Experience

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  Kean university

  Jun 2021 - Aug 2021

  Research intern

  ○ Directed a project analyzing COVID-19 vaccination rates using machine learning algorithms (LR, Lasso, Ridge, ElasticNet, DTR, SVR, KNR, RFR and GBR). Utilized machine learning analytics to identify characteristics of communities with lower vaccination rates, providing valuable insights: Medical history and disease susceptibility, Wealth and education, Families with children, and Co-living populations explain an impressive 67% of variation in unvaccinated counts among ZIP codes of California.

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  Indiana university bloomington

  May 2022 - Aug 2022

  Data science intern

  ○ Organized and cleaned federal university data, enhancing data accuracy and usability.○ Successfully migrated the university’s databases from Denodo to MS SQL Server, transferring functions, operations, views, aggregations and tables, documenting each step using Python. This documentation was later given to the new organization in charge of Carnegie Classifications, the American Council on Education for better visualization and understanding of classifications.○ Conducted PCA analysis on Carnegie Classifications, identifying critical factors for R1 and R2 institutions. We also presented the categorical changes of Universities and their categories in flows using Sankey Diagrams Show less

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  Mr. cooper

  Jun 2023 - Oct 2023

  Machine learning engineer

  ○ Developed interactive data visualizations for cost distributions using APIs, enhancing the usability of cloud cluster monitoring for the data engineering team. Integrated these visualizations into a full-stack website built with Flask, MongoDB, JavaScript, HTML, and CSS, improving user accessibility and insights into data usage. ○ Analyzed and interpolated data from cluster usage and spending, identifying inefficiencies and estimating an annual cost savings of approximately $10,000 by optimizing cluster operations. Developed an automated alert system to notify the data engineering team of long-running clusters, leading to more efficient resource management. ○ Contributed to the development of scalable data pipelines that ingested large volumes of data from Kafka Topics, processed it using Azure Databricks, and stored results in Google Cloud Storage (GCS). This streamlined data processing workflow supported real-time decision-making and analytics. ○ Deployed and managed Docker images of the web application using Azure pipelines and Kubernetes, ensuring a robust and scalable deployment process. This enhanced the application’s performance and reliability, aligning with best practices in software development and deployment. Show less

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  Kean university

  Nov 2023 - Nov 2024

  ○ Newly appointed role focusing on the use of high-performance computing (HPC) to manage and optimize software solutions for bioinformatics applications.○ Responsibilities include configuring and maintaining software environments tailored for bioinformatics research, ensuring high levels of computational efficiency and data processing capabilities.○ Collaborate with academic and research staff to develop and implement new software tools that enhance the capabilities of bioinformaticians in data analysis and research. Show less ○ Developed and launched a full-stack Flask-based educational application tailored for stock market enthusiasts, featuring interactive tools for stock analysis, educational resources, and secure user authentication. The application also includes a financial news article summarizer using a BART transformer, and a forecasting tool integrating an LSTM-transformer with sentiment analysis based on 4 API calls, aimed at predicting stock trends. Explore the application (without ML models) at vasemili.pythonanywhere.com.○ Thoroughly tested and implemented several machine learning algorithms for stock market forecasting, with a particular focus on LSTM-transformers, achieving an R2 score of 0.9338 and MAE of 0.0108 for a 5-day forecast on average across 10 different companies’ datasets. Enhanced forecasting accuracy through Federated Learning and sentiment analysis using NewsAPI and the FineBERT model.○ Pioneered the development of an automatic tradebot by integrating advanced trading techniques with transformerbased algorithms, substantially enhancing trading strategies and decision-making processes in real-time financial markets. Show less

  • Structural Bioinformatics Specialist

    May 2024 - Nov 2024

  • Academic Specialist

    Nov 2023 - May 2024
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  Ucnj union college of union county, nj

  Sept 2024 - now

  Data science specialist

  ○ Designed and taught courses in Java, Data Science, Databases, and Mathematics, improving curriculum and engagement.○ Led the development of a starter CST course, designing a computing fundamentals curriculum for non-STEM majors.○ Established and managed the Cybersecurity Center, mentoring students and organizing hands-on learning initiatives.○ Conducted MAT-119 curriculum analysis, improving student retention and pass rates by 24% and retention rate by nearly 35% through strategic adjustments.○ Revamped the Database Management course, implementing a MariaDB instance for hands-on SQL training.○ Executed industry outreach, facilitating internships and industry collaborations for students.○ Promoted to chairman of the Data Science and C.S. Committee for leadership in curriculum and internship development.○ Discovered and reported a critical security misconfiguration, which granted unintended administrative access to system files and user directories. Proactively engaged IT to mitigate the risk, preventing potential unauthorized access and enhancing institutional cybersecurity awareness. Show less