Built effective finance, sales, marketing and supply chain Power BI dashboards as part of atliq hardware business growth expansion.

Designed HR Analytics Power BI dashboard to track employees data like work hours , attendance and leaves etc and to streamline the HR processes and increase efficiency.

Built an insightful Hospitality Analytics Power BI dashboard visualizing some of the key metrics like Occupancy % ,RevPAR and ADR etc, aiding the Hospitality businesses to take informed decisions.

Designed a PowerBI Dashboard to understand  the  goods sales trend of a harware company. This report will be very useful in looking at the sales and revenue trend of the company, thereby allowing the user to take efffective decisions.

Created a Customer Churn prediction model by performing EDA, feature engineering, data preprocessing, model building and tuning techniques using different machine learning algorithms.

Built a robust machine learning model which can classify the price range  and  predict the average price of a restaurant using zomato orders data.

Extracted the used cars data from multiple websites like olx, cardekho etc., And performed data cleaning, feature engineering and  built a machine learning model which can predict the price of a used car based on the independent variables  like car_brand, manufacturing_year, fuel_type and accidental history etc. 

Developed a powerful machine learning model which can classify, if an insurance claim is fraudulent or not. This helps the insurance companies in identifying and preventing fraudulent claims, which saves them money and improves the overall integrity of their operations.  

Created a sturdy machine learning which can be used to classify new, unseen emails in real-time, allowing for efficient filtering of spam emails and improving the overall user experience. Moreover, This  project can be extended to improve the accuracy of the classifier over time by continually retraining the model on new data.