Mar 2022 – Nov 2024 · 2 yrs 8 mos · Gurugram, Haryana, India · Hybrid

• 1. Multi-class Model for Health Insurance Denial Prediction:
• Employed advanced machine learning techniques to analyze and
• classify large-scale health insurance data.
• Utilized data engineering skills to preprocess and manage the
• vast dataset, ensuring efficient data handling and model training.
• Implemented data analytics to interpret model outputs and
• provide actionable insights for stakeholders.
• 2. Credit Score Analysis and Reporting
• Developed comprehensive datasets using Python and SQL to
• facilitate detailed analysis.
• Applied data analytics to generate reports, revealing trends and
• patterns in credit scores across financial institutions.
• Provided insights to enhance credit assessment processes and
• strategies.
• 3. Predictive Models for Loan and Credit Card Customers
• Designed and trained predictive models to identify potential loan
• and credit card customers, leveraging historical data.
• Utilized data engineering techniques to preprocess and prepare
• data for model training.
• Delivered predictive analytics to support targeted marketing and
• customer acquisition strategies.
• 4. Credit Risk Modelling and Analytics
• Gathered data from various sources, including historical loan
• performance data, customer demographics, financial records,
• and external economic indicators.
• Developed and deployed a comprehensive credit risk model to
• predict the likelihood of loan default, aiming to improve the
• accuracy of credit risk assessments and enhance decision-
• making processes in loan approvals.

Jun 2020 – Mar 2022 · 1 yr 9 mos · India

• Advanced Data Analytics and Machine Learning Dashboard for
• Market Mix Modeling
• Interactive Dashboards:
• Designed and developed interactive machine learning and
• analytics dashboards using R-Shiny and Dash (Python).
• Enabled users to create and analyze market mix models
• effortlessly through intuitive interfaces.
• Machine Learning Integration:
• Implemented machine learning algorithms, including linear
• and Bayesian regression, to build accurate and predictive
• market mix models.
• Data Engineering:
• Created sophisticated data pipelines to fetch data from
• multiple BMCs (Brand Marketing Channels) and make it
• available for modelling and analysis.
• Ensured data integrity and accessibility by setting up and
• maintaining multiple tables and stored procedures in SQL
• Advanced Data Analytics:
• Conducted in-depth data analytics using complex
• visualizations created in R and Python.
• Coding and Automation:
• Wrote complex codes in R and Python for data wrangling,
• manipulation, and transformation.
• Automated data processing workflows to enhance efficiency
• and accuracy in data handling and analysis.

Jan 2018 – Mar 2020 · 2 yrs 2 mos · Gurgaon, India

• Produce data layers, maps, tables, or reports, using spatial analysis procedures or Geographic Information Systems (GIS) technology, equipments, or systems.
• Creating different Drought Index (SPI, PDSI, VCI) from Geo-Spatial data and clustering different farms on a scale from High drought prone to Low drought prone.
• Commodity price prediction using data scraped from different public domains and Geo-Spatial data. Major task was to combine tabular data with image data and applying machine learning techniques over them.
• Crop Classification using Geo-Spatial data and multi-temporal indices from sentinel 2a satellite imageries.
• Location analytics by combining Geo-Spatial Data with tabular data to create analytical reports which provide correlation, insights to clients. Same reports were created and delivered to clients such as, YES Bank, Munich Re, Swiss Re, SBI General, DeHaat, AgroStar, etc. as pilot projects.
• Creating animations from Geo-Spatial Data for analytics purposes during the events of Fani Cyclone, Vayu Cyclone, Increase in Burning of bushes in States of Punjab and Haryana, Decrease in quality of Air in New Delhi and nearby areas.
• Setting up pipelines (clean, time and space complex codes) to create weather indices, such as, Rainfall, Temperature, Soil Moisture, etc from Geo-Spatial images and store them in different formats, most specifically in image format (Amazon S3 bucket) and table format (PostgresSQL)
• Coordinate the development or administration of GIS projects, including the development of technical priorities, client reporting and interface.
• Leading and working on development of Geo-Spatial platform (Time-Series Analysis) for Agriculture by using satellite imagery, machine learning and image processing.
• Building dashboards for analytical purposes using R shiny for internal use.
• Creating APIs using Flask Python for internal use.

Mar 2017 – Jan 2018 · 10 mos · Bengaluru, Karnataka, India

Nov 2016 – Feb 2017 · 3 mos · Bengaluru, Karnataka, India

Jun 2015 – Oct 2016 · 1 yr 4 mos · Greater Jaipur Area

• Planning Different Strategies for the overall Development of the Company and Executing them accordingly.
• Communicating with Potential clients and consulting them for the best solution.
• Designing Branding Strategies for Up&Coming Companies/Organisation.
• Researching & Analyzing Market trends to develop the best Marketing Strategies.