Michael Kebede
Philadelphia
Summary
Aspiring tech sales professional with a background in computer science and a passion for combining technical expertise with strong sales skills. Experienced in data analysis, problem-solving, and communication, with a proven ability to translate complex technical concepts into value-driven solutions for clients. Seeking an opportunity to leverage my sales acumen and technical knowledge to drive business growth and build lasting customer relationships in the tech industry.
Overview
1
1
year of professional experience
Work History
Data Analyst Internship
Commercial Bank of Ethiopia
06.2022 - 08.2022
- Optimized data manipulation using Python, integrated pandas and NumPy libraries
- Implemented efficient algorithms and techniques to streamline data processing and ensure data integrity
- Achieved a 10% reduction in processing time, resulting in streamlined workflows and enhanced data integrity
- Additionally, managed Python packages to apply advanced statistical techniques, extracting valuable insights from user datasets
- This facilitated informed decision-making and contributed to a 20% boost in operational efficiency for the commercial bank
Marketing Internship
Ripple Match
02.2022 - 05.2022
- Instructed 100+ students during internship, providing comprehensive guidance and support in navigating and utilizing the platform
- Delivered personalized guidance tailored to each student's needs to enhance their user experience
- Achieved a 40% increase in platform proficiency and optimization of their overall user experience
Tech/Data Entry Internship
Hilton Hotel
06.2021 - 08.2021
- Developed and implemented statistical models, enhancing forecasting accuracy by 5%
- Analyzed and optimized data retrieval processes, reducing query response time by 40%
- Improved decision-making precision and facilitated quicker access to critical information
Education
Data Science Certification -
SpringBoard Academy
Philadelphia, PA07.2024
Computer Science -
Temple University
Philadelphia, PA04-2024
Skills
- Python
- R
- JavaScript
- MySQL
- SQL
- XML
- HTML
- Microsoft Office
- Power BI
- Tableau
- Data visualization
Projects
Fake News Detector, Designed out of interest in identifying fake news articles, including researchers, journalists, and individuals concerned about misinformation., Utilized a dataset named news.csv, containing 7796 news articles labeled as REAL or FAKE., Implemented a machine learning approach, specifically using a Term Frequency-Inverse Document Frequency and a PassiveAggressiveClassifier, to classify news articles as real or fake based on their textual content., Provided installation instructions to set up the project environment and utilized the implemented steps to preprocess the data, train the classifier, and evaluate its performance.
Timeline
Data Analyst Internship
Commercial Bank of Ethiopia
06.2022 - 08.2022
Marketing Internship
Ripple Match
02.2022 - 05.2022
Tech/Data Entry Internship
Hilton Hotel
06.2021 - 08.2021
Data Science Certification -
SpringBoard Academy
Computer Science -
Temple University
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