Raghav Arora — Business Analyst
🔍 Passionate Data Scientist | Data Analyst | Business Analytics | Data-Driven Insights 📊 Hello! I'm Raghav Arora, a data-driven problem solver with a passion for leveraging analytics to unlock valuable insights and mitigate risks. My journey in the world of data began at California Polytechnic State University, where I earned a Master's degree in Business Analytics and a Bachelor's in Business Administration, with a focus on Financial Management and Economics. My commitment to excellence has been recognized through my inclusion on the Dean's List and my role as Diversity and Inclusivity Chair at the Nu Alpha Chapter of Kappa Sigma. 💼 Professional Experience: From my internship at Netflix, where I contributed to the emerging gaming service with market research, pricing strategies, and predictive modeling, to my work at Engie North America Inc., analyzing power grid dynamics and driving visualization through tools like Tableau and R, I've honed my skills in data analysis and predictive modeling. 📈 Analytics Projects: I'm enthusiastic about tackling complex challenges. My Kaggle project involved predictive classification modeling to determine the political affiliation of random U.S. citizens. Leveraging advanced techniques in R, Python, and machine learning, I achieved an impressive accuracy of 65.08%. Additionally, my work at the Writing & Learning Center at Cal Poly, where I designed a SQL database to enhance tutoring system management, demonstrated my data management skills and commitment to improving processes. 🌟 Leadership & Involvement: As Diversity and Inclusivity Chair at Kappa Sigma, I led efforts to raise awareness about the importance of diversity in our community. Collaborating with various councils, we developed comprehensive guidelines for Cal Poly, fostering an inclusive environment. 📚 Education & Certifications: My educational journey has been enriched by my Master's in Business Analytics from Cal Poly, along with certifications from Amazon (AWS Cloud Foundations), IBM (Data Science Professional). The recognition from California Polytechnic State University for Accounting Excellence underscores my dedication to my field. 🔧 Skills: My technical toolkit includes proficiency in Excel, R, Python, SQL, Tableau, Power BI, AWS, Git/GitHub, TensorFlow, and PyTorch. I'm well-versed in Regression & Classification, Data Mining, Predictive Analysis, Optimization, Machine Learning, and Forecasting. Let's connect! I'm eager to collaborate, share insights, and contribute to projects that drive meaningful impact.
Stackforce AI infers this person is a Data Scientist with a focus on analytics in the SaaS industry.
Location: Whittier, California, United States
Experience: 4 yrs 3 mos
Skills
- Data Analysis
- Product Development
- Predictive Modeling
- Data Management
Career Highlights
- Proven expertise in predictive modeling and data analysis.
- Led diversity initiatives as chair at Kappa Sigma.
- Achieved 65.08% accuracy in political affiliation project.
Work Experience
Water Saver Solutions
Analyst (1 yr 11 mos)
Assistant Analyst (6 mos)
Predactiv
Data Analyst (2 yrs)
Product Analyst Intern (4 mos)
Netflix
Data Scientist (3 mos)
ENGIE North America Inc.
Data Scientist (3 mos)
California Polytechnic State University (Cal Poly)
Data Analyst (10 mos)
Bankers Life
Sales Financial Analyst (9 mos)
Bakbone Inc.
Accounts Analyst Intern (1 yr 1 mo)
Ramco Steels Private Ltd
Analyst Intern (2 mos)
Education
Master's at California Polytechnic State University-San Luis Obispo
BSc in Business Administration at California Polytechnic State University-San Luis Obispo
