I am Harshitha,
who enjoys turning data
into interesting stories
to share with
the world.
About
I’m a Data Science Grad student at RIT,
currently a Data Analyst Intern with University Advancement.
I’m passionate about research and telling stories with data.
With hands-on experience in Python, SQL, Tableau, and cloud platforms,
I blend technical skills with a creative approach to data storytelling.
Whether cleaning datasets, ensuring data quality, or building dashboards,
I aim to make data accessible, insightful, and impactful
Why work with me?
I’m detail-oriented, driven, and committed to delivering
data solutions that truly make a difference.
Let’s turn your data into your next success story!
Expertise
- Data Analysis & Visualization
- Building ETL Pipelines
- Machine Learning
- Azure Services
- NLP
- Project Management
Experience
Data Analyst Co-op
University Advancement, RIT
September 2024 - Present
I developed and automated ETL pipelines to process and manage historical alumni data, ensuring data accuracy and integrity across databases. I also contributed to system reliability by processing vendor datasets and supported the team’s migration to Azure with scalable pipeline designs and clear documentation.
Data Analyst Intern
IP Knack Business Solutions Private Ltd
January 2022 - March 2022
I developed and deployed a responsive website with database integration, conducted data analysis to optimize site performance, and created interactive dashboards for tracking key metrics. I also collaborated effectively across teams to ensure the project’s success.
Education
Master's in Data Science
Rochester Institute of Technology
Expected May 2025
Coursework includes Foundations of Data Science, Business Intelligence, Visual Analytics, and Data Management and Analytics. As a Graduate Teaching Assistant for Database Design and Implementation (ISTE 608), I supported lectures, assisted students with database concepts, evaluated assignments, and ensured exam integrity through proctoring.
B.E in Computer Science & Engineering
Acharya Institute of Technology
Graduated August 2022
I earned a Bachelor’s degree in Computer Science & Engineering from Acharya Institute of Technology in August 2022. My coursework included Object-Oriented Programming, Big Data Analytics, and Software Engineering.
Recent Works
Here are some of my favorite projects I have done lately. Feel free to check them out.
-
Data Mining & AnalysisDeepfake Trends Tracker -
Data Analysis & Business IntelligenceGlobal Hotels and Resorts (GHR) -
Data EngineeringData Science Job Market Analysis -
Data VisualizationVisualizing Urban Dynamics in Ohio -
NLPSentiment Analysis on IPhone Reviews -
Computer VisionFacial Expression Recognition for Mood Detection in Autistic Individuals
Deepfake Trends Tracker
Extracted and analyzed 90K+ Reddit posts and 1,000+ YouTube videos on deepfakes. Used BERTopic & BunkaTopics for topic modeling and created Tableau dashboards to visualize trends and user sentiment.
- Data Mining & Analysis
Global Hotels & Resorts (GHR)
Analyzed 94K+ bookings, uncovering $1.5M in revenue losses. Built CatBoost models to predict upgrades and presented strategies to improve bookings, occupancy, and resource planning.
- Data Analysis
- Business Intelligence
- Predective Modeling
Data Science Job Market Analysis
Built an ETL pipeline with Azure and PySpark to process job market data. Modeled it in a SQL warehouse and designed Tableau dashboards for career insights.
- Data Engineering
- Data Visualization
Visualizing Urban Dynamics in Ohio
Collected data from 1,000 users via a city app to analyze daily activities and create visualizations, identifying key areas for urban improvement.
- Data Visualization
Sentiment Analysis on IPhone Reviews
Cleaned and analyzed 10,000+ iPhone reviews using Python libraries like Pandas, Matplotlib, and Seaborn to uncover trends and insights through EDA and statistical analysis.
- Natural Language Processing
Facial Expression Recognition for Mood Detection in Autistic Individuals
Developed an AI-powered app using emotion recognition, music cloud integration, and DALL-E for image patterns to assist individuals with autism during episodes. Features include real-time emotion detection, emergency SMS alerts with geo-tracking, and personalized de-stressing tools.
- Computer Vision
Saniat Sohrawardi
DeFake Project Lead
Harshitha worked on a capstone project under my supervision, demonstrating an excellent work ethic and a commitment to innovatively addressing the problem. She was an ideal student to mentor, capable of assimilating ideas, contributing her own, and independently implementing numerous tasks. Additionally, she was conscientious in identifying and communicating any concerns with the plans, a trait crucial for success. Overall, I'm very happy with her performance that has led to a paper submission, and hopefully could lead to more in the future!
Y. Kelly Wu
DeFake Project Lead
Harshitha has worked diligently on the Deepfake Trend Tracker project this year. She communicated progress clearly and efficiently through weekly meetings and Basecamp and asked for help when needed. This semester, she made good progress in topic modeling, sentiment analysis, data visualization, and slide prep. At the Graduate Student Showcase, she also presented a well-designed poster with her teammate. I think Harshitha is enthusiastic, motivated, and great to collaborate with.
Quang Neo Bui
Associate Professor of Information Systems
Harshitha and her teammate won the 1st place in the 2024 Saunders Business Analytics competition. Her submissions were the most impressive with great insights. She also communicated really well during the presentation and left a strong impression with the judges.
Get In Touch
If you have a question, a project idea, or just want to discuss data, tech, or storytelling with numbers, reach out—I’d love to chat!