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Aakriti Nag

@aakritinag

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Data Scientist with a passion for machine learning and data analysis.

India

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What I'm looking for

Seeking a challenging role that leverages my data science skills to drive business growth and optimize marketing strategies, with a focus on machine learning, data analysis, and visualization.

I am a highly motivated and detail-oriented data scientist with a strong background in machine learning, data analysis, and visualization. With a Master's degree in Data Science from the University of Southern California and a Bachelor's degree in Computer Science and Engineering from S.R.M Institute of Science and Technology, I possess a solid foundation in programming languages, data modeling, and analytics software.

Throughout my professional experience, I have demonstrated strong analytical and problem-solving skills, collaborating with cross-functional teams to translate business questions into robust data analysis. I have a proven track record of developing and maintaining data collection and analysis systems, creating data-based insights, and presenting findings to influence decision-making processes.

I am passionate about staying up-to-date with the latest advancements in data science and machine learning, and I am excited to leverage my skills and experience to drive business growth and optimize marketing strategies.

Experience

Work history, roles, and key accomplishments

Data Scientist

Marshall School of Business

Sep 2022 - Nov 2024 (2 years 2 months)

Collected, analyzed and visualized external and internal data sources to support business recommendations. Implemented data collection and analysis systems in Python and Excel, leading to a 30% improvement in marketing and monetization strategy effectiveness. Developed and maintained Tableau dashboards to visualize data-based insights, spanning various metrics and KPIs. Collaborated with stakehold

Python Excel Tableau Data Analysis Data Visualization

Data Scientist Research Assistant

S.R.M Institute of Science and Technology

Jul 2021 - Dec 2022 (1 year 5 months)

Developed a crime hotspot time series forecasting system using Prophet in Python, achieving a mean absolute error percentage of 11%. Formulated hypotheses and identified outliers, collaborating with cross-functional teams to develop methods, enhancing model accuracy and integrating findings into actionable safety strategies. Worked extensively with analytics software and data modeling methods to i

Python Time Series Data Modeling Analytics