With 1 year of experience as a Data Associate at Numerator, I bring a strong analytical mindset and problem-solving abilities to the field of data science. Proficient in Excel, SQL, and Power BI, I excel at data manipulation, analysis, and visualization. I hold an M.Sc. in Physics from IIEST Shibpur, qualified IIT JAM with AIR 972, and graduated with a B.Sc. (Honors) in Physics from MSU Baroda. Outside work, I enjoy chess, basketball, and writing poetry, which enhances my communication skills and attention to detail.
0 + Projects completed
With 1 year of experience as a Data Associate at Numerator, I bring a strong analytical mindset and problem-solving abilities to the field of data science. Proficient in Excel, SQL, and Power BI, I excel at data manipulation, analysis, and visualization.
Numerator is a data and tech company reinventing the market research industry with first-party, consumer-sourced data.
Grade:8.13 CGPA
Grade: 6.6 CGPA
Below are the sample Data Analytics projects on Excel, SQL, Python, Power BI & ML.
The objectives of this project are threefold. We aim to utilize the provided sample data and mock-up dashboard to create metrics as outlined in the metric list. We will develop a comprehensive dashboard that aligns with the stakeholders' mock-up. Additionally, we strive to generate relevant insights beyond the given metric list and mock-up dashboard..
Performed ad-hoc analysis, this project contains SQL queries and their respective outputs in tabular form, answering questions posed by stakeholders of a pizza shop. This will help them to take informed decision to increase their revenue/sales.
The objective of this project is to perform a detailed analysis and create a dashboard of retail sales of a coffee shop to gain actionable insights so that stakeholders can take required actions based on generated insights.
In order to monitor and assess our bank's lending activities and performance, we need to create a comprehensive Bank Loan Report. This report aims to provide insights into key loan-related metrics and their changes over time. The report will help us make data-driven decisions, track our loan portfolio's health, and identify trends that can inform our lending strategies.
The Restaurant Rating Prediction Project is a machine learning-based application that predicts the ratings of restaurants based on various features. Leveraging data analysis and predictive modeling, this project aims to provide insights into the factors influencing restaurant ratings, ultimately assisting users in making informed decisions about where to dine.
Vadodara, India