Data Analyst with 1+ years in SQL, Python, & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Marketing Analyst with experience in leveraging Excel, SQL, Python, and Power BI to analyze marketing and sales data, automate reporting processes, and generate actionable business insights. Skilled in dashboard development, customer segmentation, campaign performance analysis, and A/B testing. Experienced in creating data-driven solutions that improve decision-making, optimize marketing strategies, and enhance customer engagement. Strong analytical and problem-solving abilities with a passion for transforming data into meaningful business outcomes.
Steinbeis University
Postgraduate Program · Data Science & AI
N/A – June 30, 2025
University of Mumbai
BSc · Mathematical Statistics
N/A – June 30, 2023
Fashion TV India
Data Analyst | Marketing & Sales Analytics
June 1, 2025 – Present
India
PropNest Advisory Pvt. Ltd.
MIS Executive
February 1, 2025 – June 1, 2025
India
Customer Churn Prediction ML system
June 27, 2026 – Present
Built an end-to-end Customer Churn Prediction ML system to identify at-risk customers and enable targeted retention strategies that reduce revenue loss.
Data Science / Data Analyst Certified
Excelr
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project on customer churn prediction and their current role in marketing and sales analytics demonstrate an interest in business impact and problem-solving, which aligns well with a data-driven culture. The pursuit of a postgraduate degree in Data Science & AI shows a proactive approach to skill development and a desire to stay current with industry trends. The diversity of projects and roles, though limited in duration, indicates adaptability.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with marketing and sales teams, indicating good teamwork and communication skills. The ability to translate data into actionable insights suggests strong problem-solving and analytical thinking. The automation of reports points to an efficiency-driven mindset.