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Senior BI Consultant at Exusia | Turning Data into Actionable Insights| FMCG & Retail Analytics| Tableau - TDA‐C01 & Power BI - PL 300 | SQL Server |MS Fabric
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Unicorn Data Analyst
Data Scientist
June 18, 2026 – Present
Power-BI-Custom-MCP-Server-with-Python--Claude-AI-Integration
November 10, 2025 – November 10, 2025
The MCP server connects Claude AI to Power BI Desktop, enabling AI-driven querying and analysis of Power BI models. It lets users explore data, run DAX queries, and retrieve metadata seamlessly within Claude. The integration runs locally on Windows, using Python and .NET for smooth communication.
View ProjectHuman-Resource-WorkForce-Analytics-Modelling
October 12, 2020 – October 14, 2020
The Requirement of a Business Problem is to develop a predictive model to Analyse and to Predict the WorkForce Analytics of Private Organization to improve the company's performance using Classification Analysis with Python.
View ProjectForest-Cover-Classification-Flask--Deployment-Heroku
September 22, 2020 – October 2, 2020
The Requirement of a Business Problem is to develop a predictive model to Analyze and to classify the Coverage type of the forest using Classification Analysis with Python.
View ProjectAutomated-ML-Application-for-EDA-Streamlit-Deployment--Heroku
July 12, 2020 – July 6, 2023
This project is designed as Automated Application for performing Exploratory Data Analysis for given Dataset to generate insights using Python, Streamlit. For executing all the operations customized function has been created and with support of these functions every step will be executed. EDA like basic information about data, Tabulation Analysis, Distribution Analysis, Correlation Analysis and it has been extended to perform Advance Statistical Analysis with some Basic Feature Engineering has been Automated. This Project has been Deployed with Streamlit in Heroku Cloud Platform
View ProjectFIFA-World-Cup-Analysis
July 5, 2020 – August 30, 2020
The Motive of this project is to analyze FIFA World Cup Data,we have the data from 1930 to 2014. The data we have is separated by Matches ,Players and Cup Holders since 1930 to 2014. Lot of Analysis has been done with nice Visualizations to understand and to get insights from data
View ProjectText-Summarizer-Flask-Deployment
July 4, 2020 – September 8, 2021
This project is based on a Basic Text summarizer implemented with the concept of Cosine Similarity. Every basic preprocessing and Feature Engineering steps in Natural Language Processing is implemented and deployed as web API using Flask Deployment
View ProjectIPL-Score-Prediction-with-Flask-Deployment-Heroku
June 26, 2020 – September 8, 2021
This Project is based on Sports Analytics, it is implemented to predict the cricket score of the team and deployed as a web API using Flask. For Better results, I have not included the result as accurate score instead of that my prediction will be in a range of prediction -10and prediction +10
View ProjectCustomer-Life-Time-Value-Prediction-Flask-Deployment--Heroku
June 5, 2020 – June 22, 2022
The motive of the project is to predict the Customer LifeTime Value of a Four Wheeler Insurance Company and it is implemented by satisfying all MLR Assumptions. All the basic Exploratory Data Analysis and Data preprocessing, end to end Data Science life cycle has been implemented in this project.
View ProjectImdb-Sentiment-Analysis-Flask-Deployment--Heroku
May 27, 2020 – June 22, 2022
This project is designed to predict IMDB Movie review sentiment analysis and this analysis is used to give feedback about the quality of the movie. This project is implemented using Natural Language processing using bag of words model and other techniques like vectorization to analyze the reviews.
View ProjectAmazon-Product-Reviews-LSTM--NLP-with-Deployment
May 24, 2020 – March 20, 2021
This project is designed to predict Amazon Product review sentiment analysis and this analysis is used to give feedback about the quality of the Products. This project is implemented using Natural Language processing using a bag of words model and other techniques like vectorization to analyze the product reviews.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in applying data science to various domains, including sports analytics, customer behavior, and sentiment analysis. This diversity suggests adaptability and a willingness to explore different problem spaces. The focus on personal projects indicates self-motivation and initiative, which are positive cultural fit indicators. However, the lack of team-based projects or contributions to open-source initiatives limits the assessment of collaborative cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying new technologies. The focus on end-to-end project implementation, from EDA to deployment, suggests good problem-solving and operational skills. However, without specific assessment data, a detailed analysis of soft skills like teamwork or stress handling is not possible.