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Data Analyst with 3+ years in Data Analysis, Visualization, and ETL pipeline engineering.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A highly motivated Data Analyst with 3.5 years of professional experience, specializing in data analysis, visualization, and engineering. Proven ability to build robust data pipelines, deliver real-time dashboards, and implement advanced analytics solutions. Possesses strong skills in Python, SQL, Tableau, Power BI, and foundational machine learning. Committed to leveraging data to drive business value and improve decision-making.
Manipal university
Master of Engineering · IOT
August 1, 2018 – June 30, 2020
VTU
Bachelor of Engineering · Electrical and Electronics
August 1, 2014 – June 30, 2018
Merck Life Science
Data Analyst
January 1, 2020 – December 1, 2022
India
Continental AG
Data Science Intern
January 1, 2019 – December 1, 2020
India
Airbnb Market Performance Analytics Dashboard
June 1, 2026 – Present
Developed a Tableau dashboard tracking 6 KPI's including availability, estimated revenue, superhost %, reviews, listings, and average price. Analyzed pricing by bedroom count and Zipcode to identify market and location based trends. Evaluated revenue trends and property distribution to compare listing performance over time. Improved reporting usability through interactive filters and standardized datasets.
E-commerce Pricing Intelligence
January 1, 2023 – June 1, 2026
Scraped and processed 1,000+ book records across 50 pages using Python to capture pricing, ratings, availability, and product links. Cleaned and transformed datasets using Pandas to improve data quality and analysis readiness. Conducted EDA with 5+ visualizations to analyze pricing, ratings, and inventory trends. Automated price tracking and email alerts to reduce manual monitoring effort.
Supply Chain Risk Management Analytics
January 1, 2020 – December 1, 2022
Consolidated disruption, backorder, blocked order, and lead time metrics into centralized dashboards for regional teams. Rebuilt legacy reporting through automated system replication, enabling near real time risk monitoring. Reduced issue resolution and customer response time through integrated risk indicators. Trained 15+ users and managed UAT and performance testing, achieving 80%+ adoption.
Lead Generation and Account Profiling
January 1, 2020 – December 1, 2022
Developed analytics dashboards to identify high growth companies receiving private and government funding. Improved sales pipeline quality through structured account prioritization and early prospect targeting. Implemented scalable pipelines and frontend components for consistent, low latency reporting. Introduced writeback datasets and usage tracking, increasing engagement by 37%.
Intelligent Information Extraction
January 1, 2019 – December 1, 2020
Implemented Python-based OCR and NLP pipelines to automate structured data extraction. Processed 10,000+ documents with validation controls to improve data accuracy. Automated transformation workflows, reducing manual processing effort. Collaborated with business teams to align outputs with reporting needs.
Fundamentals of Data Visualization with Tableau
Coursera
June 1, 2026 – Present
City Bike Trips with Tableau
Coursera
June 1, 2026 – Present
Figma Essential Training
Udemy
June 1, 2026 – Present
Python for Everybody
Coursera
June 1, 2026 – Present
IBM Applied AI
Coursera
June 1, 2026 – Present
100 Days of Code: Complete Python Pro Bootcamp
Udemy
June 1, 2026 – Present
Inventory Management Foundations
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from e-commerce pricing intelligence to supply chain risk management and lead generation, indicates adaptability and a broad interest in applying data analytics across different domains. Their professional experience as a Data Analyst and Data Science Intern aligns well with the target role. The breadth of skills listed (Python, SQL, Tableau, Power BI, NLP, OCR) and certifications further supports a strong cultural fit for a data-driven organization that values continuous learning and versatile skill sets.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in leading UAT, documentation, stakeholder approvals, and user training, indicating a collaborative and results-oriented approach. Their project descriptions highlight problem-solving skills and an ability to translate technical solutions into business impact. The focus on automating processes and improving reporting usability suggests a proactive and efficiency-driven mindset.