Summary
Overview
Work History
Education
Skills
Accomplishments
Certification
Tools Used
Timeline
Generic

Rahul Kumar

Noida

Summary

Innovative Data Analyst with over 2+ years of experience in analyzing complex datasets, developing machine learning models, and driving data informed decision-making. Proficient in SQL, Python, and worked on tools such as Salesforce. Demonstrated ability to work collaboratively in agile environments, Strong analytical skills combined with a solid foundation in software engineering principles, committed to leveraging data to solve real-world problems and improve business outcomes.

Overview

2
2
years of professional experience
1
1
Certification

Work History

Data Analytics Engineer

Havells India Ltd
06.2022 - Current
  • Analyzed complex datasets to extract actionable insights, leading to a 20% improvement in decision-making accuracy
  • Developed and maintained web scrapers to collect and analyze product data, which contributed to increase in e-commerce sales and a 20% improvement in product positioning
  • Conducted mid-month forecasting using time series analysis to predict sales trends, resulting in more accurate inventory planning and 15% improvement in accuracy
  • Applied machine learning algorithms such as regression and clustering to identify patterns and predict customer behavior, enhancing targeted marketing efforts by 20%
  • Collaborated with cross-functional teams to deliver customized data solutions, supporting business initiatives and achieving a 30% increase in project efficiency
  • Worked on Salesforce development, including implementing custom solutions with Apex and Triggers

Education

Bachelor of Engineering - Computer Science

Chandigarh University
Gharuan, India
03.2022

Skills

  • Predictive modeling
  • Statistical Analysis
  • Time Series Analysis
  • Sales Forecasting
  • Machine learning
  • Exploratory Data Analysis
  • Data Analytics
  • Business Analysis
  • Python
  • MySQL
  • Salesforce
  • Data Cleaning
  • Analytical Skills
  • Data Manipulation

Accomplishments

Mid-Month Forecasting

  • Developed a Python-based predictive model leveraging time series analysis to forecast mid-month sales.
  • Utilized advanced statistical techniques to analyze historical sales data, identifying trends and seasonality.
  • Integrated the forecasting model into business operations, resulting in a 25% increase in forecasting accuracy and improving operational efficiency from 60% to 75%.

Available to Promise (ATP-System)

  • Architected an ATP solution for inventory management, employing Python and SQL to enhance real-time inventory visibility.
  • Designed algorithms to calculate available stock, lead times, and demand forecasts, optimizing order fulfillment processes.
  • Delivered comprehensive dashboards and reporting tools to support data-driven decision-making in supply chain operations.

Electrician Loyalty Program

  • Developed an Analytical Program Model using Python to predict churn within an electrician loyalty program.
  • Performed feature engineering and exploratory data analysis to identify critical churn indicators and improve model accuracy.
  • Collaborated with cross-functional teams to implement targeted retention strategies based on predictive analytics, enhancing customer loyalty and reducing attrition rates.

Certification

Python for Time Series and Data Analysis, Customer Analytics in Python, Python for Excel, Statistics for Data Science and Business Analysis, Business Communication

Tools Used

  • Visual Code | Jupyter Notebook | Salesforce CRM | MS Excel

Timeline

Data Analytics Engineer

Havells India Ltd
06.2022 - Current

Bachelor of Engineering - Computer Science

Chandigarh University

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Rahul Kumar