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Data Science with less than a year in Python, SQL, and data analytics
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
June 1, 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
June 1, 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, EDA, dashboarding) suggests an interest in various aspects of data science. The mention of 'Blogging, Book Reading, Solving Creative Puzzles' indicates intellectual curiosity and a problem-solving mindset, which generally aligns well with a data science role. However, without professional experience, the ability to adapt to a corporate culture and collaborate in a professional setting is yet to be proven.
Soft Skills & Operational Fit
The candidate's resume mentions 'problem-solving and data-driven decision-making' in the professional summary, and 'Team Player' under activities. These indicate a foundational understanding of key soft skills. However, without specific behavioral assessment data or interview insights, it's difficult to fully assess operational fit and the depth of these soft skills.