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Data Analyst with 2+ years in Business Intelligence & Data Visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analytics professional with expertise in Advanced Excel, Power BI, Tableau, KYC, AML, Research, Gen AI, & Python, specializing in Data Cleaning, Dashboard Development, MIS Reporting, Customer Due Diligence (CDD), Risk Assessment, & Business Insights. Skilled in transforming raw data into actionable insights, analyzing customer information, & supporting decision-making through documentation.
Sandip University
MBA · Business Analytics
August 1, 2024 – April 1, 2026
Sandip University
Bachelor of Computer Applications
July 1, 2018 – August 1, 2021
Cognifyz Technologies
Data Analysis Internship
March 1, 2026 – April 1, 2026
Remote
Cognifyz Technologies
Data Visualization using Excel Internship
September 1, 2025 – October 1, 2025
Remote
Cognifyz Technologies
Business Analytics Internship
June 1, 2025 – July 1, 2025
Remote
Cognifyz Technologies
Power BI Internship
May 1, 2025 – June 1, 2025
Remote
WNS Global Services Pvt. Ltd.
Associate - Ops (Research & Analysis - KYC / AML)
May 1, 2022 – June 1, 2024
Nashik, Maharashtra, India
Virgo BPO Services Pvt. Ltd.
Customer Support Executive
September 1, 2021 – December 1, 2021
Nashik, Maharashtra, India
Tableau Dashboard Building and Data Analysis
September 1, 2025 – September 1, 2025
Conducted sentiment and trend analysis on British Airways passenger data and built an interactive dashboard by uncovering patterns across aircraft type, traveler segments, etc. to evaluate service quality and customer satisfaction.
Power BI Dashboard Building and Data Analysis
April 1, 2025 – April 1, 2025
Analyzed a multidimensional cultural tourism dataset to uncover visitor trends, spending patterns & destination performance through an interactive dashboard.
Global Immersion Program - AI & ML | Academic and Industry Exposure
July 1, 2024 – July 1, 2024
Undertook a 6-day international AI & ML certification program, covering Machine Learning fundamentals, LLMs & Transformers, Decision Trees, Ensemble Methods, Neural Networks, Prompt Engineering (POWER framework), and Responsible AI. Gained hands-on exposure to real-world AI tools and global applications of AI through practical labs, case discussions, and cross-cultural industry insights.
AI using Python Program
Seminarroom Education Private Limited, Bangalore
June 1, 2026 – Present
Tata Gen AI Powered Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Tata Data Visualization: Empowering Business with Effective Insights Job Simulation
Forage
June 1, 2026 – Present
Deloitte Australia Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Generative AI Foundations
UpGrad in collaboration with Microsoft
June 1, 2026 – Present
Business Intelligence & Analytics
SWAYAM (NPTEL), IIT Madras
June 1, 2026 – Present
Advanced Excel, Power BI & SQL Training Program
Seminarroom Education Private Limited, Bangalore
June 1, 2026 – Present
Microsoft Power BI Workshop
Himalaya Upskilling and Research Centre (HURC), Kolhapur
June 1, 2026 – Present
Digital Marketing
National Stock Exchange Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Business Analytics, coupled with diverse internships in data analysis and visualization, aligns well with a data-driven culture. The participation in a 'Global Immersion Program - AI & ML' and various certifications in AI and data analytics suggest a proactive learning attitude and an interest in emerging technologies. The volunteer work also indicates community involvement and teamwork, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work in cross-functional teams (Customer Support Executive role) and has experience in maintaining structured data and generating reports, which are crucial for operational efficiency. Volunteer work indicates teamwork and organizational skills. The descriptions of internships highlight a results-oriented approach with quantifiable improvements (e.g., 'improving reporting efficiency by 25%').