Rajat Sanwal
Data ScienceAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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 Science with less than a year in Business and Data Analytics with 1 month of internship experie
Rajat Sanwal is an M.Tech student specializing in Biomanufacturing, with a keen interest in Business Analytics, Data Analytics, and Product Management. He has gained practical experience as a Growth & Strategy Intern, focusing on market penetration, sales funnel optimization, and KPI analysis. His project work demonstrates strong skills in exploratory data analysis, data visualization using Python and Tableau, and machine learning model development for sales prediction, making him a versatile candidate for data-driven roles.
Indian Institute of Technology, Roorkee
M.Tech. · Biomanufacturing
August 1, 2023 – June 30, 2024
G.B Pant university of agriculture and technology Pantnagar, Uttarakhand
Graduate
August 1, 2019 – June 30, 2023
DAV Centenary public school Haldwani, Nainital Uttarakhand.
Intermediate · Class XII
June 1, 2018 – May 31, 2018
DAV Centenary Public School Haldwani, Nainital Uttarakhand.
Matriculate · Class X
June 1, 2016 – May 31, 2016
My Analytics School
Growth & Strategy Intern
June 1, 2025 – July 1, 2025
India
Exploratory data Analysis on IPL
July 1, 2025 – August 1, 2025
Conducted an extensive exploratory data analysis (EDA) on the IPL dataset from 2008 to 2019 to gain insights into player performance and team achievements. Cleaned and pre-processed the data using powerful Python libraries such as Pandas and Numpy in Jupyter Notebook to ensure data quality and consistency. Utilized data visualization tools like Matplotlib and Seaborn to generate a wide range of visually appealing charts and plots to analyze the data. Employed bar charts, pie charts, and other visualization techniques to extract critical insights into player performance and team performance across seasons.
Data Analysis on Employee Data using Tableau-SQL
July 1, 2025 – August 1, 2025
Merged multiple tables of Employee datasets and Performed Data Analysis using MySQL Workbench. Executed Joins, Views, Subqueries, and Advanced queries for department-wise analysis of KPIs such as salary, employee counts, gender ratio and span of control for the company. Transferred the data & organized different charts into an Interactive Dashboard using Tableau Public. Tools and technologies used: MySQL, MySQL Workbench, and Tableau Public.
Big Mart Sales Prediction
May 1, 2025 – May 1, 2025
Conducted an in-depth analysis to understand the significant properties of products and stores that impact sales. Performed exploratory data analysis on the Bigmart 2013 sales data for 1559 products across ten stores in different locations to identify patterns and insights. Developed and implemented machine learning models such as Linear Regression, Decision Tree, and Random Forest to predict the sales of each product at a particular store. Employed various techniques such as imputation of missing values, data preprocessing, and feature engineering to improve the model's accuracy to 90%.
Cultural Fit Analysis
The candidate's involvement in a university-level NGO and sports team indicates a willingness to engage in community and team activities, suggesting a positive cultural fit. The project diversity, covering sports data, sales prediction, and employee data analysis, shows a broad interest in applying data science across different domains. The target role of Data Science aligns well with the candidate's project experience and stated area of interest.
Soft Skills & Operational Fit
The candidate's internship at My Analytics School demonstrates an ability to apply analytical frameworks to business problems, optimize team performance using KPIs, and develop scalable strategies. Participation in university-level kabaddi suggests teamwork and strategic thinking. However, the descriptions are somewhat generic and lack specific details on challenges faced or individual contributions beyond 'applied' or 'leveraged'.