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Data Analyst with 1+ years in SQL, Python, & Power BI
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Assessing your cultural and operational fit
Data Analyst with 1 year of experience in SQL, Python, Power BI, and data automation across edtech, pharma, and gaming domains. Skilled in dashboard development, data cleaning, ETL workflows, and business reporting. Familiar with NLP concepts including TF-IDF, Word2Vec, RNN, and LSTM for text analytics applications.
Indira Gandhi National Open University
PGDAST · Statistics
January 1, 2026 – December 1, 2026
Lepakshi Degree College
B.COM · Computers Applications
August 1, 2014 – May 1, 2017
PI Techno-Hub
Data Analyst Intern
July 1, 2025 – February 1, 2026
Bengaluru, Karnataka, India
Red Switch
Data Analyst Intern
April 1, 2025 – June 1, 2025
Bengaluru, Karnataka, India
AFK Gaming
Data Analyst Intern
May 1, 2024 – August 1, 2024
Mumbai, Maharashtra, India
Self Employed
Self Employed
January 1, 2021 – March 1, 2024
Proddatūr, Andhra Pradesh, India
Supply Chain & Order Tracking Dashboard
June 25, 2026 – Present
Tracked 4,722 orders across 3 store locations with real-time visibility into shipped (4,214) and pending (508) orders, segmented by category, year, and shipping status. Built DAX measures including Revenue ($7.69M), YoY Growth (42.01% peak), AOV, and Order Completion Rate with dynamic slicers for store, category, and shipping filters. Identified NY as top revenue state (67.83%) and Trek Slash as best-selling product ($0.56M), enabling data-driven inventory and sales decisions across regions.
Credit Card Transaction Analytics using SQL
June 25, 2026 – Present
Business had no visibility into spending patterns - analyzed 26K+ transactions using SQL Server to segment customers by behavior and location. Applied CTEs, window functions, and aggregations to identify peak periods and high-value customer categories. Insights improved targeted marketing effectiveness by 15%, enabling data-driven campaign decisions.
Cultural Fit Analysis
The candidate's project diversity across edtech, pharma, and gaming, along with personal projects, indicates adaptability and a broad interest in applying data analysis to different industries. The focus on improving efficiency and providing actionable insights aligns well with a results-oriented culture. However, the experience is primarily internship-based, which might require more mentorship in a full-time senior role.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills through project descriptions, such as identifying underperforming markets and improving reporting accuracy. Their experience in automating workflows suggests an operational mindset focused on efficiency. Stakeholder communication is mentioned as a soft skill, which is crucial for a Data Analyst role.