Hello!

I'm Sayan De



A Data Science Enthusiast

My works

Name: Sayan De

Job Role: Associate Consultant

Experience: 3 Years 2 Months

Address: Kolkata, India

Skills

SAP ABAP 95%
SQL 85%
PYTHON 90%
Data Visualization 90%
Excel 90%

About

About Me

A competent SAP Technical Consultant with 3 years of experience in seamlessly integrating SAP solutions into business practices. As a budding data science enthusiast, I'm eager to explore the depths of data analytics. Delving into Python, Excel, and MySQL, I'm learning the ropes of data cleaning and visualization, eager to transform raw data into actionable insights. I'm excited to embark on this journey of learning and discovery in the field of data analytics.

  • Profile: ABAP Developer & Data Analysis
  • Domain: SAP - Sales and Distribution
  • Education: Bachelor of Technology
  • Language: English, Hindi
  • BI Tools: Tableau & Microsoft Power BI
  • Other Skills: Excel, MySQL, PostgreSQL

0 +   Projects completed

LinkedIn

Resume

Resume

Managed multiple deliverables concurrently and facilated use of SAP for enterprise resource planning.Worked primarily as an ABAP(Advanced Business Application Programming) developer involving mostly RICEF objects and supported in various enhancements and monitoring activities.

Experience


2020-2021

Senior Analyst

Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.

  • Added reprocessing routine into an ABAP report to reprocess the Shipment status updating procedure.
  • Implemented user defined function module to transfer files from SAP to Windows server.
  • Developed an ABAP report to monitor changes done on any Shipment or Purchase Order filtered by Date/Time.

2022-2023

Associate Consultant

Project Highlights
  • Added enhancement in Shipments weight Information file(adding the shipment number in the Application layer file generated from SAP)
  • Supported B2B team by replacing Email functionality by a User fefined functionmodule to send XML files from SAP to Client server
  • Implemented the enhancement of Web-Dynpro application that re-directs to a new UI5 application.



Education


2016-2020

Bachelor of Technology

Visvesvaraya Technological University

Grade: 8.99 CGPA

2015-2016

Higher Secondary School

Barrackpore Govt. High School

Grade: 89.2%

Download CV

Projects

Data Analysis Projects

Below are the sample Projects on Data Analysis, KPI Dashboard using Excel, SQL, Tableau and PowerBI

HR Analytics Dashboard using Tableau

This dashboard designed to provide insights into various aspects of employee attrition and demographic distribution within an organization. It also offers a visual representation of key HR metrics through interactive charts, graphs and tables.

Sales Dashbaord using PowerBI

Dive into the world of sales analytics with our PowerBI Sales Dashboard.Explore dynamic visualizations and insightful analytics tailored for sales data, empowering businesses to make informed decisions and drive growth.

Hotel Booking Dashboard using Excel

Embark on a journey through hotel bookings and cancellations with this data analytics project. Using Excel's pivot tables and charts, we unravel trends, booking patterns,providing actionable insights for optimizing hotel operations.


Music Store Data Analysis using MySQL

Delve into the world of music retail analytics through MySQL, exploring diverse metrics such as genre, artist, track and preferences. Uncover trends, patterns to enhance marketing strategies.

Exploratory Data Analysis on Weather Data using Python

Here we explored and analyze weather patterns using Python Pandas. This project is designed to provide a hands-on experience in working with real-world weather datasets with data manipulation and analysis.

Projects

Data Science Projects

These projects showcase the application of machine learning techniques, including supervised learning (predictive analytics), unsupervised learning (clustering, association learning), and deep learning, to solve real-world business problems across various industries such as manufacturing, pharmaceuticals, and finance. The projects utilize classification and regression algorithms such as Logistic Regression, Random Forest, Support Vector Machine, K-Means Clustering, and Neural Networks.

Housing Price Prediction using Linear Regression

Utilizing ML techniques, the project builds a predictive model for housing prices, leveraging diverse features like location, size, amenities, and neighborhood details. Using a rich dataset, it aims to deliver a precise and insightful tool for real estate professionals.

Employee Churn Prediction using Random Forest

Using ColumnTransformer, pipelines, standardization, and encoding, we preprocess data and apply models like Logistic Regression, Decision Trees, Random Forest, and XGBoost to predict employee churn based on factors such as job satisfaction, promotion, and salary. This enables companies to reduce turnover and improve organizational stability.

Customer Segmentation using K-Means Clustering

About Created a customer segmentation project using K-Means clustering to categorize customers into distinct groups based on purchasing behavior and demographics. Implemented data preprocessing, clustering, and visualization to uncover patterns and tailor marketing strategies for targeted customer engagement.


Student Placement Predictor WebML-App deployed in Render

This project uses machine learning algorithms (Random Forest Classifier and Decision Tree) to predict student placement likelihood based on age, gender, CGPA, internships, and backlogs. It provides actionable employability insights, aiding career planning. A user-friendly Flask web app will be deployed on Render for broad accessibility.

Cat vs Dog Image Classification using Neural Network

Utilizing MobileNet transfer learning in TensorFlow, this project classifies cat and dog images. With Kaggle data, it fine-tunes pre-existing weights, integrates OpenCV for preprocessing, and PIL for augmentation. The aim is to optimize model performance in distinguishing between the two, advancing computer vision for pet classification

More projects and contributions on Github and Kaggle

I love to solve business problems & uncover hidden data stories


GitHub

Kaggle

Contact

Contact Me

Below are the details to reach out to me!

Address

Kolkata, India

Contact Number

+ 91 7890159681

Email Address

sayande01@gmail.com

Download Resume

Click Here




  • Find me on