Neeraj Kurup

Data Analyst

Mumbai, Maharashtra, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed a sales forecasting model improving accuracy by 20%.
Skilled in Python, SQL, and Machine Learning.
Passionate about leveraging data for business growth.

Stackforce AI infers this person is a Data Analyst with expertise in Machine Learning and Business Analytics.

Contact

Skills

Core Skills

Data AnalysisMachine Learning

Other Skills

Linear RegressionRandom Forest RegressionPandasNumPyCommunicationAnalytical SkillsPredictive ModelingVisualizationMatplotlibExploratory Data AnalysisAnalyticsStructured AnalysisProcess DesignExtract, Transform, Load (ETL)Databases

About

🚀 Data Enthusiast | Machine Learning | Business & Performance Analytics ● Currently working as an Data Analyst Apprentice at Google ● Ex Trainee IT and Test Intern at Collins Aerospace. ● Ex Performance Analyst Intern at Stepout. ● Ex Data Analyst Intern at Acmegrade Pvt Ltd, developed a sales forecasting model that improved prediction accuracy and reduced preprocessing time by 20%. ● Skilled in Python, SQL, Power BI, OpenCV, Machine Learning, and Data Visualization. ● Passionate about leveraging data analytics to drive business growth and solve real-world challenges. ● Open to opportunities in Data Analytics, Business Intelligence, and Machine learning.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Google

Data Analyst Apprentice

Apr 2026 – Present · 2 mos · Bengaluru East · Hybrid

Collins aerospace

Testing Support Intern at NMIA (UAT/SIT/MIT)

Jun 2025 – Aug 2025 · 2 mos · Navi Mumbai, Maharashtra, India · On-site

Provided test support for multiple IT systems under the MSI team during SAT, UAT, and MIT phases at Navi Mumbai International Airport.
Worked on both IB (Information Broker) and non-IB systems, ensuring system functionality and integration readiness.
Configured and validated FIDS and FBLB systems, with hands-on exposure to AODB and its role in centralizing and distributing airport operational data.

Stepout

Performance Analyst Intern

Feb 2025 – Mar 2025 · 1 mo

Acmegrade

Data Analyst Intern

Feb 2024 – Mar 2025 · 1 yr 1 mo · Remote

Developed a sales forecasting model with Linear Regression and Random Forest Regression improving prediction accuracy and reducing preprocessing time by 20 percent.
Utilized Pandas and NumPy for efficient data preprocessing, reducing pipeline execution time and accelerating model development.

Linear RegressionRandom Forest RegressionPandasNumPyData AnalysisMachine Learning