Hasib Shaif Email & Phone Number

New York, NY, US

• Selected as 1 of 35 to participate in year-long career and professional development program to hone hard and soft skills with industry professionals.
• Networked with professionals at top companies including Google, Amazon, Accenture, MUFG, and Deutsche Bank.
• Collaborated on technical projects with other TLDP students.

• Mentored 250+ students between CodePath's Technical Interview Prep (TIP 101) course and Intro To Web Development (WEB 101) course.
• Helped students hone their Python skills, solve LeetCode, understand data structures, create algorithms, become efficient in their problem-solving approach, and improve overall technical interview skills (TIP 101.
• Advised and provided feedback to students as they built their own web applications using HTML, CSS, JavaScript, and Bootstrap (WEB 101 - Fall 2024).
• Developed strong relationships with program participants to support their growth and development throughout the program.
• Collaborated closely with CodePath staff to support, assess, and improve the student learning experience.
• Served as CodePath’s point of contact at Baruch College, including assisting with student recruitment to enroll in CodePath programs.

• Efficiently managed a CUNY database of 600+ recent high school graduates, updating records with high school backgrounds, post-secondary goals, and college application progress.
• Provided personalized support across diverse post-secondary paths, including college, employment, trade school, and military service, through weekly outreach, virtual meetings, and social media flyers created in Canva.
• Offered resources and expert guidance on enrollment paperwork, financial aid, financial literacy, and college insights, assisting with fall class registration and ongoing support during students' first month in college.
• Helped 120+ high school graduates define their post-secondary plans while meticulously maintaining the CUNY database.

• Conducted detailed analyses and labeling of smart contract vulnerabilities, enhancing skills in data categorization and risk assessment.
• Validated peers' data labels to ensure accuracy and reliability of data sets.
• Proficiently honed skills in data manipulation and statistical tools to perform frequency and correlation analysis of risk tags, identifying prevalent vulnerabilities and their associations.
• Employed unsupervised machine learning techniques for cluster analysis, uncovering patterns among smart contracts to effectively profile risks.
• Demonstrated proficiency in SQL, Python, Excel, and Tableau to conduct complex data analysis, manipulation, and visualization to gain insights into smart contract vulnerabilities and risk profiles.

• Conducted in-depth market research using platforms like Crunchbase and applying generative AI tools for research and prompt engineering to evaluate early-stage start-ups in longevity tech to assess alignment with.
• Identified emerging market trends, evaluated the competitive landscape, and uncovered key opportunities for growth in the health and wellness sector.
• With due diligence, evaluated 10 different emerging startups and their potential for alignment with IgniteXL's interests.
• Designed an investment summary presenting key information for potential investors at IgniteXL.

• Proficiently edited and produced video segments using industry-standard software: Adobe Premiere Pro, Adobe After Effects, and DaVinci Resolve 17.
• Created Crash Course-style content for Finxerunt's YouTube channel, covering diverse socio-economic topics like nationalized healthcare and the global impact of COVID-19.
• Led and supervised video production efforts, while prioritizing guidance and assistance for team members new to video editing.

• Engaged in groundbreaking research initiatives for Finxerunt and Harvard University's International Socioeconomic Laboratory 2021 Fellowship.
• Conducted comprehensive research, gathered empirical data, and collaborated with a team of researchers under the supervision of a qualified principal investigator to write and publish a research paper.
• Focused on identifying inefficiencies within the MTA (Metropolitan Transportation Authority) and comparing it with other U.S. public transport systems from the most populous cities to shed light on optimization.
• Assessed optimality using self-created equations and advanced statistical analysis programs such as JASP for running ANOVA tests.
• Incorporated variables such as ridership, workforce size, aggregate commute times, snowfall, public transportation budget allocation, and per capita spending.

Bachelor'S Degree, Computer Science

‣ Dean's List Honors (5/30/2023, 9/22/2023, 1/19/2024) ‣ Technology Leadership Development Program (TLDP) 2024-2025 Cohort

International Baccalaureate Diploma