Product Development and Consulting in Digital Security, Data Science and Enterprise Architecture:

Architecture, Digital Security, Machine Learning, Big Data

About FanduTech

FanduTech builds Machine Learning-based models with incredible accuracy and ingenuity.

FanduTech machine learning technology includes gen AI, nlp, image recognition, deep neural networks, natural voice processing (voice recognition), geospatial technologies, among others.

FanduTech area of speciality include:

  • Security
  • Data Science
  • Machine Learning
  • Analytics
  • Enterprise Architecture

Our Methods and Technologies

Turning data into valuable insights and business results should be a vital component of every well-run enterprise. To get to the precious insights that huge data hides and churn out business value from it, we apply both proven statistical methods and elaborate machine learning algorithms, including such intricate techniques as deep neural networks.

Methods
  • Descriptive statistics
  • ARIMA
  • Bayesian inference, etc.
  • Supervised learning algorithms, such as
    • Gradient Boosting algorithms (XGBoost, GBM, LightGBM)
    • random forest
    • decision trees
    • linear regression
    • logistic regression
    • SVM
    • KNN
  • Unsupervised learning algorithms,
    • clustering
    • Apriori
    • K-Means
    • PCA
    • hierarchical clustering
  • Convolutional and recurrent neural networks
    • CNN
    • RNN
    • LSTM
    • GRU
    • Attention
    • Conv3D
    • TimeDistributed Layer
  • Generative AI
    • Transformers
    • Generative Adversial Network (GAN)
    • AutoEncoders and VAE

Technologies
Python R Java
  • Python
  • R
  • Java
TensorFlow Spark Kafka PyTorch
  • TensorFlow
  • Apache Spark
  • Apache Kafka
  • PyTorch
Keras Scikit-learn
  • Keras
  • Scikit-learn
Keras MongoDB TimescaleDB Redshift Postgresql Mysql
  • Cassandra
  • MongoDB
  • TimescaleDB
  • Redshift
  • Postgres
  • Mysql
Docker Kubernetes
  • Docker
  • Kubernetes
  • Jenkins
  • Git

About The Team

    Gopal Sharma Gopal Sharma  is a highly accomplished senior technology leader and software architect with over 27 years of experience driving innovation and delivering impactful solutions across enterprise software, digital technologies, and data engineering. Demonstrated expertise in Data and Analytics strategies and technologies, Information Security, Deep Learning, Predictive Analytics, Cloud Computing, and Enterprise Application Integration. Proven ability to build and lead high-performing R&D teams, collaborate effectively with cross-functional stakeholders, and consistently exceed business objectives. Adept at optimizing efficiency, performance, and software quality throughout the software development lifecycle. Respected author, technical reviewer, and freelance writer contributing to publications focused on Big Data, Data Science, and Enterprise technologies.

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