Mohammed Sunasra Email & Phone Number

Mumbai, Mh, In

Mumbai, Maharashtra, India

As a founding member of the team at Pixeldust, I am responsible for the end-to-end delivery of products/systems from ideation, planning, architecture, development, and delivery.At Pixeldust, I work on challenging and diverse problems across various domains like Finance, FMCG, Healthcare, Pharma, and others.The types of products we are working on or have delivered in the past include MLOps product for Data scientists, real-time patient monitoring for Hospitals, Proxy voting management to… Show more As a founding member of the team at Pixeldust, I am responsible for the end-to-end delivery of products/systems from ideation, planning, architecture, development, and delivery.At Pixeldust, I work on challenging and diverse problems across various domains like Finance, FMCG, Healthcare, Pharma, and others.The types of products we are working on or have delivered in the past include MLOps product for Data scientists, real-time patient monitoring for Hospitals, Proxy voting management to Mutual Funds, and On-Ground trial monitoring for Brands along with many others in our vast portfolio of solutions delivered to our clients.We manage to deliver the above solutions using a wide variety of tools and technologies including Python, Django, DRF, PyTorch, SQL, and Docker and deployed them onto different cloud environments like AWS, Azure, and Google Cloud.About Pixeldust:We are a product design-oriented tech company, offering end-to-end solutions for businesses in product development, user experience design, and data science by leveraging the best of technology and designhttps://pixeldust.in Show less

Mumbai Area, India

Developed a facial analytics system for predicting the customer’s Age,Gender and BMI from a selfie for dynamically calculating the risk,improving the overall customer engagement and on-boardingexperience for Prudential Thailand. The model achieved the state of the artresults in estimating the Age with an MAE of 4.1 and Gender with anaccuracy of 99.9% on the South East Asian Population. The engagingthe system has increased the customer acquisition of Prudential… Show more Developed a facial analytics system for predicting the customer’s Age,Gender and BMI from a selfie for dynamically calculating the risk,improving the overall customer engagement and on-boardingexperience for Prudential Thailand. The model achieved the state of the artresults in estimating the Age with an MAE of 4.1 and Gender with anaccuracy of 99.9% on the South East Asian Population. The engagingthe system has increased the customer acquisition of Prudential Thailandby 18 percent leading to a growth in revenue of around 1.2 million permonth.• Developed a model for understanding financial news articles andestimating Environmental, social, and governance (ESG) risks, helpingportfolio managers evaluate companies on the security and portfoliolevel. The Model helped East-Spring Investments become ESGcompliant and achieved 78% accuracy in classifying the risks across allthree levels.• Developed claim automation system for Prudential Indonesia andSingapore, wherein it decides if a customer’s claim should be approvedor rejected for processing payment based on the customer’s history,products data and claims data. The model helped reduced the overallclaim screening and processing time from 9 days to 25 minutes with85% accuracy. Show less

Mumbai Area, India

Mumbai Area, India

• Developed a predictive maintenance model for BOSCH where themodel was used to predict which particular parts would fail qualitycontrol during the production process. Sensor data was used to predictinternal failures using thousands of measurements and tests made foreach component along the assembly line. This enabled Bosch to bringquality products at lower costs to the end-user.• Developed a model predicting if a customer would likely subscribe tomarketing campaign… Show more • Developed a predictive maintenance model for BOSCH where themodel was used to predict which particular parts would fail qualitycontrol during the production process. Sensor data was used to predictinternal failures using thousands of measurements and tests made foreach component along the assembly line. This enabled Bosch to bringquality products at lower costs to the end-user.• Developed a model predicting if a customer would likely subscribe tomarketing campaign for a banking institution using an ensemble ofRandom Forest and Gradient Boosting techniques.• Identifying data sources, gathering data, and providing reports fromdifferent legacy systems for analysis and ad-hoc tasks.• Developed a desktop-based claim processing system for submitting,monitoring and approval of claims for UK-based health care clients. Show less

Mumbai

As a Data Science student at GreyAtom, I studied the methodological and mathematical foundations of Data science and Machine learning, as well as practical, hands-on skills. Classwork involved in-class hands-on Data science assignments, projects, and hackathons with a focus on real-world applications of data science principles and best practices.Worked on some of the most important Python libraries like sci-kit-learn, pandas, NumPy, seaborn, matplotlib, and some other data… Show more As a Data Science student at GreyAtom, I studied the methodological and mathematical foundations of Data science and Machine learning, as well as practical, hands-on skills. Classwork involved in-class hands-on Data science assignments, projects, and hackathons with a focus on real-world applications of data science principles and best practices.Worked on some of the most important Python libraries like sci-kit-learn, pandas, NumPy, seaborn, matplotlib, and some other data visualization libraries/tools. As the course got to completion, I developed expertise in Exploratory analysis, Predictive modeling, Natural Language processing, and supervised Machine learning. Show less