Name: Jaydeb Sarader

Address: Kolkata, India

Skills

Excel 70%
PYTHON 80%
Data Visualization 80%
Statistical Analysis 70%
Machine Learning 70%

About

About Me

I am a detail-oriented Business Intelligence Analyst with expertise in data visualization, data modeling, and advanced analytics. Proficient in Tableau and Power BI, I create impactful dashboards that drive business decisions. My skills in SQL enable efficient data extraction, while my advanced Excel capabilities enhance comprehensive analysis. With knowledge in machine learning, big data (including Hadoop), and VBA for Excel automation, I collaborate effectively with cross-functional teams to deliver actionable insights and maintain data integrity.

  • Profile: Data Science & Analytics
  • Education: Bachelor of Engineering & pursuing PGDM
  • Data Analysis: Advanced Excel (Pivot Tables, VLOOKUP, Macros ,VBA) & SQL (Data extraction and manipulation)
  • BI Tools: Microsoft Power BI & Tableau
  • Data Modeling: Data Warehousing & ETL Processes
  • Machine Learning: Supervised and Unsupervised Learning & Model Evaluation and Deployment
  • Big Data Technologies: Hadoop & Spark
  • Language: English, Hindi & Bengali
  • Interest: Photography, Playing Cricket & Football

0 +   Projects completed

LinkedIn

Resume

Resume


Achievements

  • Achieved 1st position in Acting at Doon Business School.
  • Was mess committee member in hostel, Arrange and led several programs such as Sports & Freshers Welcome at BBIT hostel.
  • Was a part of college cultural fest committee for all the four years, conducted several events at Budge Budge institute of Technology
2018-2024

Volunteer

Mukti

MUKTI, a non-profit socio-economic organization, has been dedicated to improving human development in the Delta region of Sundarbans.

  • Contributed to improving human development in the Sundarbans Delta region through active participation in MUKTI's initiatives, such as [specific activities or projects you were involved in
  • Engaged with local communities in the Sundarbans Delta, demonstrating a commitment to social responsibility and fostering positive change in marginalized areas.



Education


2016-2020

Computer Science Engineering

Budge Budge Institute of Technology
2023-Present

Post Graduate Diploma in Management

Doon Business School

Projects

Projects

Below are the Data Analytics & Data Science projects on Python, Power BI & ML.


Car Sales Dashboard using Power Bi

Designed an interactive Car Sales Dashboard in Power BI, visualizing key metrics such as total sales, revenue by region, sales trends, top-selling models, and dealer performance for actionable insights.

Mukti Fresh Data analysis

Leveraging VBA and Power BI with advanced DAX functions to drive insightful data analysis for Mukti Fresh.

Hotstar analysis using Power Bi

Created an insightful Power BI dashboard for Hotstar analysis, showcasing user engagement, subscription trends, viewership patterns, top-performing content, and revenue breakdown for strategic decision-making.

Netflix analysis using Power Bi

Developed an interactive Power BI dashboard for Netflix analysis, highlighting user demographics, watch time trends, top genres, subscription growth, and content performance to uncover key business insights.

Sales Forecast- Time Series Forecasting

Used multiple machine learning models to forecast sales (retail store) and performed time series analysis.

Customer Segmentation using clustering model

Developed a ML model to give various recommendations of financial products & services on target customer groups.

House Price Prediction Using Linear Regression

The "House Price Prediction" project utilizes linear regression to estimate the prices of houses based on factors like location, area, number of rooms, and other features.

Real-Time-Face-Detection

The project demonstrates the integration of computer vision and AI to detect facial features efficiently, making it applicable in security systems, attendance tracking, and human-computer interaction.

Credit-Card-Fraud-Detection

The project highlights the importance of feature engineering, handling imbalanced data, and evaluation metrics like precision, recall, and F1-score. Its application is critical for enhancing financial security and reducing risks in the banking and payment sectors.

Chatbot-Application-using-NLTK

It employs methods like tokenization, stemming, and lemmatization to preprocess text, alongside a trained machine learning model for intent recognition. The chatbot can handle FAQs, small talk, and contextual conversations, making it ideal for customer support, education, or personal assistant applications.

Wine quality detection Model

The project highlights feature selection, handling imbalanced data, and evaluation using metrics like confusion matrix and F1-score. This model is applicable in the wine industry to streamline quality control processes and enhance customer satisfaction.

Heart Disease Prediction Model

This model can assist healthcare professionals in early diagnosis and decision-making, contributing to improved patient outcomes.

speech_to_text_recognition_application

Speech-to-Text Recognition App: Developed a real-time speech-to-text application using Python and Streamlit. The app leverages SpeechRecognition and PyAudio to convert spoken words into text, offering seamless transcription. Enhanced user experience by integrating an intuitive interface with real-time feedback and high accuracy.

0 Achievements
10 Projects
10 Github

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!