TechGuard IT Solutions

Data Analytics & AI

Transform raw data into actionable insights and automate decision-making.

Data Collection: Gathering data from various sources like databases, APIs, web scraping, or IoT devices, Data can be structured (databases) or unstructured (text, images, videos).
Data Cleaning & Preprocessing: Handling missing values, removing duplicates, and correcting errors and transforming raw data into a usable format.
Data Analysis & Exploration (EDA - Exploratory Data Analysis): Using statistical and visualization techniques to understand data patterns using Python library as tools such as Pandas, NumPy, Matplotlib, Seaborn etc...
Machine Learning & AI: Applying supervised, unsupervised, and reinforcement learning algorithms to make predictions or find patterns and the most common ML techniques include Regression, Classification, Clustering, Neural Networks, NLP (Natural Language Processing).
Data Visualization: Creating visual representations of data for better understanding and tools commonly used include Matplotlib, Seaborn, Tableau, Power BI.
Model Deployment & Big Data Handling: Deploying trained models for real-world applications using cloud services (AWS, Google Cloud, Azure), Handling large-scale data using Hadoop, Spark, SQL, NoSQL databases.
Aerospace and Defense: Scientific computing is used to simulate complex systems, such as missile trajectories, fluid dynamics, and materials science.