Information Systems Social Media

Adnan Adnan

312-***-**** *.*********@*****.*** linkedin.com/in/adnan-s-13401/ Website Github

EDUCATION

MS Management Information Systems, University of Illinois, Chicago (GPA 3.94 / 4.0) Expected: December 2024

Courses: Advanced DBMS, Information Systems Strategy and Policy, Statistics, Data Mining for Business, Business Data Visualization, Application development, Project Management, Object Oriented Programming, Networks and security, Machine Learning.

B. Tech Computer Science & Engineering, MIT WPU, Pune, India (CGPA 9.53/10) July 2019 - June 2023

TECHNICAL SKILLS

Programming Languages: Python, R, JAVA, C++, C, JavaScript, PHP

Data Analytics & Visualization: Pandas, Statistics, NumPy, Tableau, Power BI, Data modelling, data mining, PyTorch, TensorFlow, scikit-learn.

Database Management: MySQL, Microsoft SQL Server, MongoDB, Hadoop, PostgrSQL

Tools: AWS, Hadoop, Spark, Trello, Jira

PROFESSIONAL EXPERIENCE

Data Extraction Engineer, University of Illinois, Chicago (Ai-O Center) January 2024 - Present

Accelerated the creation of a predictive model for ocular diseases by processing data from 10,000 PDFs, directly contributing to the advancement of healthcare analytics in the Ophthalmology Department.

Reduced project completion time by 30% through the implementation of Python, Power Query, and SQL for data extraction, improving the quality and accessibility of data in Epic

Developed a robust understanding of operational processes and compliance standards by managing sensitive healthcare data and ensuring accuracy in alignment with industry regulations.

Data Analyst, Myriad Naukri Ninja May 2021 - May 2022

Increased recruitment success by 15% by analyzing job market trends and candidate demographics using R and Microsoft Excel, leading to strategic improvements in hiring practices.

Empowered stakeholders with data-driven insights by creating detailed visual reports and interactive dashboards in Tableau, facilitating informed decision-making.

Identified and addressed gaps in recruitment strategies, driving a significant improvement in alignment with company objectives and market conditions.

Volunteer Consultant, Rooted in Dignity October 2023 – December 2023

Boosted social media engagement by 20% by applying advanced machine learning techniques and performing in-depth data analysis to categorize and analyze social media posts. This provided actionable insights that refined the organization’s digital strategy and enhanced content targeting.

Improved website user engagement by 20% through a comprehensive audit and targeted improvements, making the website more competitive against peer organizations.

Increased digital traffic by 30% by developing data-driven recommendations and visualizing performance trends, effectively guiding strategic decisions in social media and website management.

QA Automation Engineer, Colgate Global Business Services July 2022 - January 2023

Cut testing time by over 90%, reducing it from 175 hours to 18 hours, through the development of a streamlined test script.

Expanded test coverage by 60%, increasing overall efficiency by 30% by auditing and optimizing test scripts using the Testim automation tool.

ACADEMIC PROJECTS:

IT Helpdesk web and desktop application (UIC) January 2024 - April 2024

Reduced response time by 50% and enhanced system performance by developing an IT Helpdesk application, integrating Java, HTML, Flask, and PostgreSQL on AWS.

Improved the interpretation of IT trends by 30% through the development of comprehensive data dashboards, utilizing data analysis to facilitate quicker issue resolution and better resource allocation.

Evaluation of Luxury Hotel Brands: An Image-Based Analysis January 2023 - June 2023

Achieved a 96% accuracy rate with a CNN model in PyTorch. Analyzed over a million images and text to categorize hotel images, offering insights into customer preferences and competitor strengths.

Built interactive dashboards using NumPy and Streamlit, visualizing key insights into hotel brand characteristics, which facilitated strategic decision-making and enhanced competitive analysis.

Bitcoin price prediction using Twitter Analysis April 2022 - June 2022

Achieved an 88% accuracy rate in forecasting Bitcoin price movements using sentiment analysis and ML algorithms like Random Forests and SVM. Extracted key features from tweet data to enhance model accuracy.

Increased the precision of sentiment analysis to 94% by categorizing over a million tweets, directly correlating public sentiment with Bitcoin price fluctuations, and providing actionable insights for market predictions.

CERTIFICATION

Google Data Analytics Professional Certificate, Google

Cloud Security Foundation, AWS

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