About
Motivated MSc Data Science student at Christ (Deemed to be University) aspiring to excel as a data scientist. Proficient in Python, SQL, and Tableau, I analyze data, extract actionable insights, and create impactful visualizations to drive informed decision-making and achieve optimal results.
Data Scientist
I am a Data Scientist with a strong background in software engineering; and used to handling a variety of data pipelines and databases, included unstructured ones. I have prototyped four products, and I am looking for product oriented role (also consulting), possibly building from scratch.
- Birthday: 21 June 2001
- Phone: +91 9182855809
- City: Bangalore, Karnataka
- Age: 22
- Degree: Master
- Email: rudrakshi.saikumar28@gmail.com
Skills
Languages : Python | Java | SQL | HTML
Tools : MySQL | Web Analytics | Tableau | Microsoft Power BI | GIT
Soft Skills : Leadership | Public Speaker | Time Management
Resume
Highly motivated MSc Data Science student with strong analytical skills, adept at extracting actionable insights from complex datasets. Proficient in Python, SQL, and Tableau, seeking a collaborative environment to apply cutting-edge data science techniques for innovative solutions
Sumary
Rudrakshi Sai Kumar
Driven data scientist with a strong inclination towards constructing effective models to address challenges. Possesses expertise in machine learning, programming, and innovative thinking. Actively pursuing opportunities to utilize these skills in delivering data-driven solutions.
- Bangalore, Karnataka
- (+91) 9182855809
- rudrakshi.saikumar28@gmail.com
Education
Master of Science & Data Science
2022 - 2024
Christ(Deemed to be University), Bangalore
Data science is a multidisciplinary field that collects and analyses large data sets to draw deep insights. Data insights are used to make informed business decisions, gauge market demand, understand customer requirements, develop a product, etc.
Bachelor of Science & Mathematics, Statistics, and Computer Science
2019 - 2022
GITAM University, Hyderabad, Telangana
Bachelor of Science in Mathematics, Statistics and Computer Science is a three-year degree programme which provides a strong foundation in Mathematics, Statistics and Programming. Students can opt for careers in the IT sector, particularly in Programming and Software Engineering.a
Projects
BigMart Sales Prediction
Objective
To apply my data science expertise and predictive modeling skills to develop accurate sales prediction models for Big Mart. With a deep understanding of data analysis, machine learning algorithms, and statistical modeling, my goal is to leverage historical sales data, customer demographics, and other relevant factors to forecast future sales trends. By employing advanced techniques and exploring various variables, I aim to optimize sales strategies, identify growth opportunities, and enhance overall business performance. Through my dedication and analytical mindset, I am committed to delivering actionable insights that drive data-based decision-making, leading to increased revenue and operational efficiency for Big Mart.
Applicability
The direct application of the project will be in the across diverse domains, including market research, healthcare, social sciences, finance, transportation, environmental science, education, and government. It enables organizations to gather valuable information for analysis and decision-making. In market research, data collection helps understand consumer behavior and market trends. In healthcare, it aids in medical research and improving patient care. Social sciences benefit from data collection for studying human behavior. Finance relies on data collection for risk management and investment decisions. Transportation and logistics optimize operations through data collection. Environmental science monitors environmental factors. Education uses data collection for program evaluation. Government and public policy benefit from data collection for evidence-based policymaking.
Methodology
The methodology for BigMart sales prediction involves problem understanding, data collection, preprocessing, exploratory data analysis, feature engineering, model selection (e.g., regression, time series, or machine learning), training, evaluation, result interpretation, and deployment. The objective is to leverage historical sales data, product attributes, store information, and promotions to build accurate prediction models. Data is cleaned, transformed, and analyzed to derive meaningful insights. Features are engineered, and models are trained, evaluated, and fine-tuned. The final models are deployed and monitored for ongoing performance. This methodology ensures a systematic and rigorous approach to generate reliable sales predictions, aiding in effective decision-making and business planning.
Scope
The scope of BigMart sales prediction includes utilizing historical sales data, product attributes, store information, and promotions to develop accurate models for forecasting future sales trends. The focus is on generating insights, optimizing sales strategies, and enhancing business performance through data-driven predictions.
Overview
BigMart sales prediction aims to forecast future sales trends using historical data, product attributes, and store information for enhanced business performance.