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Data Science with less than a year in Python, SQL, and Machine Learning.
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 and Data Scientist with a strong foundation in Python, SQL (MySQL), and data analytics. Skilled in data cleaning, data visualization, and building interactive dashboards using Power BI, with exposure to machine learning techniques. Proficient in problem-solving and data-driven decision-making, with the ability to extract insights and support business growth. Passionate about leveraging data science and analytics to solve real-world problems and deliver impactful solutions.
Avanthi St. Theresa
B.Tech · Computer Science Engineering
August 1, 2021 – June 30, 2025
Narayana Junior College
Class XII (Intermediate)
June 1, 2019 – May 31, 2021
Andhra Pradesh Board of Secondary Education
Class X (SSC)
N/A – Present
Sales Performance Dashboard (MySQL, Power BI, Python)
June 23, 2026 – Present
Designed and implemented an interactive Sales Analytics Dashboard to track revenue, regional sales, and customer trends. Collected and cleaned raw sales data using Python (Pandas, NumPy). Built a dynamic Power BI dashboard with KPIs, charts, and drill-down filters for management insights.
Loan Approval & Diabetes Prediction | Machine Learning
June 23, 2026 – Present
Built classification models using KNN, Logistic Regression, and Decision Tree. Performed EDA, preprocessing, and model evaluation. Achieved 85%+ and 80-88% accuracy across datasets.
Python Data Analysis Project (EDA)
August 1, 2025 – September 1, 2025
Gained hands-on experience in data cleaning, processing, and exploratory data analysis using Python with libraries such as NumPy, Pandas, Matplotlib, and Seaborn.
CS-Codenz Internship Completion Certificate
CS-Codenz
June 1, 2026 – Present
CS-Codenz Course Completion Certificate
CS-Codenz
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data science concepts. The diversity of projects (prediction models, dashboards, EDA) indicates a broad interest within the data science domain. The mention of 'Solving Creative Puzzles' aligns with a problem-solving mindset often valued in technical roles. However, without professional experience, the cultural fit assessment is primarily based on academic engagement and stated interests.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving and data-driven decision-making skills. Participation in team sports (Volleyball) suggests an ability to collaborate, which is beneficial for team environments. However, without specific behavioral assessment data or interview insights, a comprehensive evaluation of operational fit and soft skills is limited.