Sales Forecasting

• Collecting and preprocessing historical sales data. • Analyze and explore the data to identify trends, patterns, and seasonality. • Selecting the appropriate machine learning algorithms for sales forecasting • Applying the trained model to forecast future sales

Salesman Performance Dashboard

• Gathered and integrated sales data from multiple sources into a unified dataset. • Designed and developed interactive dashboards in Power BI to track and visualize salesman performance metrics. • Created key performance indicators (KPIs) such as total sales revenue, number of deals closed etc

Object Detection

• Collected and preprocessed a labeled dataset of images for object detection. • Implemented and trained a deep learning model using a suitable algorithm and framework. • Evaluated the model's performance metrics like mAP, precision, recall, and F1 score • Applied the trained model to detect objects

Sentiment Analysis

• Utilized NLP (NLTK) to perform sentiment analysis on 14,000 tweeter reviews of two major smartphones (Apple, Samsung) • Performed data cleaning and text analysis to successfully identified the major complaints for each. • Applied Regression and Machine learning to produce a final model.

Sales per Month

Created an Interactive dashboard in Power BI to showcase KPI’s like sales per month.

TurnOver Sales Dashboard

Breakdown of turnover by different dimensions such as regions, sales channels, or product lines to identify top-performing segments and areas of improvement.

Prediction of Turnover Sales

Develop a Power BI dashboard that incorporates predictive analytics to forecast future turnover based on historical data and relevant variables. Visualize the predicted turnover using line charts or area charts, alongside actual turnover data, to provide insights into projected revenue trends.

Mapping Project

- Utilizing Power BI's mapping capabilities to create interactive and visually appealing geographic visualizations, such as choropleth maps, point maps, heat maps, to display spatial data and patterns. - Performing geocoding to convert addresses or location-based data into latitude and longitude.

Top Selling Products

Created a dashboard to identify the top-selling products based on sales data, showcasing key metrics such as revenue, quantity sold, and product category, enabling stakeholders to quickly identify and focus on the most profitable products.

COVID 19 Analysis

Analyzing a dataset of covid cases worldwide in real-time for various regions using Tableau.