Nidhi Nambiar

About Me

👋 Hi there! I’m a data enthusiast with a strong foundation in analytics, business systems, and product strategy. With over 3 years of experience in data-centric roles, I specialize in transforming complex datasets into actionable insights that drive strategic decision-making and measurable outcomes.

🎓 I hold a Master’s degree in Information Management from the University of Maryland, College Park, where I served as a Graduate Teaching Assistant for courses in Databases, Data Science, and Statistics. I was also the Treasurer of the MIM Student Association, helping lead student engagement initiatives.

💼 Currently, I’m a Business Systems Analyst at TargetGov, where I streamline sales operations using Salesforce automation, build predictive lead scoring models, and design visual dashboards that inform business strategy. Previously, I worked at Accenture as a Data Analyst, supporting AT&T’s Wireless Team by building scalable data pipelines, optimizing reporting workflows, and integrating systems via MuleSoft.

💡 Whether it’s developing machine learning models, optimizing CRM workflows, or revamping BI dashboards, I’m passionate about solving business problems through data. I combine technical skills with business acumen to deliver high-impact, data-driven solutions.

Welcome to my portfolio! Feel free to explore my projects and connect with me on this journey through the world of data and analytics.

Skills

Languages & Libraries:
Java, SQL, Python (NumPy, Pandas, Matplotlib, PyTorch), R (dplyr, ggplot2), HTML, CSS, Javascript

Databases:
MySQL, Oracle, Microsoft SQL Server, PostgreSQL, MongoDB

Data Techniques:
Exploratory Data Analysis, Hypothesis Testing, A/B Testing, Web Scraping, Data Mining, Data Warehousing, Descriptive Analysis, Regression Analysis, Classification & Clustering Algorithms, Time Series Analysis

Platforms & Tools:
Jupyter Notebook, Tableau, Power BI, Qlik, MS Excel, Salesforce CRM, AWS, GCP, DBT, Snowflake, SAS

Certifications:
Salesforce Certified Administrator, AWS Solutions Architect-Associate, Python for Everybody, IBM Data Science Certification, Google Analytics

Resume

Summary

Dedicated and versatile professional with a passion for extracting actionable insights from data. Seeking full-time opportunities to contribute expertise in data analysis, business intelligence, and engineering to drive innovation and efficiency in a dynamic organization.

Education

Master of Information Management (Specializing in Data Science & Analytics)

2022 - 2024

University of Maryland, College Park, MD

Extra Curriculam: Graduate Teaching Assistant, Treasurer of MIM Student Association Club, GHC Scholar for Women in Tech(2023)

Coursework: Database Design, Intro to Data Science, Natural Language Processing, Data Integration & Analytics, Big Data, Management Concepts & Principles, Data Analytics for Information Professionals, Data Visualization

Bachelor of Engineering in Electronics and Telecommunication

2016 - 2020

University of Pune, MH, India

Coursework: Object Oriented Programming, Data Structures and Algorithms, System Programming and Operating Systems, Computer Networks and Security, Information Theory, Machine Learning, Digital Image Processing

Professional Experience

Business Systems Analyst (Sales Strategy & Operations)

June, 2024 - Present

TargetGov, Baltimore, MD

Leveraged Salesforce, data analytics, and automation to support cross-functional teams by streamlining reporting processes, delivering actionable dashboards, implementing CRM data governance practices, and optimizing lead management and outreach strategies

Business Systems Analyst Intern

May, 2023 - Aug, 2023

TargetGov, Baltimore, MD

As an intern, led efforts to identify and automate workflow gaps, improving sales and marketing processes to make performance tracking easier and support more targeted, data-driven campaigns.

Software Engineering Analyst / Data Analyst

Aug, 2020 - Jul, 2022

Accenture, Pune, India

Led end-to-end software engineering and analytics efforts for AT&T’s Wireless Team by building scalable data pipelines, developing interactive dashboards, optimizing database performance, migrating Java microservices to Salesforce using MuleSoft, managing automated deployments, and collaborating with stakeholders to deliver business-aligned solutions.