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Projects [email protected] SicureMi
Have designed and delivered a Health-care Analytic’s solution for SicureMi using Medical IOT data as the Chief Data Scientist. The project aims to develop an affordable and non invasive Intelligent Self care product for users providing personalized care using predictive analytics from historic / real-time data using IOT/Mobile based app. By integrating the Internet of Things(IoT) with healthcare the product aims to keep patients safe and healthy. Research shows every 1 out of 3 Indians are victims of lifestyle diseases like Diabetes, Hypertension and other cardiovascular diseases. Leveraging the power of machine learning combined with IoT devices, our engine can analyse and predict the chronic ailments, helping people gain control over their lives. The product collects data from your wearables and using its state of the art predictive algorithms it analyses and predicts health based anomalies. This intelligent platform searches for patterns in the data collected and raises alarms and notifications thus keeping the patients healthy. The data is generated at real time using wearable devices and relayed to the cloud premise using Bluetooth synced to the mobile app. The model uses data extracted from the cloud and pipelines the data using transformation funnels to build and update the solution which scores the risk of lifestyle diseases of the patients. The algorithm also accommodates personalized alerts and predictive warnings for the patients. It gives out ‘Compliance Scores’ for the users based on their data, comparing it to an ideal figure across various parameters such as sleep, activity and nutritional compliances. Our robust Machine Learning models generate ‘Risk Scores’ for early detection of conditions that the user might be at a risk for, based on analysis of routinely collected data. The protype was built for patients of geriatric ward at AIIMS and now is being generalised for other demographics as well. Some of the important variables used are Excercise intensity, activity distance,duration, calories burned, REM Sleep, times woken, resting heart rate and so on. Data Partners for the project are Fitbit, Garmin and Inbody wearable device manufacturers. Clinical In home Medical device data including biometric data from blood pressure monitors, heart rate monitors, sleep trackers and thermometers provide data points like weight, fat percent, temperature,spf and so on. These are also some important parameters of the model. A&D Medical is the data source partner for same. Periodic routine data from partners including Thyrocare and Healthians has also being inbuilt as parameters. These vital data points mostly consist of WBC count, testosterone levels, Cholestrol levels and vitamin composition. The Proof of concept was built with data collaboration by AIIMS and Apollo Hospitals. We guide the team of core members now as an Advisory. Sicuremi is an IIT Delhi incubated Heathcare Analytics firm.
Project [email protected] John Deere
Executed a cloud based solution using R and Python for Natural Language Processing to convert handwritten, typed and photographed document into digital format for the market research team. The model extracted data from pdf, word, excel, jpeg and plain text format and rendered into predesigned format using NLP and programming for embedding in GIS maps used for Business Intelligence reports.
Project [email protected] Mahindra Farms and Tractor
Executed a Proof of Concept for Condition Based Monitoring of Manufacturing assets using sensor data collected at plants. The project is based on Industrial IOT wherein data relayed by sensors numbered around 700 are relayed to proprietary cloud system and then extracted for feeders into the Machine learning models used to predict line stoppages.
Project [email protected] Confidential
Executed a Software as a Service , Big Data and Analytics Cloud Service including services such as RStudio, Python, Spark, Pig, Scala, Flume, Hive etc. The Subscription based service is a distributed ecosystem which is scaleable and robust for user additions.
Project [email protected] Industries
Using Transaction Data Mining and Apriori Algorithm created a system based on green plum database and R ecosystem to utilize unsupervised machine learning for recommendation engine. This was a massive ecosystem consuming 2.4 terabytes of daily data from 550 stores across the retail formats to power the machine learning models capability for predicting the most likely bought product. The system was initially deployed as a semi supervised model run at a segment length of 15 days and updated thereon. Later it was completely automated with data pipelines and mechanisms to auto update the Marketing engine.
Project [email protected] Auto
Using Sales data a Forecasting Model was implemented which was used in conjunction with Expert System to finalise the Sales Planning and distribution.
Other Projects [email protected] include
Customer Life Changing Event Detection Algorithm ( Pattern Matching Algorithm )
Pricing Analytics using Time Series Models
Collaborative Filtering for Product Recommendation Using Unsupervised Learning Model
Customer Life Time Value Prediction
Product Sales Forecasting
Some of the Projects cannot be described or Listed because of NDA’s and Data Privacy
Mohan has been able to compartmentalize this learning and share it with organizations of different domains and strength.
Mahindra and Mahindra Farm Division - Advisory for Analytics COE
Integrum Litera – Private Investor
SICUREMI - An Advisory and Data Analytics Solution provider for IIT Delhi incubated Heathcare Analytics Company
Baine Management Consultancy - Advisory Board Member for Baine a Financial Forensic Analytics and as part of Financial Analytics Product development leverages on Financial Products for Risk, Fraud and Analytics
S.P Jain School of Management - Visiting Faculty for Data Science
Dun & Bradstreet - Panelist for Analytics, Machine Learning and Big Data
IMS Pro School - Visiting Faculty for Business Analytics Program offered by IMS Proschool in Association with NSE
Imarticus - Analytics Advisory for Data Science Training
Princeton Academy, Mumbai - Speaker for Executive Workshop & Seminar on Analytics/Data Science/Big Data/Machine Learning
GridEdge - Principal Strategic Advisor
Quotentica - Analytics Advisory for Quotientica - An AI Product for Financial Fraud Analytics
Datasofttools IT Solutions - Strategic Advisory Role
Carpe Diem Boot Camp - Corporate Trainer for Analytics & Big Data
Intangio Associates - Corporate Trainer for Analytics, Machine Learning & Big Data
Guru Nanak Institute of Management Studies - Visiting Faculty for Cloud Computing / BI & Data miniing
Indira School of Business Studies - Visiting Faculty for Analytics
EduPristine - Visiting Faculty for Analytics
Reliance Industries - Manager - Specialist ( SME for Analytics )
Cummins - Sr. Manager - Market Strategy
Bajaj Auto - Asst. Manager - Sales Planning
Magus Consulting Pvt Ltd - Market Analyst
Kalpataru Constructions - Research Executive
In his tenure as an SME in Analytics he imparted Corporate Trainings in Machine Learning, Analytics and Big Data. He worked alongside Network Partners in delivering Trainings on Analytics/Big Data/Machine Learning/Deep Learning :
@ E & Y
@ Mahindra Bristlecone
@ Yes Bank
@ S P Jain School of Global Management
@ KIT Kanpur
@ Global Analytics
@ S G Analytics
@ TVS Credit Services
@ Ecom Express
Mohan write's a column blog on Imurgence Blog.