Chinmay Mukim
@chinmaymukim
Sales Operations and Data Analyst driving CRM quality and insights.
What I'm looking for
I am a Sales Operations & Data Analyst with two years of experience improving CRM data quality, automating reporting, and enabling revenue-focused lead generation. I combine Salesforce / CRM expertise with advanced Excel, SQL and Python to deliver accurate, actionable sales insights.
At Digby and Otto, I managed CRM quality for 100K+ records, reducing anomalies by 80% and automating dashboards to cut manual work by 40%. I partner closely with sales teams to maintain addressable market data, resolve cross-team discrepancies, and produce ad-hoc and scheduled reports that support leadership decisions.
My projects include building cloud-based analytics workflows, applying time-series forecasting in my master’s thesis, and implementing validation rules and automated reporting processes to ensure consistent, reliable operational data. I prioritize practical process improvement and strong internal customer service.
Experience
Work history, roles, and key accomplishments
Sales Operations Analyst
Digby and Otto Pvt Ltd
Jul 2023 - Apr 2025 (1 year 9 months)
Managed CRM data quality for 100K+ product and sales records, reducing anomalies by 80% and automating dashboards that cut manual work by 40% to improve sales visibility and decision-making.
Data Analyst Intern
KPMG (Forage Virtual Internship)
Sep 2022 - May 2023 (8 months)
Designed Excel-based financial models and dashboards, applied time-series forecasting methods, and built cloud analytics workflows on Azure to support executive forecasting decisions.
Education
Degrees, certifications, and relevant coursework
National College of Ireland
Master of Science, Data Analytics
2022 - 2023
Completed a Master of Science in Data Analytics with a thesis on comparative crime forecasting using time-series models and Python.
Savitribai Phule Pune University
Bachelor of Engineering, Computer Science
2018 - 2021
Earned a Bachelor of Engineering in Computer Science focusing on programming, data structures, and computing principles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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