Available to hire
Hi there! I’m Ridwan Alamridwan, an innovative AI specialist with 4 years of specialized experience in advanced analytics, machine learning, and statistical modeling, plus over 9 years of overall professional expertise. I’ve delivered impactful solutions across technology, insurance, renewables, transportation, and blockchain. I excel at leading cross-functional teams and translating complex data into strategic business outcomes. I’m passionate about building scalable AI and data-driven tools, from cryptocurrency analytics to large-scale energy-efficiency projects.
Skills
Experience Level
Expert
Expert
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Intermediate
Language
English
Fluent
Work Experience
Creator & Host at Bitcoinomics21 Podcast
July 1, 2025 - PresentTranslate technical Bitcoin, cryptocurrency, and economics mechanics into educational content for a lay audience; present insights on global economic trends to foster financial literacy; execute a multi-weekly publishing schedule, handling research, recording, and post-production; interview subject-matter experts and industry leaders; build an active presence across Spotify, YouTube, Substack, and Twitter.
Stealth Startup Data Scientist at DigiLabsAI
July 1, 2025 - PresentCreated AI platform to collect and process posts from Twitter and BlueSky; performed sentiment analysis and topic modeling to extract insights; structured results in a Supabase database by linking raw posts with derived NLP data; architected document comparison features on a Python web app; contributed to data architecture and documentation.
Contributor at Hyperloop TT
May 1, 2021 - January 1, 2023Engaged with US public and private sector clients; articulated the economic advantages of hyperloop technology; established professional relationships with the Port of Virginia and Virginia Passenger and Rail Authority; contributed to feasibility studies and policy research for hyperloop initiatives.
Senior Data Scientist at The General Car Insurance
June 1, 2021 - April 1, 2024Developed a Logistic Regression model for lead transfers, contributing to increased sales and profitability; deployed Real-Time Biddering Generalized Linear Model (GLM) with a Poisson distribution, increasing CTR by 80% and reducing CAC by 47%; boosted revenue/spend by 91% by strategically optimizing lifetime value (LTV) and advertising campaigns; built data visualizations and dashboards; performed SQL querying in Snowflake and BigQuery; mentored teammates.
Energy Engineer at Ingersoll Rand
July 1, 2012 - August 1, 2016Conducted 180 energy studies across North America, resulting in $2.5 million in cost savings; expanded client relationships and achieved high accreditation as Air Master from the US DOE; translated technical solutions for non-technical stakeholders; led performance verification and data analytics improvements.
Energy Engineer at Aramark
July 1, 2012 - August 1, 2016Conducted energy assessments at Queens College to ensure adherence to NYC Local Law 87; developed Excel macros, boosting data analysis efficiency by 98%; tested temperature, air flow, static pressure, and motor performance for energy optimization.
Commercial Project Developer at Bright Power
October 1, 2018 - January 1, 2019Secured over $1,000,000 in new solar contracts with affordable housing clients; developed LIHTC financing options and energy-efficiency proposals; led project development processes from concept to procurement.
Commercial Project Developer at Aramark
October 1, 2017 - April 1, 2018Directed energy efficiency initiatives including energy assessments and optimization projects for facilities.
Education
Bachelor of Science, Industrial Engineering at Virginia Tech
January 11, 2030 - January 7, 2026Qualifications
Air Master Accreditation, US Department of Energy
January 11, 2030 - January 7, 2026Industry Experience
Software & Internet, Financial Services, Energy & Utilities, Transportation & Logistics, Media & Entertainment, Professional Services, Other
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Intermediate
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