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.
0 + Projects completed
MUKTI, a non-profit socio-economic organization, has been dedicated to improving human development in the Delta region of Sundarbans.
Below are the Data Analytics & Data Science projects on Python, Power BI & ML.
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.
Leveraging VBA and Power BI with advanced DAX functions to drive insightful data analysis for Mukti Fresh.
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.
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.
Used multiple machine learning models to forecast sales (retail store) and performed time series analysis.
Developed a ML model to give various recommendations of financial products & services on target customer groups.
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.
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.
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.
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.
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.
This model can assist healthcare professionals in early diagnosis and decision-making, contributing to improved patient outcomes.
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.
Below are the details to reach out to me!
Kolkata, India