Data Analyst with 1+ years in SQL, Power BI & Microsoft Fabric
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Strategic Data & Business Intelligence Professional with expertise in designing and scaling enterprise-grade analytics and data infrastructure solutions using SQL, Power BI, and Microsoft Fabric. Proven experience architecting end-to-end data ecosystems from MSSQL database design and ETL optimization to executive dashboards analyzing 1M+ records delivering 10% revenue growth, 20% cost efficiency, and 45% performance acceleration. Adept at partnering with cross-functional and leadership teams to translate complex datasets into pricing strategy, operational optimization, and data-driven decision frameworks across pharma, FMCG, hospitality, and digital enterprises.
Lokmanya Tilak College of Engineering
B.E. · Computer Science (AIML)
August 1, 2020 – June 30, 2024
Naprod Lifesciences
Executive Business Analyst (Functioning as Data Analyst - Revenue Analytics)
April 1, 2025 – Present
Mumbai, Maharashtra, India
Kropbook
Jr. Data Analyst (Intern)
August 1, 2024 – December 1, 2024
Navi Mumbai, Maharashtra, India
OTT Merger Dashboard - Media & Entertainment Domain
March 1, 2025 – March 1, 2025
Developed an interactive Power BI dashboard analyzing the Jotstar-Jio Cinema merger, tracking content consumption, user engagement, and revenue trends. Integrated 500K+ records from subscriber, content library, and watch-time datasets into a unified data model. Optimized data relationships, improving cross-filtering performance by 30%, and identified high-performing content that boosted user retention by 15%.
Business 360 - Brick & Mortar and E-commerce
February 1, 2025 – February 1, 2025
Built a Business 360 Power BI dashboard covering five departments, analyzing 1M+ global sales records from MySQL and Excel. Optimized report performance using DAX Studio, achieving 30% storage reduction and 5% faster execution time. Delivered insights that drove a 10% revenue increase and reduced data costs by 20%.
EV Market Analysis - Automotive Domain
January 1, 2025 – January 1, 2025
Analyzed EV sales data across five regions to identify high-demand markets. Provided insights that guided expansion planning, projected to increase market penetration by 15%.
Revenue Insights - Hospitality Industry
December 1, 2024 – December 1, 2024
Developed a KPI-driven dashboard analyzing revenue trends and spending patterns for 10+ hotel properties. Supported pricing and marketing optimization, helping regain 20% market share.
Sales Insights - FMCG Domain
November 1, 2024 – November 1, 2024
Automated a dashboard to monitor revenue growth, YoY trends, and regional performance for a $10M+ FMCG business. Enabled data-driven decision-making, contributing to a projected 7% revenue growth.
Get Job Ready: Power BI Data Analytics for All Levels 3.0
Code basics
January 1, 2025 – Present
Excel: Mother of Business Intelligence
Code basics
January 1, 2025 – Present
Natural Language Processing (NLP)
Kamal Classes
April 1, 2024 – Present
Machine Learning & Flask Deployment
Kamal Classes
March 1, 2024 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a data-driven organization, evidenced by a consistent focus on using data to inform strategic decisions and optimize business processes. The diversity of projects across various industries (media, e-commerce, automotive, hospitality, FMCG) indicates adaptability and a broad interest in applying data analytics to different business challenges. The certifications and academic background in Computer Science (AIML) show a commitment to continuous learning and staying current with industry trends. The guest speaker role also suggests leadership potential and a willingness to share knowledge.
Soft Skills & Operational Fit
The candidate's resume highlights a proactive approach to problem-solving and a focus on delivering measurable business impact (e.g., 10% revenue increase, 20% cost reduction). The guest speaker engagement indicates strong communication and presentation skills, which are valuable for a data analyst role requiring stakeholder interaction. The ability to architect database infrastructure from scratch suggests a strong operational fit for roles requiring end-to-end data solution ownership.