Rishitha Katikaneni
Cincinnati
Summary
Experienced Data Analyst with a strong background in Information Technology and hands-on expertise in data analysis, predictive modeling, and business intelligence. Leverages SQL, Python, and Power BI to extract and analyze complex datasets, transforming them into actionable insights. Specializes in exploratory data analysis, statistical modeling, and dashboard development to drive strategic decision-making and enhance operational efficiency.
Overview
2
2
years of professional experience
Work History
Student Associate
University of Cincinnati
Cincinnati
09.2025 - 04.2026
- Coordinated and executed university events including IT Expo, faculty meetings, and academic programs, fostering engagement and collaboration among stakeholders.
- Managed logistics, scheduling, and communication, ensuring seamless event execution.
- Supported professors and administrative staff in daily academic and operational activities to enhance overall departmental efficiency.
- Improved workflow efficiency by streamlining coordination between faculty and students.
- Organized departmental documentation, reports, and data records, improving accessibility and accuracy of information.
- Developed strong organizational, multitasking, and stakeholder management skills.
Graduate Teaching Assistant
Physics Department
Cincinnati
08.2025 - 04.2026
- Evaluated and graded assignments, lab reports, and exams for 200+ students, ensuring consistency, accuracy, and timely feedback.
- Simplified complex physics and analytical concepts, enhancing student comprehension and driving academic performance.
- Managed coursework data and maintained structured grading systems, facilitating efficient tracking and feedback.
- Collaborated with faculty to enhance course delivery and streamline academic processes, improving overall instructional effectiveness.
- Demonstrated strong analytical thinking and attention to detail through evaluation of quantitative data and reports.
Business Development Associate
ThinkWise, India
11.2023 - 11.2024
- Maintained structured datasets to track leads, applicants, and hiring stages using Excel and CRM tools, enhancing recruitment efficiency.
- Analyzed recruitment data and hiring trends to optimize candidate sourcing strategies.
- Identified patterns in candidate engagement to improve outreach effectiveness and conversion rates.
- Developed performance reports and dashboards from LinkedIn and social media analytics to inform recruitment strategies.
- Collaborated with cross-functional teams to align business needs with structured workflows, improving operational effectiveness.
- Supported decision-making by providing insights into campaign performance and recruitment metrics.
Education
Master of Science - Information Technology
University of Cincinnati
Cincinnati, OH04-2026
Bachelor of Engineering in Computer Science(IoT) -
VNR VJIET
INDIASkills
Programming & Data Analysis:
Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), SQL
Data Visualization & BI Tools:
Power BI, Tableau (basic), Microsoft Excel (Advanced: Pivot Tables, VLOOKUP, INDEX-MATCH, Data Cleaning, Dashboards)
Data Techniques & Concepts:
Exploratory Data Analysis (EDA), Data Wrangling, Feature Engineering, Statistical Analysis, Hypothesis Testing, Predictive Modeling
Databases & Tools:
MySQL, PostgreSQL (basic), Git, GitHub, Jupyter Notebook, VS Code
Business & Analytical Skills:
Business Analysis, Requirement Gathering, KPI Development, Data Storytelling, Process Optimization
PROJECTS
Bank Marketing Campaign Analysis & Predictive Modeling (Capstone Project)
- Conducted comprehensive exploratory data analysis (EDA) on large-scale banking datasets to identify key factors influencing customer subscription behavior.
- Performed extensive data cleaning, transformation, and feature engineering to enhance data quality and model performance.
- Built and evaluated multiple machine learning models including Logistic Regression, Random Forest, and Gradient Boosting.
- Assessed model performance using ROC-AUC, Precision, Recall, and F1-score, ensuring robust evaluation.
- Identified key customer segments and behavioral trends to improve marketing targeting strategies.
- Delivered actionable business insights that can increase campaign efficiency and conversion rates.
- Conducted data preprocessing and EDA on healthcare datasets to identify key risk factors.
- Built a Random Forest classification model to predict heart disease likelihood.
- Visualized correlations and trends using Python visualization libraries.
- Developed an interactive Streamlit application for real-time prediction and user interaction.
- Designed and developed interactive dashboards to analyze revenue, sales performance, and customer trends.
- Created KPIs and dynamic filters to support business decision-making.
- Transformed raw datasets into meaningful visual insights using Power BI.
- Enabled stakeholders to identify growth opportunities and performance gaps.
- Designed a normalized relational database schema for airline booking systems.
- Implemented SQL queries using JOINs, aggregations, and indexing for efficient data retrieval.
- Ensured data integrity and optimized database performance.
CERTIFICATIONS & TRAINING
- AWS Cloud Workshop
- Big Data Computing Workshop
- Full Stack Web Development Training
- Hardware Hackathon Participant
- Google Data Analytics Certification
- Microsoft Power BI Certification
Timeline
Student Associate
University of Cincinnati
09.2025 - 04.2026
Graduate Teaching Assistant
Physics Department
08.2025 - 04.2026
Business Development Associate
ThinkWise, India
11.2023 - 11.2024
Master of Science - Information Technology
University of Cincinnati
Bachelor of Engineering in Computer Science(IoT) -
VNR VJIET