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

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.

See more

Skills

Experience Level

Python
Expert
Data Science
Expert
SQL
Expert
Data Visualization
Expert
Keras
Expert
PyTorch
Expert
TensorFlow
Expert
Microsoft Excel
Intermediate
GitHub
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.

Education

Post Graduate Diploma at IIIT, Bangalore
March 1, 2022 - March 31, 2023
M.Com. at Guru Ghasidas Central University
January 1, 2012 - March 31, 2012
Master in Data Science at Liverpool John Moores University
February 1, 2023 - March 1, 2025

Qualifications

Data Toolkit Basic Python Programming- Performing Data Cleaning and Exploratory Data Analysis in Python, Advanced Excel
January 1, 2022 - December 31, 2022
Certification in EDA & Certification in Data Visualization | IIIT Bangalore
January 1, 2022 - December 31, 2022

Industry Experience

Education, Financial Services, Software & Internet, Healthcare, Telecommunications
    paper Time Series Classification using PyTorch and NHiTS-based Model

    Developed a scalable end-to-end pipeline for classifying multivariate time series signals using a PyTorch-based NHiTS architecture. Designed custom Dataset and DataLoader classes to load and preprocess time series data stored in Parquet format, enabling efficient training and evaluation workflows.

    Integrated the HuggingFace Trainer API for streamlined model training and performance logging. Evaluation included precision, recall, F1-score, and confusion matrix, with results logged using MLflow and visualized through Azure ML Studio. Applied experiment tracking, hyperparameter tuning, and modular logging using Loguru and TQDM for better traceability.