Breaking Games logoBreaking Games Externship via Extern

I am Ruchitha Reddy Kota, building skills and projects

I have some work experience and I am exploring career paths while sharpening practical skills and delivering projects.

Work samples

A selection of hands-on projects and tasks I completed while gaining experience, each showing practical skills and what I learned.

  • Customer Review Sentiment Analysis (NLP)
    Customer Review Sentiment Analysis (NLP)

    Cleaned and sentiment-scored 10,000 Yelp reviews with VADER, found lexicon-based scoring misclassified 44.9% of 1-star reviews as positive due to sarcasm, and corrected 1,020 reviews by combining star rating with sentiment score; keyword/bigram analysis identified service quality, order accuracy, and wait time as the top complaint drivers. In progress: restructuring into a script-based ETL pipeline reading/writing from AWS S3, and building the SQL and Power BI layers.

    PythonNLTKVADERSQLPower BIAWS S3
  • Superstore Retail Sales Dashboard
    Superstore Retail Sales Dashboard

    Cleaned and consolidated a 9,994-row retail sales dataset spanning 4 regions, 3 categories, and 3 customer segments, then built interactive Power BI and Tableau dashboards that surfaced underperforming state and sub-category combinations not visible in prior static reports.

    PythonPower BIExcelTableau

About me

I have some work experience and I am exploring career paths while sharpening practical skills and delivering projects.

I am RuchithaReddy Kota. I have some work experience and I am exploring the next steps in my career, building skills and projects as I refine my professional direction.

Externships

SQL & Database Architecture Externship with Breaking Games

Breaking Games

Experience

Graduate Student Assistant, AI/ML Courses

University at Buffalo · Aug 2024 - May 2025

CSE Workshop Coordinator

University at Buffalo · Jan 2025 - May 2025

Packaged App Development Associate, Data Analytics and Reporting

Accenture · Sep 2022 - Dec 2023

Internship Trainee

Cognizant · Feb 2022 - Aug 2022

Education

University at Buffalo

M.S. Computer Science, AI/ML Specialization · Class of 2025

Vardhaman College of Engineering

B.Tech Electrical and Electronics Engineering · Class of 2022

Skills

Early-career project experienceWillingness to learn on the jobPractical, hands-on approach

Customer Review Sentiment Analysis (NLP)

Cleaned and sentiment-scored 10,000 Yelp reviews with VADER, found lexicon-based scoring misclassified 44.9% of 1-star reviews as positive due to sarcasm, and corrected 1,020 reviews by combining star rating with sentiment score; keyword/bigram analysis identified service quality, order accuracy, and wait time as the top complaint drivers. In progress: restructuring into a script-based ETL pipeline reading/writing from AWS S3, and building the SQL and Power BI layers.

PythonNLTKVADERSQLPower BIAWS S3
View all work

Superstore Retail Sales Dashboard

Cleaned and consolidated a 9,994-row retail sales dataset spanning 4 regions, 3 categories, and 3 customer segments, then built interactive Power BI and Tableau dashboards that surfaced underperforming state and sub-category combinations not visible in prior static reports.

PythonPower BIExcelTableau
View all work

Hotel Booking Cancellation Analysis

Analyzed 119,390 hotel bookings across 2 hotels in Portugal, found City Hotel accounted for 74.85% of all cancellations despite roughly 2x the booking volume of Resort Hotel, and delivered 5 data-backed recommendations via a 3-page Power BI dashboard, including deposit requirements for 180+ day lead-time bookings.

PythonPower BIDAX
View all work