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Lead Data Scientist with 10+ years in Data Analytics, SQL & Power BI
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Results-driven Data Analyst with 10+ years of combined experience in data analytics, sales operations, and database administration. Proven expertise in building executive dashboards, conducting statistical analysis, and translating complex datasets into actionable business insights. Skilled in Power BI, Tableau, SQL, Python, and Snowflake with a track record of supporting data-driven decisions that generated $140,000+ in investment outcomes. Strong foundation in ETL processes, data modeling, query optimization, and KPI development.
JNTU
Bachelor of Technology (B.Tech) · Engineering in Computer Science Engineer
August 1, 2007 – June 30, 2011
Self-Employed
Freelance Data Analyst & Operations Lead
April 1, 2014 – September 1, 2025
Hyderābād, Telangana, India
Covalense Technologies Pvt Ltd
System & Network Administrator
October 1, 2013 – November 1, 2014
Bengaluru, Karnataka, India
Covalense Technologies Pvt Ltd
Oracle Database Administrator
March 1, 2013 – February 1, 2014
Bengaluru, Karnataka, India
Insurance Fraud Detection & Network Risk Analytics Dashboard (Power BI)
February 1, 2026 – February 1, 2026
Analyzed 5,000+ insurance claims to uncover organized fraud patterns across claimants, agents, and providers using network-oriented analytics. Built multi-page Power BI dashboards with advanced DAX measures for fraud rate analysis (12%), investigation funneling, and provider/agent risk scoring. Identified high-risk provider hubs responsible for 31% of fraud claims using degree-based centrality proxies and percentile thresholds, enabling targeted SIU investigation prioritization.
View ProjectBlinkit Sales Performance Analytics (Power BI)
December 1, 2025 – December 1, 2025
Designed a comprehensive sales analytics dashboard tracking outlet performance, item-level sales trends, and customer satisfaction metrics across multiple locations. Implemented dynamic filtering and drill-down capabilities enabling stakeholders to analyze performance by outlet type, fat content, and product category.
View ProjectE-Commerce Sales Performance Analysis Dashboard (Power BI)
December 1, 2025 – December 1, 2025
Analyzed 100,000+ transaction records to identify top-performing product categories (Electronics: 42% revenue share, Fashion: 28%). Built an interactive dashboard with advanced DAX measures tracking YoY growth (+23%), customer segmentation (RFM analysis), and regional performance trends. Discovered 18% cart abandonment rate pattern during checkout, recommending UX optimization strategies to improve conversion.
View ProjectFilm Industry Financial Analysis Dashboard (Tableau)
November 1, 2025 – November 1, 2025
Created interactive Tableau dashboard analyzing film profitability, worldwide box office revenue trends ($500M+ dataset), and audience score correlations. Utilized calculated fields and LOD expressions to identify ROI patterns across genres, revealing that horror films deliver the highest ROI (avg. 412%) despite lower budgets.
View ProjectAI Fluency Framework and Foundation
Anthropic
January 1, 2026 – Present
Building with the Claude API
Anthropic
January 1, 2026 – Present
Data Analytics Essentials
Cisco Networking Academy
December 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from insurance fraud to e-commerce and film industry analysis, indicates adaptability and a broad interest in applying data science across various domains. Their freelance work and certifications in AI/Data Analytics suggest a proactive learning attitude. The blend of technical and operational roles, along with recent AI certifications, aligns with a growth-oriented culture. However, the lack of direct experience with advanced machine learning models or cloud-native data science platforms might require some upskilling for a Lead Data Scientist role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work, identifying patterns and recommending solutions. Their freelance experience suggests self-motivation and an ability to manage projects independently. The historical roles in database and network administration indicate a detail-oriented and reliable approach to system maintenance and optimization. The project descriptions are clear and quantify impact, suggesting good communication of technical results.