Raghav Raheja

Results-driven data analyst with expertise in the end-to-end data journey, from designing robust data infrastructure to delivering well-curated insights to leadership. Detail-oriented and committed to extracting maximum value from data for organizational growth. Experienced in tools ranging from Excel to Python, with a strong educational background in data science. Aiming to leverage skills and experience to drive data-informed decision-making.

Lead Associate, Data Consulting, Social Lens, Mumbai, India (2022 - 2023)

• Led data management and analysis for a $16 million philanthropic fund, performed data processing, and delivered cross-sectional insights to senior leadership for informed decision-making and strategic course correction.
• Spearheaded technology adoption initiatives in the organization by providing strategic guidance to leadership, offering recommendations on technology investments backed with a cost-benefit analysis to enhance organizational efficiency.
• Created a data repository and performed analytics to understand the time required for each program, provided timeline estimation to the clients, and assisted in resource planning for different programs. 
• Published Tableau dashboard on the company’s website to track the progress of a novel capacity-building initiative.                                              

Associate, Risk Consulting (Forensic), PwC, Mumbai, India (2021 - 2022)

• Managed the ETL (Extract, Transform, Load) process for a major food and agriculture business company, and consistently delivered 100% resolution rate for client queries on the ETL results, offering prompt ad-hoc solutions. 
• Developed and modified SQL routines to detect fraudulent transactions to safeguard the company from internal fraud.
• Designed and built dashboards to report fraudulent activities while maintaining existing dashboards for accuracy and efficiency, and incorporating changes using Tableau.   

Graduate Research Assistant, Ph.D. Student, Syracuse University, Syracuse, USA (2020 - 2021)

• Collaborated with industry experts to develop comprehensive interview guides and templates for data collection, ensuring a holistic capture of relevant information.
• Utilized Python to perform topic modeling and clustering analysis on qualitative data, uncovering common trends within the dataset and aligning findings with theories from relevant journals.

Intern, Lean Six Sigma, Inficon, Syracuse, USA (2018 - 2018)

• Conducted comprehensive investigations into warranty expenses incurred by the company, employing advanced analytical techniques to identify root causes and patterns, and recommending appropriate mitigation strategies.
• Implemented measures based on Lean Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) methodology to reduce warranty expenses and improve the repair process, resulting in a significant 54% enhancement.

 Data Analyst, Analytics, Toolbox India, Mumbai, India (2016 - 2017)

• Improved time frames by approximately 40% for ongoing data capturing process by developing an automation tool in MS Excel and tuning it to the business process outcomes.
• Pioneered an SQL-like database in Excel to streamline data collection and retrieval to improve the data management processes without the need for new technology, providing a user-friendly solution.

Master of Information Management, Syracuse University (2017 - 2019)

• Certificate of Advanced Studies (CAS) in Data Science                                                                             
• Excellence Scholarship from the iSchool                                                                                                      
• Graduate Mentor                                                                                                                                        

Bachelor of Technology (Computer Engineering), NMIMS University (2012 - 2016)