Results-driven Business Analytics graduate from Roosevelt University, Chicago, with a strong foundation in data analysis, business strategy, and decision-making. Completed a capstone project on house price prediction using machine learning algorithms, where she improved model accuracy by 18% and reduced prediction errors by 12%, enabling more reliable market insights. Equipped with advanced skills in Python, SQL, Tableau, and statistical modeling, Harika blends her business administration background with technical expertise to deliver data-driven solutions that enhance efficiency and support strategic growth. Known for her adaptability, problem-solving mindset, and commitment to excellence, she is eager to contribute value and prove herself in dynamic business and data-focused roles.
Business & Domain Skills
Business Intelligence & Reporting
Financial & Marketing Analytics
Business Strategy & Operations Analysis
Risk Analysis & Forecasting
KPI Development & Performance Measurement
Soft Skills / Professional Skills
Problem-Solving & Critical Thinking
Stakeholder Communication & Data Storytelling
Project Management (Agile / Scrum basics)
Leadership & Team Collaboration
Decision-Making based on data insights
Data Visualization: Tableau, Power BI, Matplotlib, Seaborn
Databases & Querying: SQL, MySQL, PostgreSQL
Big Data Tools: Spark, Hadoop (basic exposure is useful)
Statistics & Probability: Hypothesis Testing, ANOVA, Time-Series Analysis
Data Wrangling & ETL: Excel (Advanced), Pandas, Data Cleaning & Preparation
Cloud & Tools (in-demand in US): AWS (S3, Redshift, SageMaker), Azure, Google BigQuery
Programming & Analytics: Python, R
Machine Learning: Regression, Classification, Clustering, Predictive Modeling