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Anulekha Boddu

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Welcome!

Glad you found my little corner in the massive world of the internet. I am a data analyst by trade but an artist at heart, so it is always a search for new and fun ways to bring those two together.

I have 4 years of experience as a data analyst, with a special focus on reporting, query optimization, and predictive analytics, and a greater interest in data visualization. In an attempt to self learn web design, I have created this portfolio. It is a work in progress.

I love to read, watch movies, make art, and am constantly trying to share my thoughts & creations. Head over to my substack for a little peek.

You can download my full resume here !

Experience

  • Nov 2023 - Present

    Lead Business & Data Analyst

    Mirra Healthcare

    • Built Python pipelines to automate reporting and data workflows
    • Designed utilization management reporting and cost analysis models
    • Developed and optimized SQL procedures for analytics and reporting
    • Led agile ceremonies and managed cross-functional product backlog

  • Jan 2021 - Dec 2021

    Data Analyst

    Piql

    • Developed Python-based analytics and web scraping workflows
    • Implemented KPI tracking and user behavior analysis
    • Analyzed multi-source datasets using SQL to support decision-making

  • Jun 2018 - Aug 2018

    Business Intelligence Consultant Intern

    EY

    • Created sector-focused analytical reports using Excel
    • Supported data-driven consulting and investment analysis projects
    • Assisted with stakeholder research and market analysis

Education

  • Aug 2021 - Jun 2023

    Master of Science in Data Analytics (Honors)

    The George Washington University

    • Machine Learning
    • Data Engineering
    • Statistical Modelling
    • Database Management

  • Sep 2019 - Sep 2020

    Master of Science in Economics (Honors)

    The University of Surrey

    • Macroeconomics
    • Econometrics
    • Time Series Modelling
    • Game Theory

  • Sep 2016 - Jun 2019

    Bachelor of Science in Economics (Honors)

    Brunel University London

    • Quantitative Economics
    • Statistics
    • Applied Micro and Macroeconomic modelling

DATA & PROGRAMMING

Python SQL Pandas ETL Pipelines Data Analytics

MACHINE LEARNING

Regression Classification Clustering NLP Deep Learning

DATA VISUALIZATION

Tableau Power BI Dashboards Seaborn Matplotlib

SYSTEMS & CLOUD

Azure MySQL SSMS MongoDB

BUSINESS & PRODUCT

Business Analytics Agile KPIs Stakeholder Management
project 1

Predicting Movie Success

A predictive model than can use various movie features as input to predict revenue.

Linear Regression Feature Engineering Predictive ML Model
project 1

Book Recommendation System

A recommendation system that utilizes collaborative filtering

Collaborative Filtering Recommender
project 1

Categorizing Spotify Library into Playlists

Using supervised and unsupervised learning methodologies to automatically categorize my entire Spotify Library into playlists

Supervised Learning Unsupervised Learning K-means
project 1

Netflix Dashboard

Created a movie dashboard on Tableau comparing Movie and TV popularity data

Tableau Dashboards Data Visualization
project 1

Color Palette Generator

Generate a color palette from any image

Image Processing Data Visualization Feature Extraction
project 1

Movie Recommendation System

Using the BERT model and content based filtering to recommend movies.

Natural Language Processing Deep Learning Recommendation Systems