Nishigandha Pawar
@nishigandhapawar
Aspiring Data Analyst skilled in data visualization and machine learning.
What I'm looking for
I'm an aspiring Data Analyst with a strong foundation in data visualization, analytics, and machine learning. Currently pursuing a B.E. in Artificial Intelligence and Data Science, I have developed a passion for transforming raw data into actionable business insights. My hands-on experience includes building dashboards, predictive models, and data-driven reports using modern visualization tools.
During my internships at NeuAI Labs and Technogeeks, I honed my skills in Python, SQL, and various machine learning techniques. I successfully built and deployed a Random Forest-based ML model to predict movie box office revenue and developed end-to-end ML solutions, including model training and real-time deployment using Flask. I thrive in collaborative environments and am eager to contribute to enterprise-level analytics teams.
Experience
Work history, roles, and key accomplishments
AI/ML Intern
NeuAI Labs
Jan 2025 - Present (1 year 5 months)
Built and deployed a RandomForest-based ML model to predict movie box office revenue using IMDb dataset. Performed data preprocessing (missing value handling, encoding, scaling) and feature engineering.
Data Scientist Intern
TECHNOGEEKS
Jun 2024 - Present (2 years)
Completed hands-on and applied data analysis, preprocessing, and machine learning techniques on multiple real-world datasets. Built and evaluated classification and regression models using Python, Scikit-learn and related libraries.
Education
Degrees, certifications, and relevant coursework
Genba Sopanrao Moze COE(UniversityofPune)
B.E., Artificial Intelligence and Data Science
2023 -
Grade: CGPA-7
Pursuing a Bachelor of Engineering in Artificial Intelligence and Data Science. The curriculum covers fundamental and advanced topics in AI, data analytics, and machine learning, with a current CGPA of 7.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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