I'm Tarik. I turn fragmented data into trusted reporting, scalable pipelines, and clearer business decisions. My work sits at the intersection of data engineering, analytics, and business intelligence.
Integrate CRM, ERP and operational data into reliable pipelines and well-structured models that teams can depend on.
Bring clarity to KPI definitions, business logic and semantic models so everyone works from the same numbers.
Deliver Power BI dashboards and targeted analysis that connect operational details to business outcomes.
A containerized Python prototype exploring browser-based ingestion, message queues, PostgreSQL persistence and a Flask interface.
A 3×3 sliding-puzzle search exercise using Manhattan-distance heuristics and a priority queue.
Sound waveforms transformed into images for pretrained VGG19 feature extraction and linear SVM classification in Flask.
A playable Pygame application where a depth-limited minimax algorithm chooses moves using board heuristics.
Hands-on coursework exploring Keras, NLP, CNNs, LSTMs, clustering and dimensionality reduction.
Sensor experiments, Arduino, Raspberry Pi, Node-RED flows and connected-device integrations.
A Keras feed-forward neural network experiment comparing all available tabular features with a selected four-feature subset. Educational only, not clinically validated.
Lead analytics and reporting initiatives. Work with Microsoft Fabric, Lakehouse pipelines, CRM and ERP integrations, executive Power BI dashboards, and consistent KPI definitions across business functions.
Analyzed data to identify fraud patterns, built rule-based detection workflows and Tableau dashboards, and supported investigations with Python and SQL.
Worked with early-stage teams on data science challenges, exploratory models and practical applications of machine learning.
Worked with C and Unix programming concepts, APIs and development tasks as part of early technical training and experience.
Guided a group of 20 participants through collaborative STEM activities, encouraging creativity and hands-on problem solving. Built a positive, team-focused learning environment through clear communication, coaching and reliable follow-through.
Minor in Mathematics & Statistics
Dean's List × 4 · Chancellor's Nonresident Scholarship
“Tarik is a smart, hardworking and focused young man that takes initiative and uses his brain to think how he can add real value to the team and task at hand. His data science and machine learning skills came in handy at Forkaia where he helped a number of our Idea Lab startups get their data projects up and running.”
“I knew Tarik as a student before he worked with me at Camp Invention. He is always calm, friendly, and well spoken. Working with him at Camp Invention, I saw him in a different role and found him to be a good problem solver, extraordinarily patient, and an excellent team player. I highly recommend Tarik for any role utilizing his computer science knowledge, especially those that need someone who is easy to work with and a collaborative employee!”
“Tarik is an extremely capable and dedicated IT professionals. He has strong analytical and communication skills which are further enhanced by his solid technical background and his enthusiasm for learning. Tarik works extremely well with classmates, coworkers, and faculty, adapting the internet of things techniques in order to achieve the class milestones. I have known Tarik from last 4 months and I can say that he has a good personality. If he is given a task he will manage it in any condition before reaching me for help. I recommend Tarik for the jobs or positions that he is applying for. Should there be anything related to Tarik I will be happy to discuss it.”
“Tarik is hardworking and always willing to pick up and work on the newest technologies. In class, he demonstrates that he is an intelligent and attentive student with great potential. He is always willing to help other students finish their tasks. I was totally surprised by the quality work he submitted for the machine learning project he was working on.”