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Data Science with less than a year in Python & SQL
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Assessing your cultural and operational fit
Highly analytical and driven recent graduate with a dual degree in M.Sc. Physics and B.E. Electronics & Instrumentation from BITS Pilani, Goa Campus. Passionate about uncovering actionable insights from complex data using Python, SQL, AI/ML, and Power BI. Seeking to leverage strong analytical, statistical, and problem-solving skills to contribute as a Data Scientist or Data Analyst in a growth-oriented organization.
BITS Pilani, K.K. Birla Goa Campus
Dual Degree Program · Physics and Electronics & Instrumentation
August 1, 2021 – June 30, 2026
DPS Bopal
Higher Secondary Education · Class XII
N/A – May 31, 2021
Customer Churn Prediction
January 1, 2026 – June 1, 2026
Developed a machine learning model to predict customer churn using classification algorithms and behavioral datasets. Conducted feature engineering, data preprocessing, and exploratory data analysis to improve model performance. Evaluated model accuracy using precision, recall, F1-score, and confusion matrix analysis. Identified major factors contributing to customer attrition and generated insights to support retention strategies.
Interactive User Interface Development
January 1, 2026 – June 1, 2026
Designed and developed a graphical user interface (GUI) application from scratch using Java and Object-Oriented Programming principles. Structured the application using encapsulation, inheritance, and polymorphism to improve scalability and maintainability. Streamlined user interactions and backend data handling to deliver a seamless and efficient user experience.
Amazon Data Analysis
January 1, 2026 – June 1, 2026
Performed exploratory data analysis on Amazon product datasets to identify key factors influencing product returns and customer retention. Derived actionable insights by analyzing customer behavior patterns, purchase trends, and return frequencies. Built data-driven hypotheses to improve retention strategies and reduce return rates. Visualized findings using structured dashboards and plots to effectively communicate insights.
Grocery Store Sales Analysis
January 1, 2026 – June 1, 2026
Analyzed grocery store transaction datasets to identify purchasing patterns, seasonal demand trends, and high-performing product categories. Performed exploratory data analysis (EDA) and data preprocessing to clean and organize retail datasets. Generated insights on customer buying behavior and inventory movement to support business optimization strategies. Created interactive dashboards and visual reports using Power BI to communicate sales trends and operational insights.
Understanding Magnetometer Using Quantum Optics
May 1, 2025 – May 1, 2026
Conducted in-depth research on quantum optic magnetometers, developing mathematical and statistical models to evaluate system sensitivity and performance. Analyzed complex experimental datasets to extract meaningful signals from high-noise environments using statistical validation techniques. Leveraged multidisciplinary principles from physics and electronics to solve complex measurement problems and present findings to domain experts.
Data Science & Full Stack Development Certification
AlmaBetter
June 1, 2026 – Present
Data Science Certification
NextLeap
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in data science and analytics, aligning well with the target role. The diversity of projects, from customer churn prediction to sales analysis and even quantum optics research, shows a broad intellectual curiosity and adaptability. However, all projects are academic, indicating a lack of real-world industry experience, which might require more mentorship and ramp-up time in a professional setting. The dual degree in Physics and Electronics & Instrumentation suggests a strong quantitative background, which is a good fit for data science.
Soft Skills & Operational Fit
The candidate's project descriptions highlight analytical thinking, problem-solving, and the ability to derive actionable insights from complex datasets. The 'Understanding Magnetometer' project also indicates research capabilities and the ability to work with high-noise environments, which are valuable for data science roles. The mention of 'Technical Writing' as a core competency suggests good documentation skills.