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Aniket G.

Data Analyst Enthusiast || ECE Graduate || SQL • Python • Data Visualization • Data Analytics • Statistics • SSMS • SSRS • Git & GitHub • LabVIEW • DSA • C++ || Turning Data Into Insights

Delhi

< 1 year of work experience

Evepaper
Nov 20254 mosFeb 2026

Remote

Exeliq Tech Solutions
Apr 20255 mosAug 2025

Noida, Uttar Pradesh, India

Developed and deployed APIs for seamless communication between LabVIEW applications and exter- nal databases. • Designed and implemented Functional Global Variables (FGVs) in LabVIEW to manage shared data, reducing redundancy. • Created modular subVIs for database operations (Insert, Update, Fetch), integrating them with Lab- VIEW user interfaces. • Tested, debugged, and optimized components for low-latency data access and reliable execution. • Improved data management efficiency through FGV implementation. • Enhanced application maintainability with modular subVIs. • Ensured low-latency data access and reliable application performance.

Education

ABES Engineering College

Bachelor of Technology - BTech, Electronic and communication

ABES Engineering College

20214 yrs2025
AVB Public School

Class 12th

AVB Public School

20201 yr2021

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Headline

Data Analyst Enthusiast || ECE Graduate || SQL • Python • Data Visualization • Data Analytics • Statistics • SSMS • SSRS • Git & GitHub • LabVIEW • DSA • C++ || Turning Data Into Insights

About

Data Analyst enthusiast and Electronics & Communication Engineering graduate with strong skills in SQL, Excel, Python, and Power BI and data-driven problem solving, with hands-on experience in both analytics projects and real-world software development. I have worked as a Junior Software Developer at Exeliq Tech Solutions, where I built REST APIs, designed optimized SQL queries, and developed LabVIEW-based modules that improved system performance, reduced latency, and enabled smooth data communication across applications. This experience strengthened my analytical thinking, database concepts, and ability to deliver reliable, scalable solutions in a real production environment. I have completed multiple data analytics projects, including Walmart Sales Analysis, HR Analytics Dashboard, and Blinkit Sales Insights, where I worked with large datasets, performed data cleaning, developed dashboards, visualized KPIs, and generated actionable insights. These projects helped me master Power BI, Excel (advanced), SQL Server, Pandas, and data storytelling. With additional exposure to IoT and embedded systems, including building a Bluetooth & voice-controlled robotic car, I bring a unique combination of analytical, software, and hardware understanding—making me adaptable across multidisciplinary roles. I enjoy exploring patterns in data, optimizing processes, and transforming complex information into simple, visual insights that support decision-making. I am currently looking for opportunities in Data Analytics, Business Intelligence, MIS Reporting, or SQL-based roles, where I can contribute through analysis, dashboards, automation, and continuous improvement. Skills: SQL • Excel (Advanced) • Power BI • Python • Pandas • SSMS • SSRS • BigQuery • AWS Athena • Data Cleaning • Data Visualization • ETL • Statistical Analysis • Database Design • API Development • LabVIEW • Git/GitHub I am eager to contribute to innovative projects in data analytics and software development, leveraging both technical expertise and a problem-solving mindset to drive impactful outcomes.

Location

Delhi

Work experience

Research Analyst at Evepaper, Nov 2025 - Feb 2026 · 4 mos, Remote

Junior Software Developer at Exeliq Tech Solutions, Apr 2025 - Aug 2025 · 5 mos, Noida, Uttar Pradesh, India, Developed and deployed APIs for seamless communication between LabVIEW applications and exter- nal databases. • Designed and implemented Functional Global Variables (FGVs) in LabVIEW to manage shared data, reducing redundancy. • Created modular subVIs for database operations (Insert, Update, Fetch), integrating them with Lab- VIEW user interfaces. • Tested, debugged, and optimized components for low-latency data access and reliable execution. • Improved data management efficiency through FGV implementation. • Enhanced application maintainability with modular subVIs. • Ensured low-latency data access and reliable application performance.

Education

Bachelor of Technology - BTech, Electronic and communication, ABES Engineering College

Class 12th, AVB Public School

Public links

github: https://github.com/Girianiket

Aniket G. - Research Analyst in Delhi | Tal