Oct 2021 – May 2022 · 7 mos

• Worked as a Data Scientist in Product and Analytics R&D Team solving US Healthcare problems via Data Science, NLP & Machine Learning.
• Automated Natural Language Querying on PowerBI via Rasa chatbot development with NLP to improve the efficiency.
• Created data migration pipeline for data movement from S3 and storing to Redshift and Postgres database saving 2 days effort.

Dec 2019 – Sep 2021 · 1 yr 9 mos

• Refining datasets, performing quantitative data analysis and providing analytical decision-making support for projects.
• Developed Schema Mapping Engine solution by leveraging text distancing & machine learning techniques to automate the process of mapping Healthcare EMR data into standard unified data model.
• Architected & developed Healthcare KPIs benchmarking solution from scratch and deployed the Rest APIs & dashboards on customers. Also, created Postgres database for storing dataset to be used for training models.
• Performed Exploratory Data analysis, data cleaning and developed supervised and unsupervised algorithms for Healthcare KPI Prediction.

Sep 2018 – Dec 2019 · 1 yr 3 mos · Noida Area, India

• Created and presented POCs on Image Classification, Sentiment Analysis and Time Prediction that not only yielded high
• accuracy but also added two new customers to the company along with two projects from the existing client.
• Developed & integrated time prediction algorithm for Cartopia commit transaction which saved ~2000 hours/month.
• Developed independent functionalities for Land Cover Prediction along with preparation of functional specifications, design &
• user documents. Worked on implementing K-means Clustering & PCA to automate QC process of data capturing by up to ~80%.
• Collaborated across multiple production and engineering disciplines, brainstorming with the team to understand tasks that
• involve manual work and working on automated solutions for these systems to save manual efforts and cost.
• Applied Deep Learning in one of the projects to automate it via Image Categorization which saved ~4200 hours/month.
• Implemented analytical solutions using Python, PostgreSQL, feature engineering and more for solving analytics problems within engineering and production.
• Performed exploratory data analysis, hypotheses testing, preparation and analysis of historical data to identify pattern.
• Effectively applied statistical and predictive modelling concepts, machine learning and deep learning approaches, clustering and classification techniques and optimization algorithms on various business problems.

Dec 2016 – Sep 2018 · 1 yr 9 mos · Noida Area, India

• Worked as a developer in a retail project for U.S. based client. Also worked on Machine Learning projects in TCS Innovation Labs (Kerala).
• Improved applications and services of our customers by using latest technologies and adopting Agile methodology.
• Gathering & understanding requirements from client through WebEx meetings, analysing and implementing the same by developing reusable and automated components for the application which caters client’s needs.
• Developed independent functionalities along with preparation of functional specifications & design documents.
• Optimised the performance of 8 modules by reducing the screen load time by up to 95% and automated 5 processes via Python scripts.
• Involved in all SDLC processes & time estimation for requirement with various enhancement work for BDM2.0.
• Worked as independent application owner for CVS to GIT migration of BDM2.0 and received on the Spot Award for it.
• Technologies and Tools Used: Java, Python, Machine Learning, Jupyter Notebook, IBM RAD 8.5, J2EE, PL/SQL, JavaScript, Bounce, MyBatis.

Jun 2015 – Aug 2015 · 2 mos · Goa, India

• Worked as a Team Leader for two weeks (out of total time of internship) and gave presentations to Mr. Petrovic (GM CV), Mr. Neuefeind (GM XP) Dr. Molnar (CEO CV).
• Received an achievement certificate from Siemens, Germany for Excellent Overall Individual Performance with Grade Point 1.0 (http://goo.gl/cCC6kB)
• (Excellent) and was offered extension of work period.
• Worked on software projects relevant to x-ray products with interdisciplinary teams in India, China, Turkey & Germany.
• Gave educational training on software tools & methodologies along with presentations about team outcomes to the teams in India as well as Germany to implement in ongoing Innovation Think Tank (ITT) Projects.
• Designed and developed User Guide Android App for Multimobil used by the doctors and implemented Machine Learning in disease analysis project.

Jun 2014 – Jul 2014 · 1 mo · New Delhi Area, India

• Worked on Artificial Intelligence project (Human Gender Detector) by implementing Neural Networks using nntool in MATLAB, which got selected among the finalists in Innovation Research Lab Exhibition (2016), Germany.
• Brainstormed with Defence Terrain Research Lab professionals to understand the technologies used for Indian security.