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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
Data Scientist with strong proficiency in SQL (PostgreSQL), Excel, Python (Pandas, NumPy), and Core Java concepts including Arrays, Strings, Exception Handling, and Collections Framework. Experienced in product analytics, business intelligence, KPI tracking, dashboard development, cohort analysis, and data cleaning. Skilled in analyzing user acquisition, retention, churn, and conversion funnels to support product and growth decisions. Passionate about building data-driven systems, problem-solving, and delivering actionable insights to cross-functional teams.
CMR University
B-Tech · Computer Science and Engineering (AIML)
August 1, 2022 – June 30, 2026
SSV Junior College
Senior Secondary
June 1, 2020 – May 31, 2022
A.V.R E-techno School
Secondary
June 1, 2019 – May 31, 2020
Customer Churn Prediction System
April 1, 2026 – Present
• Developed a machine learning model to predict customer churn using customer demographic and transactional data. • Performed data cleaning, feature engineering, and exploratory data analysis to identify key churn indicators. • Trained and evaluated classification models using metrics such as Accuracy, Precision, Recall, and F1-Score. Created visual reports and dashboards to monitor churn trends and support customer retention strategies.
A/B Testing & User Behavior Analysis
November 1, 2024 – Present
• Analyzed experimental data to evaluate product feature performance • Conducted hypothesis testing and calculated p-values to determine statistical significance • Measured impact on conversion rate and user engagement metrics • Presented clear recommendations to stakeholders based on statistical findings
The Complete Developer's Guide to MongoDB
Udemy
April 1, 2025 – Present
Building Recommender Systems with Machine Learning and AI
Udemy
April 1, 2025 – Present
Introduction To NOSQL Databases
Infosys Springboard
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications show a strong interest and foundational alignment with data science. The diversity of projects (churn prediction, A/B testing) and skills (ML, SQL, visualization) suggests adaptability and a broad understanding of data science applications. The target role of Data Science aligns well with the candidate's stated profile and demonstrated skills. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through certifications and academic projects. The project descriptions indicate an ability to work with data, analyze problems, and present findings, which are crucial for operational fit in a data science role. However, without direct work experience, the ability to handle real-world project complexities, stress, and team collaboration in a professional setting is yet to be validated.