Sheryl Mathew

Sheryl Mathew

Data Analyst with experience in exploratory data analysis of complex financial datasets and healthcare operations support. Skilled in Python, SQL, PySpark, and Azure Databricks, with a track record of automating analytics workflows and building Tableau and Power BI dashboards that surface data patterns, risks and trends. Strong communicator with a B.Tech in Electronics and Computer Engineering.

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Experience

  1. Operations Support Coordinator

    Maximus

    Duration
    Sept 2025 – Present
    Location
    New York (Remote), United States
    Ensured accurate, compliant healthcare data operations
    • Validated healthcare data supporting 30–40 weekly assessments and 200+ monthly interactions for NY OPWDD programs, ensuring accuracy, confidentiality, and HIPAA compliance
    • Translated operational workflows into accurate scheduling, documentation, and tracking to support timely assessments
    • Collaborated with care coordinators and administrative stakeholders to align data with service delivery needs
    • Cleaned and managed operational data in Microsoft Excel to support standardized reporting and efficiency
    • Coordinated consumer-centric scheduling by aligning individual needs with appropriate assessment resources
    Microsoft ExcelMicrosoft OutlookHealthcare OperationsData ManagementHIPAA
  2. Data Analyst

    Deloitte

    Duration
    Aug 2023 – Feb 2025
    Location
    Hyderabad, India
    Received a Spot Award and multiple shoutouts for high quality work
    • Led exploratory data analysis on large financial audit datasets for 20+ global clients, identifying patterns and supporting fraud detection and audit completeness
    • Engineered and automated 35+ analytical workflows by migrating legacy SAS processes to Python and SQL in Azure Databricks, improving efficiency by 20% and saving 1000+ hours annually
    • Designed and developed 10+ interactive Tableau and Power BI dashboards after preprocessing data in PySpark to reveal audit trends, risks, and financial patterns
    • Communicated actionable insights to both technical and non-technical stakeholders and mentored junior analysts; recognized with a Spot Award for high-quality analysis and adaptability
    Azure DatabricksPySparkPythonSQLSASPower BITableauMS Excel

Testimonials

Projects

SmartChart

AI Data Consultant

An AI analytics app that turns natural language questions into Python code to visualize and analyze CSV data.

  • Translated natural language into Python for instant visualizations
  • Used prompt engineering and chat history for better code synthesis
  • Leveraged Qwen-2.5-Coder via Hugging Face API for code generation
PythonStreamlitE2B SandboxHugging Face APIPandasMatplotlibGenerative AI

SiteInsight

AI-Powered RAG for Webpage Analytics

A real-time RAG tool that scrapes webpage content, indexes it into a FAISS vector store, and uses an advanced LLM retrieval and reranking pipeline with OpenAI's models to answer questions grounded in the extracted text.

  • Built a semantic RAG pipeline that scrapes and cleans webpage data dynamically using BeautifulSoup
  • Implemented MMR retrieval and a GPT-4o reranker to surface highly relevant context chunks
  • Designed a clean Streamlit interface with transparent source context visibility
PythonStreamlitLangChainOpenAIFAISSBeautifulSoupGenerative AI

Paris Olympics 2024 Dashboard

Tableau Data Analytics Dashboard

An interactive analytics dashboard visualizing Paris Olympics 2024 data with comprehensive insights on events, athletes, and medal standings.

  • Built data pipelines in Databricks for ETL processing
  • Created interactive Tableau dashboards with drill-down capabilities
  • Visualized medal counts, athlete performance, and country statistics
  • Real-time data refresh with optimized query performance
DatabricksTableauPythonPySparkSQL

Netflix Global Content Analysis

Power BI Data Analytics Dashboard

An interactive Power BI dashboard analyzing Netflix data to uncover insights into content distribution, release trends, and genre mix across countries.

  • Designed a custom dark-themed UI tailored to the Netflix brand identity
  • Calculated core metrics using DAX to track total countries, titles, and directors
  • Implemented a dual-handle date slider for interactive filtering of release year trends over time
  • Visualized global content distribution using a map visual, genre distribution using a treemap, content mix using a donut chart, and a bar chart for top countries
Power BIPower QueryDAX

Human Activity Recognition

Deep Learning for Video Action Recognition

Two deep learning approaches for recognizing human actions from video: a Single-Frame CNN and a ConvLSTM model.

  • Implemented two models to identify human actions from video data
  • Compared Single-Frame CNN vs ConvLSTM (spatial vs temporal learning)
  • Published a public arXiv preprint with methodology as well as results
PythonOpenCVTensorFlowScikit-learnNumPyMatplotlibDeep Learning

Nurse-Mi

Machine Learning for Disease Prediction

A Python-based machine learning chatbot focused on predicting diseases from user-entered symptoms.

  • Built an interactive chatbot UI for symptom input and predictions
  • Trained a machine learning model to map symptom patterns to likely diseases
  • Focused on a simple, fast, offline-friendly desktop workflow
PythonTkinterScikit-learnMachine LearningData Science

Volunteer Work

Just For Humanity

Data & Metrics Analyst (Volunteer)

http://www.justforhumanity.org/
  • Developed reusable Python scripts to automate the transformation of raw datasets into optimized, dashboard-ready formats, that significantly reduced manual data prep time and accelerated reporting cycles.
  • Partnered with JFH leadership to refine KPIs, metric definitions, and reporting standards aligned with the mission and strategic goals - to optimize program effectiveness and donor engagement, and to drive measurable improvements in outreach and participation.
  • Built and maintained shareable dashboards and visual reports for internal and web use, making metrics clear and accessible for non-technical stakeholders.
  • Supported biannual academic reporting cycles with deeper analysis and dashboard refreshes during peak periods, improving consistency and readiness for updates.

Skills

Data

  • PySpark
  • Databricks
  • Tableau
  • Power BI
  • MS Excel
  • AWS
  • Pandas
  • NumPy
  • Matplotlib

Languages

  • Python
  • SQL

Tools

  • Open AI
  • GitHub
  • Git
  • VS Code
  • Genesys Cloud
  • Microsoft Office Suite

Soft Skills

  • Written and Verbal Communication
  • Problem-Solving
  • Time Management
  • Presentation
  • Analytical Skills

Certifications

AWS Certified Cloud Practitioner

Amazon Web Services

2022-2025

SQL Analytics on Databricks

Databricks

SQL 50 Badge on LeetCode

LeetCode

Education

Vellore Institute of Technology, India

Bachelor of Technology - Electronics and Computer Engineering

8.72/ 10CGPA

Coursework: Data Structures and Algorithms, Artificial Intelligence & Machine Learning, Relational Databases

2019 – 2023

Ownership & Mentorship

Core Committee Member and Content Writer — IEEE Robotics and Automation Society, VIT Student Chapter

Impact Day Volunteer — Community Service, Deloitte

Mentored junior analysts at Deloitte

Recognition

Recognized with a Spot Award at Deloitte for high-quality analysis, attention to detail, and adaptability

Published Human Activity Recognition research as a public arXiv preprint (methodology, experiments, and results)