Name: Jenish Vekariya

Job Role: Data Analyst

Address: Hatfield, Pennsylvania

Skills

SQL 75%
PYTHON 70%
Data Visualization 90%
Statistical Analysis 60%
Machine Learning 80%

About

About Me

I come from a background in data analysis and software engineering, with hands-on experience in healthcare analytics and reporting. Most recently, I've been working as a Data Processing Specialist at HCLTech, where I manage pharmaceutical patient data and help leadership to make more meaningful decisions for our program. Besides this, I also did my internship as a Data Analyst at a start-up, where I worked on two major projects—one with the marketing team to analyze customer engagement, and another involving accident data analysis to identify trends and improve safety outcomes. These experiences sharpened my ability to turn raw, messy data into insights that drive action.

  • Profile: Data Science & Analytics
  • Domain: Retail, Ecommerce, BFSI & Digital Marketing
  • Education: Master of Science in Data Science
  • University: University of the Pacific, San Francisco campus
  • Language: English, Hindi, Gujrati
  • BI Tools: Microsoft Power BI & Tableau
  • Other Skills: React, HTML, CSS, Excel, Git, Firebase, Google Analytics & SEO

0 +   Projects completed

LinkedIn

Resume

Resume

As an aspiring Data Analyst, I bring a passion for leveraging data to drive business decisions. With a solid foundation in statistical analysis and programming, I am eager to contribute to dynamic teams and expand my expertise in data science methodologies.

Experience


Oct 2024 - Present

Consultant - Data Processing Specialist

HCLTech
  • Utilized Oracle Database and Mercalis data tools to extract, analyze, and interpret patient data, identifying trends to support clinical insights and decision-making.
  • Developed and maintained comprehensive data dashboards that tracked key performance indicators across 7,000+ monthly patient records with 99.7% accuracy.
  • Collaborated with cross-functional healthcare teams to translate complex patient data into actionable insights, directly supporting treatment optimization. Utilized advanced Excel functions to clean, normalize, and prepare data for comprehensive health research analytics.
  • Designed and implemented data validation protocols that ensured HIPAA compliance while enhancing data reliability by 28%. Interpreted complex healthcare metrics to produce 20+ monthly analytical reports, translating technical findings into clear business recommendations.
June 2024 - Aug 2024

Data Scientist Intern

247ERICPOINTCOM
  • Analyzed user survey data to identify trends and provide recommendations that improved customer communication processes. Assisted in database schema optimization and indexing to improve SQL query performance.
  • Developed and maintained 5+ interactive Power BI dashboards and reports for marketing and engagement analytics.
  • Wrote, tested, and deployed complex SQL queries and stored procedures to support data analysis.
  • Performed data cleaning, data wrangling, and data preprocessing using SQL and Excel to ensure data accuracy.
Mar 2024 - April 2024

Data Analyst Extern

Webacy Inc.
  • Synthesized research findings to create a strategic market map, culminating in the recommendation of cutting-edge blockchain solutions tailored to enhance company competitiveness in the digital landscape.
  • Conduct a comprehensive analysis of non-mainstream competitors in the Web3 security space.
July 2022 - June 2023

Software Engineer

Rutilant Technology

Implemented strategic SEO optimizations for a client's website, resulting in a remarkable 40% surge in organic traffic.

  • Engineered a web platform that increased user visits by 30% over 3 months, enhancing user engagement and retention.
  • Developed three highly responsive websites within six months, resulting in a 19.22% increase in online sales revenue.
  • Led a project that improved website loading time from 10s to 1s in 3 months, reducing bounce rate by 55%.
  • Participated in backend production support by leveraging MySQL and MongoDB databases.

Certifications


October 2024

Third Place Winner at National Student Data Corps 2024 Data Science Symposium

National Student Data Crops

3rd Place Winner at the 2024 NSDC Data Science Symposium for research on compliance and machine learning to predict medication adherence in patients.

October 2023

Data Analytics and Visualization Job Simulation

Accenture North America

Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture

  • Cleaned, modeled, and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions
  • Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders

October 2023

Data Analytics Consulting Virtual Internship

KPMG

Completed a simulation focused on advising a client on customer targeting with the Data, Analytics, and Modelling team.

  • Assessed data quality and completeness in preparation for analysis. Data to target high-value customers based on demographics and attributes.
  • Developed dashboards to communicate findings with visuals.



Education


2023-2025

Master of Science in Data Science

University of the Pacific, San Francisco

Current Grade: 3.6

2019-2022

Bachelor of Computer Application

Gujarat University

Grade: First class distinction.

Projects

Projects

Below are the sample Data Analytics projects on SQL, Python, Power BI & ML.

Indian Agriculture Crop Prediction using Python

The main goal of this research project is to examine the data, on crop production in districts of India from 1997 to 2021.

Walmart Sales Data Analysis using Tableau

This project aims to explore Walmart Sales data to understand top-performing branches and products, sales trends of different products, and customer behavior. The aim is to study how sales strategies can be improved.

Power BI Sales dashboard Project

Welcome to the "Super Store Sales Dashboard" project, a dynamic platform that brings together sales data from various categories, regions, and time periods to provide a holistic view of our superstore's performance.


Black Friday Data Analysis using Python

A retail company “XYZ Private Limited” wants to understand the customer purchase behaviour (specifically, purchase amount) against various products of different categories.

Loan Eligibility Prediction using Supervised Machine Learning

DMy goal is to submit a report to my client, who is a bank manager. This report should help them efficiently decide whether to approve an application or not in a short amount of time.

Netflix Clone using ReactJS

This app features user authentication with firebase as well as the firestore cloud storage database. This application is pulling movie data from an the IMDB movie API and displaying different categories.

0 + Achievements
0 + Projects

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Hatfield, Pennsylvania

Email Address

j_vekariya@u.pacific.edu

Download Resume

link



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