Profile Summary

Data science and machine learning professional with nearly 8 years of experience in clinical research and insurance sectors. Expert in leveraging data-driven insights and advanced machine learning methods to solve complex business problems. Proven track record in deploying and validating product features that enhance pricing strategies, user interfaces, and financial optimization. Successfully led teams to develop robust data engineering pipelines and predictive models.

Technical Skills

Programming Languages: Python, SQL
Machine Learning: Scikit-learn, TensorFlow, PyTorch, NLP
Data Visualization Tools: Tableau, Plotly, MS Excel
Cloud Platforms: AWS - EC2, RDS, Redshift, Glue, EKS, Lambda
Bigdata Technologies: Spark, Hadoop
CI-CD: Git, Docker, Kubernetes, CloudFormation

Certifications

Applied Data Science II: Machine Learning & Statistical Analysis (with honors) - World Quant University, New Orleans
Certified NLP Developer - Vskills
Certified Python Developer - Vskills
Python for Data Science – Cognitive Class (IBM)
Math for Machine Learning – Amazon
Certified Tableau Author - Tableau
Certified Basic Agile Testing - Agile Testing Alliance
Certified Selenium Automation Testing - Agile Testing Alliance
ISTQB - International Software Testing Qualifications Board

Projects Achievements

ZS Associates — Data Science Lead
Apr 2021 - Present

Clinical Supply Chain Optimization:
Clinical Trial and Comparator Drug Supply: Developed a predictive analytics framework using AWS to optimize the global supply chain for clinical drugs. Improved demand forecasting accuracy by 20%. This solutions earlier in pilot phase was created for only US and then later was scaled to four more countries in Europe after addressing challenges related to governance and data architecture.
Safety Stock Optimization: Integrated mathematical modeling techniques to refine safety stock calculations, reducing excess inventory by 15%. This process also involved addressing data capture limitation and creating solution based on transactional data.
Analytics Insights Engine: Designed a SPARK-based analytics engine interfacing with Salesforce, enhancing MSL engagement strategies with HCPs. This solution has now been successfully operational for Canada and Europe regions as well though initially planned for only US.

Collabera — Data Engineer
Sep 2020 - Apr 2021

Data Diagnostics Dashboard: Designed and implemented backend data model and frontend dashboard for Real World Data (RWD) analysis. AWS Redshift was utilized to host the RWD data and final reporting frontend was created using Plotly on cloud hosted instance of Jupyter notebook. This project has been a success in terms of reducing analysis time (this was multi step and manual earlier) and being a cost efficient solution with use of open source technologies.

L&T Infotech — Engineer
Sep 2016 - May 2020

Duckcreek Response Analysis: Extracted and validated XML responses from an insurance admin system using Python.
Breakdown Cover Recommendation: Developed a clustering-based recommendation system for an insurance client, leading to improved customer satisfaction and retention. There has been a decrease of 30% in terms of customer drop outs from product landing page and 50% lesser queries to in call customer care.

Project and Technology Stack

ZS Associates — Data Science Lead
Apr 2021 - Present

Clinical Supply Chain Optimization - Python, AWS, MCMC

Architected and led implementation of predictive analytics framework using AWS to optimize the global supply chain for clinical drugs.
Liaison with multiple teams - platform, supply chain, data science for effectively building of robust data engineering pipelines and model training processes.

Analytics Insights Engine - Python, SQL, Spark, NLP

Led the design and deployment of a SPARK-based analytics engine that interfaces seamlessly with Salesforce, enhancing Medical Science Liaisons’ (MSLs) engagement strategies with Healthcare Professionals (HCPs).
Operationalized data engineering pipelines and orchestrated workflow automation.

L&T Infotech — Data Engineer
Sep 2016 - May 2020

Breakdown Cover Recommendation - Python, Machine Learning (SVM), Scikit-Learn, SQL, API, JAVA, Selenium

End to end implementation of an Machine Learning based response API to the website frontend.
Responsible for re-training of model and ensuring all QC checks are passed by the model before each operational updates in weights.
Integrated the ML API Response to the website frontend with REST API
Frontend UI Testing Automation script creation for validation and capture of the response served to the user on the website using JAVA Selenium.

Duckcreek Response Analysis - Python, XML, Data Pre-Processing

Automated the extraction and validation of XML API response which helped save validation time for DuckCreek Insurance system.
Integrated these tests to project Automated test suite on Selenium.

Roles and Responsibilities

Architected the solution in AWS Cloud: Work with the stakeholders to finalize the design and calculate the infrastructure cost/planned budget for this architecture. Coordinate with other cloud teams for whitelisting and resource provisioning.
Prototyping and Deploying ML-Based Features: Proficiently prototyping and integrating machine learning model-based features across diverse platforms, driving enhanced functionality and performance.
Ensuring Feature Implementation and Testing: Ensured the successful implementation and rigorous testing of product features, spanning both User Acceptance Testing (UAT) and production environments.
Empowering Various Teams with ML Capabilities: Provided valuable machine learning capabilities to pricing, finance, and promotion analytics teams, empowering them to make data-informed decisions.
Data Pre-processing and Preparation: Expertly managed data pre-processing and preparation tasks, handling data from sources such as XML, JSON, and SQL databases, ensuring data quality and consistency.
Dashboard and Report Development: Designed and developed dashboards and reports on Tableau, offering valuable insights and evaluation metrics for stakeholders and decision-makers.
Testing and Quality Control: Devised and implemented automated testing solution for System Integration (SIT), Direct Validation (DVT).
Test Management: Responsible for test execution and defect tracking on HP ALM and JIRA

Project Management

Agile, Release Planning, SOW Creation, Resource Planning, Timeline Estimation, JIRA, HP-ALM, Kanban

Release Planning - Defined project scope, goals, and deliverables in collaboration with senior management and stakeholders.
Task Management - Coordinated team activities, assigned tasks, and monitored progress to ensure adherence to project timelines.
Peer Reviews- Ensured the accuracy and quality of data, models, and analysis.
JIRA Project Tracking - Tracked project performance and outcomes using appropriate metrics and reported progress to stakeholders.
Retrospection - Implemented feedback and lessons learned to drive continuous improvement in future projects.

Educational Background

Bharati Vidyapeeth College of Engineering, Pune
Bachelor of Technology - Electronics Engineering 2012 - 2016

Percentage: 69.3%

Diploma - Network Security 2012 - 2015

Percentage: 78%

Army Public School, Allahabad 2009 - 2011

Senior Secondary - 78.2%

Army School, Udhampur 2008 - 2009

Higher Secondary - 88.6%

Published Journal

Rectenne - Introducing wireless powered devices can reduce pollution from hazardous battery chemicals, making mobile devices fully wireless while minimizing environmental interference through proper regulations and establishing safety standards for wireless power applications.