Oshan M.

Oshan M.

Senior Data Scientist

Jaipur, India
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About Me

Oshan is a Senior Data Scientist developing and delivering machine learning models and system-wide applications to execute analytical functions and validate models on projects. He works on data modelling, ETL, data cleansing, data integration, and data mining using the latest statistical, analytical and visualization tools and techniques to draw insights and present results in a cohesive, intuitive manner.

Work history

UpStack
UpStack
Senior Data Engineer
2022 - Present (2 years)
Remote
  • Employ modern database solutions in implementing data, ETL, big data pipelines, and cloud services on projects.

  • Develop and maintain database pipeline architectures for clients - transforming data into actionable insights.

  • Collaborate closely with teams of software engineers, product managers, and other stakeholders on projects.

Equal Experts
Equal Experts
Data Scientist
2020 - Present (4 years)
Bengaluru, India
  • Utilize data analytics tools and techniques to derive valuable insights from datasets.

  • Obtain, merge, reshape, clean and evaluate the quality of datasets on projects.

  • Collaborate with different teams to propose solutions and strategies to business challenges.

Number Theory
Number Theory
Lead Data Scientist
2019 - 2019
Jakarta, Indonesia
  • Worked with predictive analytics, machine learning and other data science methods to derive insights for clients.

  • Owned projects end-to-end ensured that work solutions adhered to methodological and data science best practices.

  • Analyzed large volumes of structured and unstructured data, enhanced data models and provided better data quality controls on projects.

dataYogi
dataYogi
Data Scientist
2017 - Present (7 years)
Jaipur, India
  • Designed strategies to enhance ARPU, worked on marketing campaigns and improved CRM services.

  • Deployed models to predict and calculate health insurance claims and premiums charged clients.

  • Built new models to improve the bank's credit card penetration project - predicting spend erosion and identifying cross-sell opportunities.

HAL Robotics
HAL Robotics
Lead Data Scientist
2017 - 2017
Gurgaon, India
  • Implemented a hidden Markov model to identify wireless devices using GSM calls - providing $2,500 savings in location API calls.

  • Designed and modelled a neural network to find road coordinates and identify the position of moving assets on city maps.

  • Managed the analytics process on the project - maintaining key metrics in collaboration with the DWH team.

TransOrg Analytics
TransOrg Analytics
Analytics Lead
2014 - 2017 (3 years)
Gurgaon, India
  • Built a recommendation engine to identify products with high acceptance propensity among multiple B2B products.

  • Implemented an entity matching solution to map records across different databases using pre-defined rules for a client.

  • Released an automated zone allocation solution that allows a logistics service provider to assign parcels for delivery.

ZS Associate
ZS Associate
Business Operations Associate
2012 - 2014 (2 years)
Gurgaon, India
  • Provided expertise and solutions on sizing, deployment, incentive compensation and admin for a US-based client.

  • Worked on benchmark studies and standardized KPIs to enhance the operations of the sales team.

  • Built and implemented process automation tools to reduce cycle times for IC administration and enhance operational excellence.

Portfolio

Data Scientist - COVID X-Ray Classifier
Data Scientist - COVID X-Ray Classifier

Worked on a web app that detects signs of COVID-19 based on a chest X-Ray image. With >99% classification accuracy, the app significantly reduced reaction time from a few days to just a few hours. Designed and implemented the key features and functionalities of the app - showcasing how impactful and usable the solution can be in India where adequate testing mechanisms are not accessible to most.

Data Scientist - Analytics Playground
Data Scientist - Analytics Playground

Designed and implemented a web app that builds regression models and compares their performance in real-time. The app allows users to select and remove features, perform feature engineering on the fly, experiment with different training algorithms, and visualize and compare results from various models. The solution was useful on a data analytics course for renowned B-schools.

Education

2020 Complete Python Bootcamp: From Zero to Hero in Python
2020 Complete Python Bootcamp: From Zero to Hero in Python
Udemy
2020 - 2020
Google Cloud Platform Big Data and Machine Learning Fundamentals Google Cloud
Google Cloud Platform Big Data and Machine Learning Fundamentals Google Cloud
Google Cloud Certified
2017 - 2017
1.  Neural Networks and Deep Learning
2.  Fundamentals of Visualization with Tableau
3.  Machine Learning: Classification
4.  Machine Learning Foundations: A Case Study Approach
5.  Machine Learning: Regression
6.  Learning How to Learn - Powerful mental tools to help you master tough subjects
7.  An Introduction to Interactive Programming in Python (Part 1)
8.  R Programming
9.  The Data Scientist’s Toolbox
1. Neural Networks and Deep Learning 2. Fundamentals of Visualization with Tableau 3. Machine Learning: Classification 4. Machine Learning Foundations: A Case Study Approach 5. Machine Learning: Regression 6. Learning How to Learn - Powerful mental tools to help you master tough subjects 7. An Introduction to Interactive Programming in Python (Part 1) 8. R Programming 9. The Data Scientist’s Toolbox
Coursera
2014 - 2017 (3 years)
BTech. Electrical Engineering
BTech. Electrical Engineering
Malaviya National Institute of Technology Jaipur
2008 - 2012 (4 years)