The Next Giant Leap for
Industry is in your Data
Data Science that Actually Makes a Difference
QuantMD s a boutique data science consulting practice dedicated to practical implementation of EBIT-impacting, production grade data products embodying applications of AI and machine learning, across industry.
Effective data science practice lies at the confluence of competence with regard to big-data and the elastic computing cloud, mathematical prowess / statistical modeling and subject matter expertise. Chief Data Scientist, Dr. Menon, has impacted over $20M in EBIT savings or affected spend, across healthcare, manufacturing, consumer goods and communication through innovative, production-grade, data science solutions for statistical process control, industrial process automation and algorithmic approaches to drive customer interaction.
Our history of successful execution on EBIT-affecting data science projects range from financial forecasting, portfolio analytics, algorithmic trading, procurement spend analytics to predictive maintenance and machine vision based statistical process control. We have clinical trials research experience and have applied our expertise to drug discovery, biostatistical analysis, patient-specific medical image analytics for diagnostics, cardiovascular surgical planning as well as developing and validating technology for image guided surgery.
We are:
The next giant leap to your bottom line could come from data-driven analytics.
Effective data science practice lies at the confluence of competence with regard to big-data and the elastic computing cloud, mathematical prowess / statistical modeling and subject matter expertise. Chief Data Scientist, Dr. Menon, has impacted over $20M in EBIT savings or affected spend, across healthcare, manufacturing, consumer goods and communication through innovative, production-grade, data science solutions for statistical process control, industrial process automation and algorithmic approaches to drive customer interaction.
Our history of successful execution on EBIT-affecting data science projects range from financial forecasting, portfolio analytics, algorithmic trading, procurement spend analytics to predictive maintenance and machine vision based statistical process control. We have clinical trials research experience and have applied our expertise to drug discovery, biostatistical analysis, patient-specific medical image analytics for diagnostics, cardiovascular surgical planning as well as developing and validating technology for image guided surgery.
We are:
- Knowledgeable of Hadoop applications and scalable architectures suitable for querying and building models from datasets with 10's of millions of records and 100's of columns
- Technically astute in terms of programming in R, Python, Big Data Analytics, Hadoop, Hive, PIG, MapReduce, Sqoop , flume, Scala, Spark, etc.
- Experienced in data ingestion, transformation and cataloging, applying HQL/SQL on unstructured/structured datasets
- Unstructured text-analytics using natural language processing, generating APIs for data models and consuming public APIs
- Experienced in developing Data Models suitable for business problems across industry, algorithms , general root-cause analysis / problem solving and new product development
- Experienced with Cloud-based Big Data Analytics frameworks (including those by Oracle, AWS, Microsoft)
- Efficient in working with Hortonworks HDInsight clusters on the Azure (Microsoft) cloud, AWS EC2, Oracle Big Data Cloud, IBM Bluemix, Watson Analytics etc. including IoT and streaming-data PaaS offerings
The next giant leap to your bottom line could come from data-driven analytics.