Data Science with less than a year in Data Analysis & 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 with skills in Python, SQL, Power BI, and Machine Learning, along with hands-on experience in data analysis, visualization, and predictive modeling. Developed real-world projects in retail marketing A/B testing, customer churn prediction, AI-based resume screening, and business analytics using data-driven approaches. Skilled in data cleaning, statistical analysis, dashboard creation, and generating actionable insights to support business decision-making.
Laxmi Narayan Group of College, Bhopal
Master of Computer Application · Artificial Intelligence & Machine Learning
August 1, 2022 – June 30, 2024
Zalima Development
Data Science and Machine learning Intern
May 1, 2025 – August 1, 2025
India
Retail Marketing A/B Testing Analysis
June 1, 2026 – Present
Conducted A/B testing analysis to evaluate the effectiveness of retail marketing campaigns. Utilized Python, Hypothesis Testing, and Logistic Regression for data analysis and conversion prediction.
Predicting Bank Customers Using Classification Algorithms
June 1, 2026 – Present
Conducted churn prediction for savings account customers using statistical and machine learning models. Achieved 78% accuracy with Random Forest, identified as the most effective model for the scenario.
E-Commerce Customer Behavior Analysis & Dashboard
June 1, 2026 – Present
Performed data analysis using SQL with joins, aggregations, and filtering across customer, orders, and product datasets. Analyzed transactional data to identify top customers, revenue trends, and high-performing product categories. Built an interactive dashboard in Power BI to track KPIs such as total revenue, orders, and sales performance.
AI Based Resume Screening System
June 1, 2026 – Present
Built a Stream-lit-based tool to classify resumes into relevant job categories using NLP and ML Models. Utilized Python, NLTK, Scikit-learn, TF-IDF, and Stream-lit for deployment.
Cybersecurity Training
Cisco Network Academy
June 1, 2026 – Present
IBM Data Analyst Professional Certificate
IBM
June 1, 2026 – Present
Foundation to AI Data Science & Data Analytics
Samatrix.io
June 1, 2026 – Present
CCSK Foundation Training
Cloud Security Alliance
June 1, 2026 – Present
IBM Introduction to Data Analytics Certificate
IBM
December 28, 2025 – Present
Cultural Fit Analysis
The candidate shows a strong interest in Data Science and AI, aligning well with a data-driven culture. The diversity of projects (NLP, fraud detection, A/B testing, churn prediction) suggests adaptability and a willingness to explore different domains. However, the lack of team-based projects or collaborative experience makes it difficult to fully assess cultural fit beyond individual contributions.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and project execution, as evidenced by multiple personal projects and certifications. The internship experience shows an ability to apply theoretical knowledge to real-world problems. However, the experience level is very junior, which might impact operational fit for a senior role requiring independent decision-making and leadership.