Divyam Kalwar

Experienced Data Analyst with expertise in data analysis and machine learning. Proficient in Python, SQL, and data visualization. Strong analytical mindset and background in IT. Seeking a dynamic role to contribute to impactful projects and continue professional growth.

• PCG Data Science Course - Internshala
• Excel Certification - Internshala
• SQL Certification - Internshala
• Tableau Certification - Internshala
• Python Certification - Internshala

Hand Gesture Recognition using CNN

• Developed a convolutional neural network (CNN) model to recognize hand gestures with high accuracy.
• Improved the user interface by implementing real-time gesture recognition capabilities.

Image Classification using SVM

• Utilized Support Vector Machine (SVM) algorithms to classify images into predefined categories.
• Improved model accuracy by tuning hyperparameters and employing data augmentation techniques.

Customer Segmentation using K-means

• Analyzed customer data to identify distinct segments using K-means clustering.
• Provided actionable insights for targeted marketing strategies, increasing campaign effectiveness.

House Price Prediction

• Built a predictive model using linear regression to estimate house prices based on various features.
• Enhanced model performance through feature engineering and cross-validation techniques.

ML Model using Bagging to Predict Rainfall

• Implemented an ensemble learning technique (bagging) to predict rainfall with higher accuracy.
• Analyzed meteorological data to improve weather forecasting models.

Interactive and Informative Dashboard using Tableau

• Designed and created a comprehensive dashboard in Tableau to visualize complex datasets.
• Enabled data-driven decision-making by presenting key insights through interactive visualizations.

Analyzed Fitbit Fitness Tracker Data to Deliver Marketing and Business Solutions

• Examined Fitbit data to uncover patterns and trends in user behavior.
• Suggested marketing strategies and business solutions based on data-driven insights.

Analyzed Past IPL Data to Create IPL Team

• Analyzed historical IPL data to identify top-performing players and optimal team compositions.
• Provided recommendations for team selection based on statistical analysis and performance metrics.

Facial Expression Recognition and Detection

• Built a system that can accurately recognize facial expressions of people in real-time using computer vision and machine learning techniques.

Smart gloves for Deaf and Dumb

• Developed a hardware using Arduino, sensors and programming to create a glove that can help people who are deaf and dumb to communicate more effectively with others.