Data Analyst Entry Level

Vedant Shah

+1-551-***-**** ******.*******@*****.*** linkedin.com/in/vedant-shah-dataanalyst github.com/VedantShah26 Summary

Analytical and data-driven Data Analyst with expertise in leveraging AI, Natural Language Processing, and data visualization to drive business decisions. Proven ability to work with Large Language Models (LLMs), refine prompts, and engineer ETL processes to extract meaningful insights from complex datasets. A collaborative and strategic analyst skilled in creating compelling dashboards and reports that translate data into actionable strategies for stakeholders. Actively seeking a role where I can apply my skills in AI analysis and data storytelling to enhance customer experience and operational efficiency. Technical Skills

Languages: Python, R, SQL, HTML, CSS, JavaScript, Java, C AI/ML/NLP: LangChain, Hugging Face, Scikit-Learn, TensorFlow, spaCy, NLTK, Prompt Engineering Databases: MySQL, PL/SQL, SQLite, Databricks, Snowflake, PySpark, Redis, Neo4j Cloud: Microsoft Azure, Google Cloud Platform

Tools: Power BI, Tableau, Looker, Excel, SAS, Google Analytics, Docker, Git Experience

ONTRACKNORTHAMERICA Feb 2025 – Present

Data Analyst Philadelphia, PA

– Automated ETL pipelines using Python, SQL, and PySpark, reducing weekly processing time from 10 to 3 hours.

– Unified logistics data from multiple sources into Snowflake, accelerating compliance reporting from 3 days to 1.

– Built interactive Power BI dashboards to track emissions, shipment delays, and policy KPIs, contributing to a 20% ROI increase.

– Analyzed supply chain data to identify inefficiencies, reducing cycle times by 30% via data-driven recommendations.

– Partnered with policy analysts and transportation planners to align data initiatives with broader operational goals. CSS CORP PVT LTD Jun 2021 – Jul 2022

Data Analyst Chennai, India

– Optimized SQL stored procedures in MySQL, increasing data pipeline efficiency by 40%.

– Created a rules-based audit framework that boosted data integrity by 15% and saved over 10 hours of manual work weekly.

– Conducted A/B testing analysis with Python, formulating hypotheses and interpreting results to improve product retention by 20%.

– Designed real-time Tableau dashboards for UX and engineering KPIs, enabling executive decision-making.

– Collaborated closely with QA and development teams to implement automated quality checks, ensuring 98% data accuracy. Projects

E-Commerce Customer Analytics Python, SQL, Scikit-Learn, Matplotlib, Seaborn 2024

– Processed and engineered features from over 1M records to build robust models for customer segmentation and demand forecasting.

– Clustered users via K-Means using RFM analysis to improve marketing personalization and campaign effectiveness. EHR Data Visualization Excel, Python, Redis, ODBC Driver, Power BI 2024

– Integrated UX principles to design dynamic, intuitive Power BI dashboards for 100K+ electronic health records, enabling real-time KPI tracking for clinicians.

– Trained predictive models to assess cardiovascular risk with 88% accuracy, providing actionable insights for preventative care. Multilingual Chatbot using RAG Streamlit, FAISS, LangChain, Hugging Face, Google Gemini AI 2024

– Engineered an LLM-based chatbot leveraging LangChain and Google Gemini AI for advanced multilingual Q&A, achieving 97% translation accuracy.

– Applied advanced Natural Language Processing techniques and HNSW indexing with FAISS to optimize data retrieval speed by 40%.

– Refined prompts and utilized BERT-based tokenization strategies to ensure 92% context consistency in automated insight generation. Education

Rowan University Jan 2023 – Dec 2024

Master of Science in Data Science Glassboro, NJ

Jain University Jul 2018 – Jul 2022

B.Tech in Computer Science and System Engineering (IoT) Bangalore, India Certifications

Cisco: Data Analytics Essentials

IBM: Python for Data Science

Neo4j Graph: Certified Professional

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