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Data Analyst with 1+ years in data analysis, visualization & reporting
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Assessing your cultural and operational fit
Fresher Data Analyst with 1.5 years of hands-on analytics experience embedded in a live business environment — tracking KPIs, building dashboards, and running data-driven analysis on real customer datasets. Proficient in Python (Pandas, NumPy), SQL, Power BI, and Tableau, with two independent portfolio projects spanning e-commerce sales intelligence and global stock market analysis. Seeking a junior Data Analyst role where I can turn messy data into decisions that move the needle.
University of Mysore
Bachelor of Commerce (B.Com) · Commerce
August 1, 2020 – June 30, 2023
Bright PU College, K R Nagar
Pre-University (PUC)
June 1, 2018 – May 31, 2019
SJBS Balajagath, Chunchanakatte
SSLC
June 1, 2017 – May 31, 2017
Yashtel Broadband
Customer Support Executive (Data & Analytics Focus)
November 1, 2023 – June 1, 2025
Mysore, Karnataka, India
E-Commerce Sales Performance Analysis
June 21, 2026 – Present
• Surfaced 3 underperforming product categories responsible for 18% revenue leakage by analysing 5,000+ transaction records using Python (Pandas) and SQL, enabling targeted pricing recommendations. • Reduced data preparation time by 60% by building a reusable ETL pipeline with automated cleaning, encoding, and feature scaling - cutting ad-hoc analysis from hours to minutes. • Increased report clarity for non-technical stakeholders by developing an interactive Power BI dashboard with 6 KPI tiles, replacing a static 40-row Excel sheet previously used for business reviews. • Validated a 22% seasonal sales uplift hypothesis through A/B testing and statistical significance testing, providing evidence-backed recommendations for inventory planning.
View ProjectGlobal Stock Market Analysis
June 21, 2026 – Present
• Identified a 0.78 correlation between US and Asian market indices during post-COVID recovery phases by analysing time-series OHLCV data across 5 global markets, supporting a diversification insight for portfolio strategy. • Reduced signal noise by 35% by engineering 8 derived features (moving averages, volatility bands, RSI proxies) from raw stock data, improving trend visibility across 3-year datasets. • Communicated complex financial patterns to a non-technical audience by producing a 12-chart Matplotlib report, structured around a data storytelling narrative from volatility to recovery.
View ProjectPython with Data Analysis
PySpider Institute, Mysore
June 1, 2026 – Present
Deloitte Australia Data Analytics Job Simulation
Forage
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, spanning e-commerce sales and global stock market analysis, indicates a broad interest in applying data analytics across different domains. Their experience in a customer support role with a data and analytics focus, coupled with personal projects, shows initiative and a proactive approach to skill development. The emphasis on teamwork and stakeholder communication in their soft skills also suggests a collaborative mindset, which is beneficial for cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and stakeholder communication skills through their project descriptions and work experience. Their ability to translate complex data into actionable business intelligence and communicate it to non-technical audiences indicates a good operational fit for a data analyst role. The focus on reducing resolution times and improving reporting accuracy aligns with operational efficiency goals.