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I am a data science professional with 7+ years of academic experience in statistics and recent hands-on expertise in machine learning, deep learning, and data pipeline development. I specialize in building scalable ML solutions for time series classification, image segmentation, and IoT data modeling using Python, PyTorch, and modern data frameworks. I’ve contributed to projects involving ARFF-to-Parquet data conversion, custom PyTorch datasets, experiment tracking (Loguru, MLflow), and Azure ML deployment. My strength lies in bridging statistical theory with real-world data science use cases—delivering actionable insights and clean, maintainable code. Open to freelance roles involving ML prototyping, data preprocessing, visualizations (Matplotlib, Seaborn, Plotly), or AI model development.…I am a data science professional with 7+ years of academic experience in statistics and recent hands-on expertise in machine learning, deep learning, and data pipeline development. I specialize in building scalable ML solutions for time series classification, image segmentation, and IoT data modeling using Python, PyTorch, and modern data frameworks. I’ve contributed to projects involving ARFF-to-Parquet data conversion, custom PyTorch datasets, experiment tracking (Loguru, MLflow), and Azure ML deployment. My strength lies in bridging statistical theory with real-world data science use cases—delivering actionable insights and clean, maintainable code. Open to freelance roles involving ML prototyping, data preprocessing, visualizations (Matplotlib, Seaborn, Plotly), or AI model development.

Anjalika Roychowdhury

Data Scientist, Data Visualizer, AI Engineer, +3

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I am a data science professional with 7+ years of academic experience in statistics and recent hands-on expertise in machine learning, deep learning, and data pipeline development. I specialize in building scalable ML solutions for time series classification, image segmentation, and IoT data modeling using Python, PyTorch, and modern data frameworks. I’ve contributed to projects involving ARFF-to-Parquet data conversion, custom PyTorch datasets, experiment tracking (Loguru, MLflow), and Azure ML deployment. My strength lies in bridging statistical theory with real-world data science use cases—delivering actionable insights and clean, maintainable code. Open to freelance roles involving ML prototyping, data preprocessing, visualizations (Matplotlib, Seaborn, Plotly), or AI model development.…I am a data science professional with 7+ years of academic experience in statistics and recent hands-on expertise in machine learning, deep learning, and data pipeline development. I specialize in building scalable ML solutions for time series classification, image segmentation, and IoT data modeling using Python, PyTorch, and modern data frameworks. I’ve contributed to projects involving ARFF-to-Parquet data conversion, custom PyTorch datasets, experiment tracking (Loguru, MLflow), and Azure ML deployment. My strength lies in bridging statistical theory with real-world data science use cases—delivering actionable insights and clean, maintainable code. Open to freelance roles involving ML prototyping, data preprocessing, visualizations (Matplotlib, Seaborn, Plotly), or AI model development.

Available to hire

I am a data science professional with 7+ years of academic experience in statistics and recent hands-on expertise in machine learning, deep learning, and data pipeline development. I specialize in building scalable ML solutions for time series classification, image segmentation, and IoT data modeling using Python, PyTorch, and modern data frameworks.

I’ve contributed to projects involving ARFF-to-Parquet data conversion, custom PyTorch datasets, experiment tracking (Loguru, MLflow), and Azure ML deployment. My strength lies in bridging statistical theory with real-world data science use cases—delivering actionable insights and clean, maintainable code.

Open to freelance roles involving ML prototyping, data preprocessing, visualizations (Matplotlib, Seaborn, Plotly), or AI model development.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Hindi

Advanced

Work Experience

Data Science Intern at ArgoScape

January 1, 2025 - June 11, 2025

Develop and test machine learning pipelines using PyTorch for time series classification tasks, including model training, evaluation, and deployment scripting. Design scalable end-to-end data workflows for preprocessing and converting raw datasets. Implement custom dataset classes and DataLoaders in PyTorch to ensure efficient batch processing and integration. Integrate logging frameworks to track and debug experiments, enhancing maintainability. Collaborate on IoT data modeling for anomaly detection and event segmentation in the SensiCore project. Manage version control and project structures using Git and GitHub to maintain organized and reproducible codebases.

Statistics Lecturer at Christ College, Bangalore

May 1, 2019 - June 30, 2021

Delivered lessons on data trends analysis including correlation, central tendency, clustering, and predictive modeling with linear and logistic regression and time series analysis. Conducted lectures on probability and machine learning algorithms, applied clustering and regression methods in real-world examples, and designed workshops for enhancing statistical reasoning and data interpretation. Emphasized data cleaning, preprocessing, and validation for accurate analysis outcomes.

Statistics Lecturer at Goenka Institute of Education and Research

March 1, 2014 - January 31, 2019

Taught core statistical concepts including probability, correlation, hypothesis testing, and variance analysis. Facilitated interactive discussions and hands-on activities to apply statistical theories practically. Developed academic materials aligned with industry standards. Strengthened students' analytical and critical thinking skills and assessed performance for academic and professional growth.