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Data Analyst with less than a year in Data Analysis & Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with skills in Excel, SQL, and data analysis. Strong attention to detail with experience in organizing data, creating reports, and maintaining data accuracy. Quick learner with analytical thinking and a proactive approach to solving problems and supporting team goals.
Malla Reddy College Of Engineering & Technology
B.Tech · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
Resonance Junior College
Intermediate
June 1, 2019 – May 31, 2021
Triveni Talent School
Secondary School Certification
June 1, 2018 – May 31, 2019
Dual Authentication System with Face Recognition
June 1, 2025 – Present
Built an AI model to detect emotions in real-time and provide mental health support resources. Applied deep learning techniques for accurate emotion recognition. Integrated a live camera feature with OpenCV and TensorFlow for quick and reliable results.
Sales Performance Analysis
June 1, 2025 – Present
Analyzed a dataset of sales records to evaluate performance in terms of revenue, profit, and regions. Processed and analyzed raw data using Excel and SQL to obtain accurate results. Created an interactive dashboard using Power BI to track key performance indicators and identify underperforming regions and best-performing products.
Customer & Profit Analysis
June 1, 2025 – Present
Conducted analysis of customer purchase data using SQL joins and aggregate functions. Used revenue and profit analysis to identify valuable customers and profitable segments. Created summary reports in Excel to help inform strategic business decisions.
Intel Unnati Industrial Training
INTEL
June 1, 2026 – Present
Power BI for beginners
Simplilern
June 1, 2026 – Present
AWS Academy Cloud Foundations
AWS
June 1, 2026 – Present
Data Visualization
TATA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Artificial Intelligence & Data Science, coupled with diverse projects ranging from sales analysis to AI-driven emotion detection, suggests a broad interest in data-related fields. The certifications indicate a self-driven individual keen on acquiring new skills. This breadth of interest and proactive learning could contribute positively to a culture that values continuous improvement and diverse perspectives. However, the lack of professional experience limits the ability to assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's profile summary highlights strong attention to detail, quick learning ability, analytical thinking, and a proactive approach to problem-solving, which are beneficial for a Data Analyst role. The academic projects demonstrate an ability to work with data, process it, and present findings, indicating a foundational operational fit. However, without professional experience or psychometric test results, it's difficult to fully assess stress handling, team collaboration, or work attitude.