQL || R
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Age:
20 years old
Location:
Islamabad, Ict, Pakistan
Experience:
1 year
Rayyan Ahmed-| - | LinkedIn | GitHub PROFESSIONAL SUMMARY Data Analyst with a strong background in Python, SQL, and Power Bi. Demonstrated ability to optimize SQL queries, increasing efficiency by 15%, and develop interactive dashboards using Power BI. Adept at using Python for data analysis and machine learning, with experience in libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib. At Mentorness, enhanced team productivity by 10% through streamlined data processes. Also, leveraged data visualization techniques during my tenure at Ozibook. Passionate about technology and data-driven decision-making, eager to contribute to innovative projects and drive business growth. EDUCATION FAST NUCES Islamabad, Islamabad Pakistan BS: Software Engineering Aug 2022 – June 2026 SKILLS Programming Languages: Python, R, SQL, Java, C++ Tools and Frameworks: Power Bi, MS Excel, Pandas, NumPy, Matplotlib, TensorFlow, Scikit learn, PyTorch, Beautiful Soap Databases and Cloud Services: MySQL, MS SQL Server, Mango DB, AWS, Azure, GCP Soft Skills: Analytical Thinking, Communication, Problem-Solving, Attention to Detail, Adaptability EXPERIENCE Data Analyst: Ozibook | Bangalore, India    Optimized SQL Queries and Data Retrieval: Enhanced query performance by 20%, resulting in significantly faster data processing. Developed Interactive Dashboards: Created Power BI dashboards that improved data visualization and decisionmaking processes by 15%. Implemented Predictive Analytics: Utilized Python libraries like Pandas, NumPy, Matplotlib, Scrapy, Scikit Learn to build machine learning models, increasing predictive accuracy by 18%. Data Scientist: Digital Empowerment Networks | Islamabad, Pakistan      July 2024 – Present Advanced Data Processing: Conducted data cleaning, preprocessing, and visualization to prepare large datasets for analysis, enhancing data quality by 30%. Machine Learning Models: Implemented concept such as k-means clustering, logistic regression, and NLP tokenizing to build predictive models, improving fraud detection accuracy by 22% and reducing false positives by 99.05%. Strategic Insights and Reporting: Analyzed data patterns and presented actionable insights to stakeholders, contributing to strategic decisions and reducing operational risks by 11%. Data Analyst Intern: Mentorness | Remote, Pakistan  July 2024 – Present May 2024 – June 2024 Power BI Dashboards: Developed interactive Power BI dashboards, improving data visualization and decision-making processes, leading to a 20% increase in report efficiency. SQL Data Management: Optimized SQL queries for data extraction and analysis, enhancing data retrieval speed by 25% and ensuring accurate data handling. Report and Presentation Skills: Created comprehensive reports and presentations, effectively communicating insights and trends to stakeholders, resulting in a 15% improvement in decision-making accuracy. Projects:     House Price Prediction and Property Recommendation App | Link | Python, ML, Data Analytics | 2024 Developed a data-driven house price prediction and property recommendation app using machine learning algorithms, achieving an accuracy rate of 45% in predicting house prices. Text Summarization Web App | Link | Python, Data Science, NLP | 2024 Developed web application that employs advanced NLP techniques to perform efficient and accurate text summarization. Point of Sale System SQL Power Bi Dashboards | link | SQL, TSQL, C#, Win Forms | 2024 | link | Power Bi, MS Excel, Sheets | 2024
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