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Nehal Maheshwari

@nehalmaheshwari

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Data Analyst focused on turning SQL and Python insights into clear business reporting and dashboards.

India

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What I'm looking for

I’m looking for a data-focused role where I can use SQL, Python, and Power BI to deliver actionable insights, grow in machine learning, and build reliable dashboards and analytics that drive better decisions.

I’m a Data Analyst Intern who uses SQL and Python to clean, analyze, and extract insights from business datasets. In my current role, I build analysis-ready queries with joins, aggregations, filtering, and grouping, and I run exploratory data analysis with Pandas and NumPy.

I also enjoy translating data and computer vision into real outcomes—like my real-time emotion detection project using a CNN with OpenCV, and my work-in-progress doomscroll prevention AI using facial landmarks and head pose estimation. I bring strong technical foundations across machine learning, visualization, and engineering tools, and I’m driven by creating practical, user-facing results.

Experience

Work history, roles, and key accomplishments

DataAnalyst Intern

BondDigitally

Dec 2025 - Mar 2026 (3 months)

Used SQL and Python to clean and analyze business datasets, developing queries for reporting and exploratory data analysis. Built basic dashboards and visualizations in Power BI to support business reporting.

SQL Python Data Cleaning Filtering Pandas NumPy Power BI Data Visualization

Education

Degrees, certifications, and relevant coursework

Acropolis Institute of Technology and Research

Bachelor of Technology, Information Technology

2023 -

Grade: 7.80

Activities and societies: Relevant coursework: Operating Systems; Data Structures & Analysis of Algorithms; Artificial Intelligence; Machine Learning; Networking; Databases.

Pursuing a Bachelor of Technology in Information Technology at Acropolis Institute of Technology and Research. GPA is 7.80 with coursework including Operating Systems, Data Structures & Analysis of Algorithms, Artificial Intelligence, Machine Learning, Networking, and Databases.