Shikhar Agarwal

Data Science

https://www.opentalent.in/shikhar-agarwal

Data Science with less than a year in Python & SQL

Key Strengths

Strong foundational knowledge in Python, SQL, and data analysis libraries (Pandas, NumPy, Scikit-learn).
Demonstrated ability to apply machine learning algorithms for predictive modeling (e.g., customer churn).
Proficiency in data visualization and business intelligence tools (Power BI, Matplotlib).
Experience with exploratory data analysis (EDA), data preprocessing, and feature engineering.
Academic background in Physics and Electronics & Instrumentation provides a strong analytical and problem-solving base.
Experience with object-oriented programming (Java) indicates broader software development understanding.

Cultural & Operational Fit

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.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

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.

Top Skills

PythonSQLMachine LearningExcel

Education

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

Projects

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.

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.

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.

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.

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.

Key Strengths

Strong foundational knowledge in Python, SQL, and data analysis libraries (Pandas, NumPy, Scikit-learn).
Demonstrated ability to apply machine learning algorithms for predictive modeling (e.g., customer churn).
Proficiency in data visualization and business intelligence tools (Power BI, Matplotlib).
Experience with exploratory data analysis (EDA), data preprocessing, and feature engineering.
Academic background in Physics and Electronics & Instrumentation provides a strong analytical and problem-solving base.
Experience with object-oriented programming (Java) indicates broader software development understanding.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Shikhar Agarwal

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Certifications

Key Strengths

Cultural & Operational Fit