Nidhi Singh

Data Scientist | ML Data Associate

Noida, IN.

About

Highly analytical Data Scientist with 2.5 years of experience at Amazon, complemented by a postgraduate degree in Data Science and Business Analytics. Proficient in Machine Learning, Python, SQL, and data visualization, with a strong foundational background in Electronics and Communication Engineering. Adept at transforming complex data into actionable business insights to drive strategic decision-making and optimize performance.

Work

Amazon India

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ML Data Associate

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Summary

Leveraged advanced data analysis and machine learning techniques to drive customer insights and optimize promotional campaign performance for Amazon Fresh India.

Highlights

Segmented over 500K Amazon Fresh India customers using RFM features and user behavior data via Python and SQL, leading to the identification of high-value segments and seasonal trends.

Developed and deployed an interactive Tableau dashboard to visualize customer segments by region, order frequency, and top product categories, enhancing strategic decision-making.

Analyzed over 50 million records of campaign, sales, and user data to evaluate promotional reach, engagement, and performance, identifying high-performing segments.

Compared key metrics including Click-Through Rate (CTR), conversion rate, and sales uplift across campaigns and product categories, providing actionable insights for optimization.

Created dynamic Tableau reports with filters to track campaign efficacy by region, time, and promotion type, enabling real-time performance monitoring.

Education

Great Lakes Institute of Management (in collaboration with University of Texas, Austin)

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Post Graduate Program Data Science and Business Analytics

Uttar Pradesh Technical University

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B.Tech Electronics and Communication Engineering

Skills

Machine Learning

Regression, Classification, Clustering, Time-Series Forecasting, Outlier Detection, Natural Language Processing (NLP).

ML Libraries

Scikit-learn, Pandas, Numpy, SMOTE, NLTK, spaCy, XGBoost, LightGBM.

Data Visualization Tools

Tableau, Matplotlib, Seaborn, Power BI, Plotly.

Data Analysis & EDA

Data Wrangling, Feature Engineering, Statistical Analysis, Hypothesis Testing, Exploratory Data Analysis (EDA).

Tools & Platforms

Jupyter Notebook, Git/GitHub, Google Colab, Excel (VLOOKUP, PivotTables).

Programming Languages

Python, SQL.

Projects

Customer Churn Prediction and Personalized Campaigns

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Summary

Developed a comprehensive customer churn prediction model to identify at-risk customers and inform personalized retention strategies.

Regression Analysis for Airbnb House Pricing

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Summary

Conducted a detailed regression analysis to predict Airbnb house prices and identify key influential factors.

Retail Sales Time Forecasting

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Summary

Designed and implemented time-series forecasting models to predict retail sales, optimizing inventory and operational planning.