Vardhaman PanditVP
Looking for a job

Vardhaman Pandit

@vardhamanpandit

As a Machine Learning Intern, I'm passionate about leveraging data to drive insights.

India
Message

What I'm looking for

I am seeking a job in data science, I'm eager to join a dynamic team where I can apply my analytical skills to tackle real-world problems. I'm looking for opportunities to work with diverse datasets, collaborate with experts, and continuously learn and grow in a supportive environment.

A versatile data professional with a strong foundation in mathematics, programming, and statistical analysis. I can contribute to your team's success and innovation. My skills include data science, engineering, and analysis, enabling me to develop robust machine learning models, architect scalable data pipelines, and conduct exploratory analysis.

I have experience in data analysis using Pyspark, with a focus on understanding customer spending behaviour. I am skilled in generating insights and reports based on data analysis. I have also worked as a Digital Marketing Executive, handling social media and backlinking, as well as writing articles. I have a B.B.A(C.A.) degree from ICCS Pune, with relevant coursework in object-oriented programming, databases, data structures and algorithms, and more.

During my education, I have completed several projects, including Bank Loan Default Risk Analysis, Income Census Adult, Student Mark Predictor model with deployment, Medical Data History Report, and Mall-Customers. I have also earned awards and certificates in Data Engineering, Full Stack Data Science and AI, Google Data Analytics Professional, and AWS Snowflakes.

Experience

RU

Data Engineer Intern

RUBIXE

Importance of SQL optimization techniques for improving query performance. Significance of data validation and integrity checks in maintaining data quality. Strategies for handling null values and complex join operations effectively. Importance of error handling and performance tuning for database management. Understanding of security best practices for safeguarding sensitive data.

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