PRAGYAAM DATA TECHNOLOGIES PRIVATE LIMITED

In their own words

We are a team of experienced data scientists and engineers based out of India. Our expertise range from Data Infrastructure Consulting, Advanced Analytics, Model development and Automation. Founded in 2017, Pragyaam Data Technologies has been working in two areas-1. Client Servicing: Our data scientists and engineers work with large companies to help them setup their data infrastructure and solving business critical problems using internal and external data sources through Advanced Analytics and domain expertise.2. Mid-Market business intelligence: We are working with multiple manufacturers and retailers to help them move to a data centric decision making system. This includes helping them create data baselines, to deploying our proprietary collection and BI tool called GRID.Our core team consists of 4 people with varied backgrounds-1. Aayush Agarwal: A data engineer by profession, Aayush leads the engineering, infrastructure and workbench creation for Pragyaam. Aayush works on Big Data technologies like Python, Spark, Hadoop, Pig, Scala and has an extremely good command over AWS stack (S3, Lambda, Rekognition, Kinesis, SageMaker and RedShift)2. Udit Poddar: Our data science lead for client servicing; Udit has worked in multiple organizations and sectors which includes edutech, development, governement, ecommerce, agriculture and US Healthcare. Udit primarily works on R, Python (including Flask, DJango Frameworks) and SQL and has extensive experience in data visualization and automated AI tools like Tableau, DataStudio, QuickSight, Seaborn, H2O, DataRobot, Dataiku etc.3. Shreyansh Jain: Shreyansh leads our mid-market team and has extensive experience in working with Medium and Small scale industries to digitize and help them with business intelligence. Shreyansh is our domain expert in Manufacturing and Retail industries and has digitisation drives in remotest areas of India.4. Shaurya Poddar: Shaurya has worked at Google for over 3 years as a senior account manager. He is the go to person for everything Digital. From Social Media to PPC, Shaurya leads our client servicing on the business side. His expertise in digital marketing is extensive and he has handled over $5million in ad revenues quarterly.Our approaches to business decisions are broadly based on a 4 step framework which has helped us solve critical problems in various industries.1. Hypothesis Generation2. Data Processing and exploration3. Model Development and Evaluation4. Knowledge Mining and Domain Expert InsightsOur past projects includes setting up of Data Infrastructure for e-commerce start-ups, Evaluation and training on infrastructure set-up for Automated Decision Sciences Workbench, Web Analytics for better customer conversion, Market identification for Drugs using claims level datasets, Start-up Diligence framework for Growth Monitoring, Mapping Indian Agriculture for Channelizing $8M for farmer nutrition and lot more.We strive for engineering excellence, automation, scalability and sustainable business partnerships. Industry Pharmaceutical and Life Sciences, Healthcare, Manufacturing, Non-Profit, Professional ServicesSpecialization Or Business Function Marketing and Brand Management (Upsell Analysis, Recommendation Systems & Cross Sell Analysis, Sentiment Analysis), Media and Advertising, Exploration and Production (Predictive Maintenance), Market Research (Customer Segmentation, Market Entry Strategy, Customer Loyalty, Social Media Research), Consumer Experience (Churn Analysis, Customer Behavior Analysis, Customer Lifetime Value, Web Analytics), Business Analysis (Business Process Modeling, Business Process Model & Notation)Technical Function Data Management, Data Infrastructure (Data Center), Business Intelligence (BI Infrastructure, Reporting, Dashboards), Data Visualization (Chart (Quantities, Distributions, Correlations)), Analytics (Predictive Modeling, Data Mining, Forecasting, Machine Learning, Data Preparation, Descriptive Analysis, Spatial Analysis, Natural Language Processing, Deep Learning, Artificial Intelligence)Technology & Tools Business Intelligence and Visualization (QlikView, Tableau, Google Data Studio), Big Data and Cloud (Intel Hadoop, Oracle NoSQL, MySQL, Apache Hadoop, Amazon Web Services, MariaDB), Data Analysis (Microsoft SQL Server, Tableau, Dataiku), Web Analytics (Adobe Analytics, Google Analytics), Machine Learning Frameworks (Microsoft Azure ML Studio, Amazon Machine Learning, TensorFlow, H2O, DeepLearning, Deeplearning4j)

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