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Data Analyst Machine Learning

Location:
Woodbridge, NJ
Posted:
March 12, 2025

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Resume:

Dhruvi Patel

Data Analyst

***********@*****.*** +1-732-***-**** Woodbridge, New Jersey

SUMMARY

● Data Analyst with 3+ years of experience in data analysis, visualization, and machine learning, with a strong foundation in

Python, R, and SQL to drive data-informed decision-making.

● Familiar with Agile methodologies (SDLC, Scrum) and version control with Git/GitHub, ensuring structured workflows and

collaborative teamwork.

● Proficient in data cleaning, transformation, and wrangling using Pandas and NumPy, ensuring data accuracy and integrity for

reliable analytics.

● Skilled in creating interactive dashboards and compelling visualizations in Tableau, Power BI, and Excel, enabling clear

communication of complex insights to stakeholders.

● Competent in big data processing and ETL operations using PySpark and AWS (S3, RDS, Glue) to efficiently manage and

process large-scale datasets.

● Advanced SQL skills with MySQL, SQL Server, and PostgreSQL, facilitating efficient data querying, analysis, and management

for business intelligence.

● Known for strong critical thinking, problem-solving, and presentation skills, with a proven ability to deliver actionable

insights and support strategic goals.

EXPERIENCE

Principal Financial Group, NJ - USA August 2024 to Present

Data Analyst

● Collaborated within an Agile environment, participating in Scrum meetings to maintain project timelines and enhance workflow

efficiency.

● Analyzed datasets using Python and SQL to uncover actionable insights, improving data accuracy and supporting team projects.

● Interpreted data trends and created dashboards using Power BI for key performance indicators to assist decision-makers.

● Utilized in tandem for efficient data manipulation and analysis NumPy’s powerful array processing supports the numerical

computations needed for large datasets, while Pandas enables structured data handling through data cleaning, transformation,

and aggregation.

● Cleansed and preprocessed data from MySQL and PostgreSQL databases, ensuring high data integrity.

● Synthesized and presented insights to cross-functional teams, using Excel and Python to provide data support for strategic

initiatives.

● Automated weekly data reports, reducing manual reporting time by {25%} and enabling faster data distribution to stakeholders.

● Built and maintained data pipelines using AWS Glue and RDS, automating recurring reports to increase team productivity.

● Supported the marketing team by delivering accurate, timely insights, contributing to an overall improvement in client

engagement strategies.

Principal Financial Group, PA - USA June 2017 to June 2020

Data Analyst

● Extracted and transformed large datasets using SQL and Python, supporting critical analysis for operational and financial

reporting.

● Developed interactive dashboards in Tableau to facilitate data-driven decision-making across departments.

● Leveraged for comprehensive data visualization Matplotlib offers flexibility for creating detailed, static or animated

visualizations, while ggplot2 (inspired by R’s ggplot) is ideal for layered, multi-faceted charts, making it easier to interpret

complex data patterns during analysis.

● Combined for rapid data analysis and basic visualization SQL extracts and pre-processes large datasets and Excel provides

flexibility for pivot tables, basic charts, and data manipulation, ideal for quick exploratory analysis and ad hoc reporting.

● Modeled data for forecasting, achieving a {15%} increase in prediction accuracy and providing insights that improved sales

projections by {20%}.

● Conducted data wrangling and data cleaning operations to improve overall data quality and database efficiency.

● Collaborated with stakeholders to align data deliverables with business goals, enabling a seamless transition to data-driven

processes.

Spectrum Webapps, GUJ - IND Jan 2016 to July 2016

Data Analytics Intern

● Assisted in extracting and transforming datasets using SQL to support operational and financial analysis.

● Created basic visualizations and reports in Excel to generate quick insights for ad hoc requests.

● Contributed to the development of interactive Tableau dashboards, aiding departments in making data-driven decisions.

● Performed initial data cleaning and wrangling to improve data quality for analysis.

● Helped collect and organize data to streamline data entry and storage processes.

● Supported team efforts by preparing documentation for data processes and analytics projects.

● Collaborated with team members to ensure data deliverables aligned with business objectives.

● Assisted in preparing summary reports to share key insights with stakeholders, enhancing data-driven practices.

SKILLS

Methodologies : SDLC (Agile, Scrum)

Languages : Python, R, SQL

IDEs : Visual Studio Code, PyCharm, Jupyter Notebook

Python Packages : NumPy, Pandas, Matplotlib, SciPy, ggplot2, Scikit learn, PySpark, Keras, TensorFlow

Visualization Tools : Tableau, Power BI, Microsoft Excel

Database : MySQL, SQL Server, Mongo DB, PostgreSQL

Cloud Technologies : AWS (S3, RDS, Glue)

Other Skills & Tools : Data Cleaning, Data Wrangling, Critical Thinking, Presentation Skills, Problem-Solving

Version Control Tools : Git, GitHub

Operating System : Windows, macOS

EDUCATION

Master of Science in Information Technology University of the Potomac Virginia Campus - Falls Church, VA

Bachelor of Engineering in Electronics and Communication Gujarat Technological University, Ahmedabad - GJ



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