Rohit Inamdar
About Rohit Inamdar
Rohit Inamdar is a Data Analyst with a Bachelor of Engineering in Computer Science from Gogte Institute of Technology and a Master of Science in Computer Science from Stony Brook University. He has experience in developing forecasting models, creating dashboards, and enhancing data quality, currently working at Civis Analytics.
Work at Civis Analytics
Rohit Inamdar currently serves as a Data Analyst at Civis Analytics, a position he has held since 2023. In this role, he conducts end-to-end sales forecasting analysis, integrating diverse datasets to enhance data quality. He employs advanced cleaning techniques to ensure the integrity of the data used in his analyses. Rohit also focuses on validating and optimizing forecasting models, utilizing Python's statsmodels and scikit-learn for rigorous testing and iterative refinement.
Previous Experience at Genpact EMEA
Prior to his current role, Rohit worked as a Data Analyst at Genpact EMEA from 2020 to 2021 in Bengaluru, Karnataka, India. During his tenure, he contributed to various data analysis projects, enhancing his skills in data interpretation and analysis. His experience at Genpact laid the groundwork for his subsequent roles in data analytics.
Experience at Tata Consultancy Services
In 2022, Rohit briefly worked as a Data Analyst at Tata Consultancy Services in the United States for four months. During this time, he led feature engineering efforts by integrating external factors, such as economic indicators, through APIs and web scraping. This experience further developed his analytical capabilities and understanding of data integration.
Education and Expertise
Rohit holds a Bachelor of Engineering in Computer Science from Gogte Institute of Technology, Belgaum, which he completed from 2016 to 2020. He further pursued a Master of Science in Computer Science at Stony Brook University, graduating in 2023. His educational background has equipped him with a strong foundation in data analysis, programming, and statistical modeling.
Technical Skills and Projects
Rohit has established a continuous improvement framework using Git for version control to monitor and refine forecasting models. He has implemented time series analysis using Python's Pandas and NumPy libraries, deploying ARIMA and exponential smoothing models for sales trend prediction. Additionally, he has developed intuitive dashboards and reports using Tableau and Power BI, translating complex insights into actionable strategies for non-technical stakeholders.