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Registration: 18.09.2025

Rohan Parekh

Specialization: AI-Oriented Analyst
— AI-Oriented Analyst (Entry-Level) with proven Sklearn / PyTorch / TensorFlow skills, AWS-certified (AI Practitioner), and experience utilizing/tuning LLMs with HuggingFace, Langchain and Ollama. — Adept at explaining results to any audience and iterating fast in cross-functional teams.
Computer Vision SQL Python SciPy AWS Matplotlib Deep Learning PyTorch Power BI Data scraping scikit-learn Cloud computing LLM Microsoft Office Python Natural language processing QA R Tensorflow PostgreSQL pandas Data Analysis
— AI-Oriented Analyst (Entry-Level) with proven Sklearn / PyTorch / TensorFlow skills, AWS-certified (AI Practitioner), and experience utilizing/tuning LLMs with HuggingFace, Langchain and Ollama. — Adept at explaining results to any audience and iterating fast in cross-functional teams.
Computer Vision SQL Python SciPy AWS Matplotlib Deep Learning PyTorch Power BI Data scraping scikit-learn Cloud computing LLM Microsoft Office Python Natural language processing QA R Tensorflow PostgreSQL pandas Data Analysis

Skills

Python
SQL
PostgreSQL
BigQuery
Power BI
Microsoft Office
R
Data Scraping
Data Preprocessing
Data Validation
QA
LLM
Computer Vision
Natural Language Processing
Regression modeling
Dashboard Development
Insight presentations
Pandas
Matplotlib
PyTorch
TensorFlow
Scikit-Learn
SciPy
HuggingFace
Data Analysis
Cloud computing

Work experience

IT Intern
06.2023 - 08.2023 |Lavner Education
Java, Python, Lua, Quality Control, Data Analysis, Microsoft Word, Microsoft Office
● Utilized Java, Python, and Lua to conduct instructional sessions for various IT/STEM courses, thoroughly covering curricula in robotics, programming, and game development.
Frontend Associate
since 11.2024 - Till the present day |Wegmans
Data Analysis, Microsoft Word, Microsoft Office
● Reconciled weekly POS extracts against warehouse catalog with 98% item-level accuracy, surfacing $2.4K in pricing variances and feeding cleaner data into monthly P&L forecasts. ● Managed the high-volume catering desk (≈ 20 orders/day): ticketed large corporate and holiday events, coordinated pick-up scheduling, and cut wait times 15% during peak periods.

Educational background

Information Sciences (Bachelor’s Degree)
Till 2023
University of Maryland, College Park

Languages

EnglishProficient