Data Analyst Machine Learning

Anjali Patchappan Lnu

Data Analyst AL ML Research

Boston, MA 617-***-**** ***.*****@************.*** linkedin.com/in/anjali-p-370754213/ github.com/Anjali-1230 EDUCATION

Northeastern University, Boston, MA Jan 2025 – Aug 2027 Master of Science in Data Analytics Engineering GPA: 4.0 Relevant Coursework: Machine Learning, NLP, Data Mining, Cloud Computing, AI Ethics, Data Warehousing BMS Institute of Technology and Management, Bangalore, India Aug 2019 – May 2023 Bachelor of Technology, Electronics and Communication Engineering GPA: 3.75 Relevant Coursework: Computer Networks, Python Application, Network Security, Data Structure & Algorithm SKILLS

Programming Languages: Python, R, C++, SQL, Mongo DB ML&AI Tools: LSTM’s, CNN’s, Time Series Analysis, Classification Models NLP & CV: Text Mining, Sentiment Analysis, Scene Understanding, EEG- based Emotion Recognition. Data Visualization: Tableau, Power BI, Jupyter Notebooks. Deployment: Microsoft Azure, Docker, Collaboration: Git, Cross -functional teamwork Certification: Introduction to AI, Watson (IBM), Big Data, AWS, Cloud Computing, LLM (Udemy), Python and Data Structure (University Michigan) PROFESSIONAL EXPERIENCE

Northeastern University, Boston, MA May 2025 – Aug 2025 Student Research Assistant

Designed Smartsheet-based dashboards to track research progress and faculty engagement, ensuring accurate reporting.

Developed Python and NLP-based automation scripts to streamline data collection, improve visualization, and automate reminders.

Led cross-functional initiatives to enhance data-driven decision-making in research analytics.

Engineered real-time security dashboards in Tableau & Smartsheet’s, providing insights into research funding trends. Societe Generale Global Solutions, Bangalore, India Feb 2023 – Dec 2024 Data Analyst

Developed predictive models and dashboards, leveraging Python, SQL, and Tableau, reducing project timelines by 15%.

Automated ETL pipelines using Python and SQL, improving data accuracy by 30% and reducing manual processing by 25%.

Built real-time NLP dashboards for Microsoft in Power BI & Python, improving sentiment analysis speed by 40%.

Implemented data validation pipelines (Python, SQL), ensuring high data integrity for key stakeholders. Skill Dzire, Bangalore, India Apr 2022 – Dec 2022

Data and Financial Analyst Intern

Designed interactive data dashboards Python, SQL, Tableau, improving data visualization and decision-making.

Developing financial data models and reporting automation for banking and trading portfolios to enhance business insights.

Optimized data preparation workflows for high-volume financial datasets, reducing processing time by 20%. PROJECTS

Wearable Stress and Affect Detection (WESAD) Feb 2025 – Mar 2025

Developed a physiological signal analysis pipeline using the WESAD dataset to process time-series sensor data and extract affect and stress classification features.

Implemented permutation entropy and statistical complexity algorithms to generate and visualize detailed patterns of emotional states, producing 10 samples per state baseline.

Used Python tools including for feature engineering and efficient visualization. Delivered actionable insights into physiological responses for advanced machine learning research in healthcare settings.

Patient Segmentation Using Unsupervised Learning Jan 2025 – Feb2025

Processed 40,000+ patient records from the MIMIC-III dataset by building a comprehensive data pipeline with outlier detection, KNN imputation for missing values and Min-Max normalization. Applied K-means and hierarchical clustering algorithms, optimizing cluster numbers with the Elbow method to identify clinically relevant patient cohorts and actionable characteristics among distinct groups.

Delivered insights for targeted healthcare interventions and resource optimization in ICU settings by analyzing physiological and clinical characteristics across patient clusters.

PUBLICATIONS

Industrial Automated Multipurpose Robot Using Wi-Fi, IEEE 2023 and Wireless and Solar-Powered Multipurpose Robot, IEEE 2023

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