Data Analyst with 7+ years in BI, analytics, and operations
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Assessing your cultural and operational fit
Operations and analytics professional with 7+ years of experience in KPI reporting, SLA management, and stakeholder operations across mortgage and client servicing environments. Transitioning into Data Analytics through hands-on projects in SQL, Power BI, Tableau, and Python, with experience building business intelligence dashboards, operational reporting systems, and analytical solutions across aviation, retail, and real estate datasets. Strong foundation in translating business operations into data-driven decisions.
Dayananda Sagar Institutions
B.Com · Finance
August 1, 2014 – June 30, 2017
SkilloVilla
Certified Data Analyst
N/A – April 1, 2026
Labmentix
Data Analyst Intern
April 1, 2026 – Present
Bengaluru, Karnataka, India
Xarm Experiential
Client Servicing Manager
July 1, 2024 – August 1, 2025
Bengaluru, Karnataka, India
First American India
Subject Matter Expert
December 1, 2021 – June 1, 2024
Bengaluru, Karnataka, India
First American India
Senior Process Associate / Process Associate
January 1, 2018 – November 1, 2021
Bengaluru, Karnataka, India
KPI & SLA Operations Dashboard
June 16, 2026 – March 1, 2026
Built an operational analytics dashboard tracking KPIs and SLA compliance across 10,000+ records using PostgreSQL, star schema modelling, and three Power BI pages with DAX measures for breach rates and trend analysis. Directly mirrors the SLA reporting environment from First American India – demonstrating how 7 years of operations experience translates into a production-ready BI solution.
View ProjectU.S. Airline Performance & Delay Analysis
June 16, 2026 – June 1, 2026
Analysed 1M+ flight records in PostgreSQL – built a cleaned view, 6 KPI SQL views using window functions and RANK() OVER, covering on-time performance, delay causes, and cancellation rates across 14 airlines and 315 airports. Built a 3-page Power BI dashboard with DAX measures and geographic congestion map – surfacing that weather drives only 5.44% of delays while carrier and late aircraft issues account for nearly 70%, with a 23-point OTP gap between best and worst airline.
View ProjectReal Estate Investment Advisor
June 16, 2026 – April 1, 2026
Built predictive pricing and investment scoring models on 250,000 Indian housing records using Python and Scikit-learn, with feature engineering covering Infrastructure Score, Floor Ratio, and Price Segment. Deployed as a live Streamlit application providing investment recommendations and confidence scoring for property decisions.
View ProjectRetail Sales & Inventory Intelligence System
June 16, 2026 – June 1, 2026
Designed a 9-table PostgreSQL relational database with 10 analytical SQL queries and 4 reusable views to analyse sales, inventory, staff output, and shipment health across 3 stores and 1,600+ orders. Delivered a 3-page Power BI dashboard revealing Baldwin Bikes drives 67% of revenue ($5.2M of $7.69M) while 39% of all orders are delayed or unshipped, concentrated in high-value product categories.
View ProjectData Analytics Job Simulation
Deloitte Australia
May 1, 2026 – Present
Data Visualisation Job Simulation
Tata Group
April 1, 2026 – Present
Technology Consulting Job Simulation
Accenture Australia
April 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong drive for self-improvement and career transition into data analytics, as evidenced by numerous personal projects and certifications. Their background in operations and client servicing suggests a practical, problem-solving mindset and an ability to work with diverse business requirements. The project diversity (aviation, retail, real estate) indicates adaptability and a broad interest in applying data analytics across different domains, which aligns well with a dynamic work environment.
Soft Skills & Operational Fit
The candidate demonstrates strong operational acumen, attention to detail, and a results-oriented approach from their previous roles. Experience in SLA management, quality assurance, and process improvement indicates a solid understanding of operational efficiency and stakeholder reporting. The ability to train and mentor associates also points to leadership potential and good communication skills within a team setting.