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Data Analyst with less than a year in predictive analytics & data 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
Motivated Information Technology student with strong analytical, problem-solving, and data interpretation skills. Proficient in SQL, Excel, Python, Pandas, NumPy, and data visualization techniques. Experienced in developing data-driven projects involving predictive analytics, dashboard creation, and business insights generation. Seeking a Data Analyst opportunity to leverage technical and analytical skills to support data-driven decision-making and business growth.
Andhra University College of Engineering
Bachelor of Technology (B.Tech) · Information Technology
August 1, 2023 – June 30, 2026
Sanketika Polytechnic College
Diploma · Computer Engineering
August 1, 2020 – June 30, 2023
Marvel School
SSC (10th Standard)
June 1, 2015 – May 31, 2020
RetailAI - Smart Inventory Management System
June 1, 2025 – June 1, 2026
Analyzed inventory and sales datasets to identify demand patterns and business trends. Developed forecasting models to support inventory optimization and decision-making. Built dashboards and reports for monitoring operational performance. Performed data validation and quality checks on large datasets. Generated insights that supported inventory and sales strategy improvements.
TrafficTelligence - Traffic Volume Prediction System
June 1, 2025 – June 1, 2026
Developed predictive models using machine learning techniques to forecast traffic volume patterns. Performed data cleaning, feature engineering, and exploratory data analysis on large transportation datasets. Evaluated model performance using statistical metrics and regression techniques. Generated business insights through visualization and trend analysis. Built an interactive Streamlit dashboard for real-time prediction and reporting.
SQL Basic Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects, 'RetailAI - Smart Inventory Management System' and 'TrafficTelligence - Traffic Volume Prediction System', showcase diversity in application domains (retail and transportation) for data analysis. The technologies used (Python, ML, Streamlit, SQL, MongoDB) align well with typical data analyst toolkits. The candidate's academic background in Information Technology and Computer Engineering, combined with self-driven learning (LeetCode, ML coursework), indicates a strong inclination towards technical roles and continuous improvement. The target role of Data Analyst is a good fit for the demonstrated skills and project experience.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, which are critical for a Data Analyst role. Their project descriptions indicate an ability to translate data into business insights and support decision-making. The mention of actively practicing coding and debugging suggests a proactive approach to skill development. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.