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Senior Analyst with 5+ years in SQL-driven analytics & business performance monitoring.
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Assessing your cultural and operational fit
Business Analyst with 3+ years of experience in SQL-driven analytics, business performance monitoring, and decision framework evaluation. Experienced in analyzing funnel metrics, building dashboards, validating business logic, and supporting data-backed rule optimization. Strong foundation in statistics and cross-functional collaboration with product and leadership teams.
HNBGU (Central University)
B.Sc Statistics · Statistics
N/A – June 30, 2019
Codeyoung
Business Analyst
September 1, 2024 – Present
Bengaluru, Karnataka, India
Cynet Health
Data Analyst
July 1, 2020 – February 1, 2024
Dehradun, Uttarakhand, India
Sales Call Audit Automation
June 24, 2026 – Present
Built an NLP-based system to analyze sales transcripts and classify pitch quality using logistic regression and embedding techniques. Reduced manual audit effort and improved evaluation consistency through a structured scoring framework.
IBM Data Science and AI Certificate
IBM
June 1, 2026 – Present
IBM Machine Learning with Python
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including a personal project in NLP, indicates initiative and a proactive learning attitude. Their experience across different companies (Codeyoung, Cynet Health) and roles (Data Analyst, Business Analyst) shows adaptability. The listed hobbies (Chess, football, cricket) suggest a well-rounded individual who may value strategic thinking and teamwork, aligning well with collaborative work environments.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and cross-functional collaboration skills. Their experience in partnering with product/engineering teams for UAT and post-deployment monitoring, along with collaborating with leadership for strategic decision-making, indicates good operational fit. The ability to translate data into actionable insights and improve business processes is evident.