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Data with less than a year in Python, Power BI & AI/ML.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate about turning data into decisions. B.Tech graduate in Computer Science (AI & ML) with strong hands-on skills in Python, SQL, Power BI, Pandas, and Excel. Experienced in dashboard development, KPI reporting, and large-scale data analysis, with a sharp analytical mindset, Agile knowledge, and practical exposure to AI tools and prompt engineering.
Aurora's Technological and Research Institute, Hyderabad
Bachelor of Technology · Computer Science and Engineering (AI & ML)
January 1, 2021 – January 1, 2024
Semi-Supervised ML Approach for DDoS Detection
January 1, 2024 – January 1, 2024
Clustered network traffic data using K-Means and clustering methods to extract keys and identify attack patterns. Trained ML models – KNN (95%), SVM (92%), and Random Forest (96.66%) validated on benchmark datasets.
E-Commerce Sales Analysis Dashboard
January 1, 2024 – January 1, 2024
Designed a comprehensive E-Commerce Sales Dashboard in Power BI using advanced data analysis and visualization. Analysed key metrics: Total Sales Revenue (438K), Profit (37K), and Average Order Value (121K) for actionable insights. Identified profitable months (Jan, Feb, Mar, Nov) and underperforming months (May, Jul) to guide strategic planning.
Sales Insights Using Data Analysis
January 1, 2024 – January 1, 2024
Analysed ₹985M revenue and 2M sales quantity (2017–2020) using Power BI; Delhi NCR led with ₹520M revenue and 988K units. Key contributors: Mumbai (150M, 384K) and Ahmedabad (132M, 207K); top performers: Electrical Sara Stores (413M) and Prod318 (₹69M).
Career Essentials in Data Analysis
Microsoft & LinkedIn
June 1, 2026 – Present
Microsoft Excel
Coursera & Udemy
June 1, 2026 – Present
Data Visualization with Power BI
Great Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on data analysis and machine learning, aligning well with a 'Data' target role. The diversity of projects (academic ML, e-commerce sales analysis, general sales insights) shows a breadth of application for data skills. The academic background in Computer Science (AI & ML) further supports this alignment. However, the lack of professional experience means cultural fit in a corporate environment is unproven.
Soft Skills & Operational Fit
The candidate lists verbal communication, presentation skills, problem-solving, team collaboration, and adaptability as soft skills. These are generally positive for operational fit, but there is no direct evidence from completed tests or work experience to validate these claims. The academic and personal projects suggest an ability to work independently on defined tasks.