Entry-level Data Analyst with Python, SQL, and Power BI skills for actionable insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B-Tech graduated and Data Analyst Fresher skilled in Python, SQL, Power BI, and Excel with experience in data cleaning, data modeling, EDA, and dashboard development. Demonstrated ability to automate reports, perform statistical analysis, build BI dashboards, and deliver actionable insights. Strong foundation in ETL concepts, KPI tracking, business reporting, and dataset transformation. Aiming to contribute by analyzing data and supporting decision-making processes.
Krishna University
B-Tech · Electronics and Communication Engineering
January 1, 2022 – January 1, 2025
VKR & VNB Poly Technique
Diploma · Electronics and Communication Engineering
January 1, 2019 – January 1, 2022
Ac Price Analysis Using Python & Web Scrapping
June 16, 2026 – June 1, 2026
Collected and cleaned over 1800+ product listings from e-commerce websites using Python web scraping and conducted in-depth Exploratory Data Analysis (EDA) to uncover brand and seasonal price patterns across regions and product types. Analyzed price trends by grouping items into five price ranges, revealing a 12% average price rise in mid-tier products. Compared brand impact, noting premium brands accounted for 35% of total sales, with an average price 20% higher. Applied correlation analysis, establishing a 0.65 correlation between brand tier and sales, confirming a strong, positive influence. Final results showed distinct price variations across bands, enabling tailored pricing strategies for each segment.
View ProjectBank Fraud Detection using SQL
June 16, 2026 – June 1, 2026
Evaluated 2,000+ bank account records to derive metrics like unique account counts, average age (X years), and total bank balance (sum: Y). Investigated transaction types and channels, achieving a 20% improvement in query efficiency by optimizing SQL logic. Detected large-value online debits over 15,000 in 2.5% of accounts, indicating potential fraud risks. Identified accounts with negative balances and flagged duplicates with overlapping transactions, improving anomaly detection accuracy. Streamlined daily transaction analysis, reducing processing time by 25%, enabling faster fraud detection workflows.
View ProjectGlobal EV Sales Analysis
January 1, 2010 – January 1, 2024
Analyzed EV sales data from 2010-2024 across 15+ countries to evaluate adoption trends and market expansion. Identified year-on-year growth exceeding up to 40% in emerging markets. Compared regional contribution and found top 5 countries contributing nearly 50-60% of total sales volume. Designed KPI dashboard tracking growth rate, cumulative sales, and regional distribution to support market performance review.
View ProjectData Analytics Job Simulation
Deloitte
June 1, 2026 – Present
SQL
Hacker Rank
June 1, 2026 – Present
Data Analytics Professional Certificate
Innomatics Research Labs
June 1, 2026 – Present
Python and Power BI
Innomatics Research Labs
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in data analytics across various domains (e-commerce, finance, automotive), indicating versatility and a willingness to explore different data challenges. The pursuit of multiple certifications further shows initiative and a commitment to skill development, which aligns with a culture of continuous learning. The projects are personal, which is typical for an entry-level candidate, but they show self-motivation. The target role of 'Data Analytics' is well-aligned with the skills and projects presented.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to analyze data, identify patterns, and streamline processes, suggesting a methodical and problem-solving approach. The focus on delivering actionable insights and improving efficiency indicates a results-oriented mindset. However, without direct work experience, it's difficult to assess collaboration or stress handling capabilities.