Today many enterprises rely upon Enterprise Level Intelligence to run their businesses successfully. Artificial Intelligence and Machine Learning are playing a critical role in building this intelligence by extracting hidden patterns from data, making informed decisions, reducing human interventions, and improving operational efficiencies.

Evoke’s Artificial Intelligence (AI) and Machine Learning (ML) services enable organizations to build Enterprise Intelligence Hub and related applications. We take pride in delivering successful experiences in a broad range of industries such as manufacturing, FMCG, telecommunications, banking, hospitality, healthcare, and others.

Our full stack of certified Data Science experts has extensive hands-on experience with various Data Science tools and technologies such as Python, Apache Spark, Google TensorFlow™, Tableau, Data Visualization, and Machine Learning solutions.

Data Science Expertise

Data Engineering

  • Data Modeling & Consultation
  • Feature Selection
  • Feature Transformation
  • Feature Extraction
  • Model Building
  • Model Evaluation & Optimization

Machine Learning

  • Association Analysis
  • Anomaly Detection
  • Re-engineer, Migrate to Cloud
  • Regression Analysis
  • Classification Analysis
  • Forecasting
  • Text Mining

Artificial Intelligence

  • NLP/NLU
    • Chatbots
    • Text Mining
  • Speech
  • Object Detection
  • Video Analytics
  • Alexa Business Solutions
Data Science Techniques

Data Processing

  • Data Collection
  • Data Cleansing
  • Data Profiling
  • Normalization
  • Transformation
  • Data Mining
  • Load Data to Data Warehouse

Feature Engineering

  • Principal Component Analysis (PCA)
  • Singular Value Decomposition (SVD)
  • Locality Sensitive Hashing (LSH)
  • Text Transformation (word2vect, TF-IDF)
  • Vectorization, Indexer

Optimization & Evaluation

  • Cross Validation
  • Gradient Descent, SGD
  • Hyper parameter Tuning
  • Ensemble & Boosting
  • RSS, RSME, MSE
  • Log-loss, F-measure, Precision-Recall

Core Algorithms

  • Regression Algorithms
  • Support Vector Machine (SVM)
  • KD-Tree, Decision tree, Random Forest
  • K Nearest Neighbors (KNN)
  • K-means, Latent Dirichlet Allocation
Technology Specialization

Data Source

Frameworks

Languages

Tools

Cloud Platforms

Database

Success Stories

Case Studies

Data Science
Image-based Parts Search Optimization using Classification Model

Built ML engine to optimize an image-based search application (mobile app) by predicting top 5 closest matches. Increased the accuracy from 30% to 85% in predicting top 5.

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Data Science
Data Lake & Brand Protection Predictive Model

Data Lake with 100TB of Storage with 7TB of data being ingested and processed weekly with a 2-class boosted Decision Tree with 87.3% Accuracy.

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Data Science
Building a CPG Forecasting Model Using Timeseries

Replaced an existing BI heuristic forecasting model by more advanced statistical modelling technique.

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Philosophy

Business Knowledge

Understanding customer’s business than just the technology expertise.

Experienced Team

Experienced & tailor-made resources for quality delivery.

On-site/Offshore Overlap

Adequate overlap for successful on-site/offshore engagements.

Dedicated Members

Team of experts dedicated to project(s) for a reasonable duration.

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