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Data Analyst with less than a year in Data Cleaning, Reporting & SQL
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Assessing your cultural and operational fit
Results-driven Data Analyst with hands-on experience across the full analytics lifecycle — data cleaning, pipeline development, dashboard design, and business reporting. Proficient in SQL, Python, Power BI, and dbt, with practical project work in BigQuery and Google Cloud. Currently contributing to an AI/LLM data practice at Innodata India in a remote capacity. Strong communicator with a consistent record of translating complex data into clear, non-technical insights for business stakeholders. Detail-oriented, self-driven, and actively building toward analytics engineering. Maintained 100% accuracy delivery across every professional role.
Sundarrao Solanke Mahavidyalaya, Dr. Babasaheb Ambedkar Marathwada University
Bachelor of Computer Applications (BCA) · Computer Applications
N/A – June 30, 2025
Innodata India Pvt. Ltd.
Analyst - AI/LLM Practice
April 1, 2026 – Present
India
Highbrow Technology Inc.
Quality Analyst
December 1, 2025 – January 1, 2026
India
Human Initials
Data Analyst Intern
May 1, 2025 – August 1, 2025
India
Retail Analytics Dashboard
June 24, 2026 – Present
Built a Python data cleaning pipeline using pandas to prepare a raw retail dataset for Power BI ingestion. Designed interactive Power BI dashboards with DAX measures to track sales KPIs, revenue trends, and category performance. Documented cleaning methodology, DAX formula reference, and dashboard walkthrough in structured project reports.
View ProjectE-commerce Sales Analysis
June 24, 2026 – Present
Analysed a large-scale e-commerce dataset using Python and SQL to surface YoY revenue growth and customer behaviour patterns. Applied moving-average smoothing and correlation analysis to identify seasonality and retention trends. Built multi-page Power BI dashboards covering order volumes, category breakdown, and year-over-year comparisons.
View ProjectHotel Booking Cancellation Analysis
June 24, 2026 – Present
Performed end-to-end EDA on a hotel booking dataset using Excel pivot tables, slicers, and charts. Identified lead time, deposit type, and market segment as the primary cancellation drivers. Proposed data-backed pricing and booking-window strategies estimated to reduce cancellation rate by ~15%.
View ProjectPaid Ads - Common Data Model
June 24, 2026 – Present
Unified Facebook Ads and TikTok Ads data into a single canonical dbt mart, eliminating cross-channel KPI inconsistencies. Designed staging, intermediate, and mart layers with full dbt schema tests, source freshness checks, and auto-generated docs. Delivered a Looker Studio report standardizing CPC, CPE, and CPA definitions across all ad channels.
View ProjectMaster Power BI Workshop
Office Master
June 1, 2026 – Present
Digital Workspace Support Pre-Skilling
Unknown
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including retail analytics, e-commerce, hotel booking, and paid ads data models, shows a broad interest in applying data analysis across different domains. Their continuous learning initiative and focus on advancing towards analytics engineering align well with a growth-oriented culture. The content creation activity also highlights creativity and the ability to engage with a broad audience, which can be valuable for data storytelling.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, evidenced by achieving 100% accuracy in quality assurance roles and meticulous documentation in data projects. Their experience in remote collaboration and managing high-volume tasks indicates good operational fit. The content creation background suggests strong communication and storytelling abilities, which are crucial for a Data Analyst role.