Aditya Gadilkar

Mumbai, India 0+ yrs exp 66 · Good

About

No bio added yet

Skills & Expertise (36)

Power BI Intermediate

6.5/10

Years Exp

Python Intermediate

6.5/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

Data Annotation Intermediate

6.0/10

Years Exp

Analytical Thinking Intermediate

6.0/10

Years Exp

Problem Solving Intermediate

6.0/10

Years Exp

Data Visualization Intermediate

6.0/10

Years Exp

Data Cleaning Intermediate

5.5/10

Years Exp

Microsoft Excel Intermediate

5.5/10

Years Exp

Machine Learning Intermediate

5.5/10

Years Exp

Communication Attention to Detail Cross-Functional Collaboration Time management Business Intelligence Quality assurance Model Evaluation Data Preprocessing Feature Engineering Statistical Analysis EDA Microsoft Office Git Visual Studio Code Jupyter Notebook MySql Matplotlib NumPy Pandas scikit-learn Prompt Evaluation Generative AI LLMs Data Modeling DAX Power Query

Work Experience

Analyst – AI/LLM Practice

Innodata

Apr 2026 - Jul 2026

Evaluated and reviewed AI-generated content to improve the accuracy, quality, and safety of Large Language Models (LLMs). Performed data annotation, prompt-response evaluation, and entity reference verification while adhering to quality standards and project guidelines. Collaborated with cross-functional teams to deliver high-quality training data that supports the development and refinement of Generative AI systems.

Data Visualization Intern

Infosys Springboard

Oct 2025 - Dec 2025

Developed an end-to-end Power BI solution for hotel revenue analytics by designing a star schema, transforming data, and building interactive dashboards. Analyzed key business KPIs including Occupancy Rate, ADR, and RevPAR, along with customer segmentation, booking trends, and forecasting insights. Collaborated with a cross-functional team to deliver data-driven visualizations and actionable business insights for revenue management and decision-making.

Artificial Intelligence Intern

SmartInternz

Mar 2024 - May 2024

Developed a predictive ML model and automated reporting pipeline, simulating marketing-style campaign performance tracking. Conducted data preprocessing, feature engineering, and model evaluation, ensuring high-quality analytical insights. Designed a Flask-based web app to present real-time predictions, improving data-driven decision visibility.