Highlights:

Skills:python, R, Data analysis, Statistical analysis, time series analysis, machine learning, deep learning

Data Scientist 07/2023 - 08/2023
Pitney Bowes, Stamford, CT United States
Industry: Shipping and Mailing
Collaborated with a team to develop SQL queries in Snowflake for sales data extraction and analysis using Python. Implemented time series forecasting models like Auto ARIMA and Prophet, achieving 95% accuracy in predicting sales trends. Leveraged Joblib's parallel processing to reduce model evaluation time by 40%. Achieved a 0.76 AUC in predicting customer defaulters using XGBoost through robust back testing.
? Collaborated with Senior Data Scientist, Senior Manager, team members, and interns to develop SQL queries in Snowflake for sales data extraction and efficient analysis using Python. ? Implemented time series forecasting models (Auto ARIMA, Prophet) with 95% accuracy in predicting sales trends. ? Leveraged Joblib's parallel processing to reduce model evaluation time by 40%. ? Achieved 0.76 AUC in predicting customer defaulters with XGBoost through robust back testing.--

Michigan Technological University 08/2023 - 04/2024
Houghton, Michigan, United States
Degree: Master's Degree
Major:Data Science
Earned a Master's in Data Science from Michigan Tech, with expertise in data science and data analytics. Proficient in Python, SQL, Power BI, and Excel, with hands-on experience in advanced statistical methods, deep learning, and machine learning. Developed and deployed various data analysis projects, showcasing skills in data visualization and predictive modeling. Published work titled "Husky Voice." Certified in Microsoft Azure AI, AWS Cloud Practitioner, and Google Advanced Data Analytics Capstone.

Rahul_Teja_Bolloju_Resume