About Vishal
Highly analytical and process-oriented scientist, strategist, and technical community builder with 7 years of cross-industry experience and significant experience in Analytics, Machine learning, Predictive Modeling, Classification Models, data visualizations, Exploratory data analysis, and other data science activities. Highly skilled in R Programming, Linear Regression, Statistics, intermediate skills in Python, and a master's degree in Data Science from BITS, Pilani. Working Experience of FORTUNE 500 company. Passionate about integrating statistical and computation methods into digital products to drive business value. I am a driven leader with interdisciplinary, technical background, combining academic curiosity with industry best practices. I greatly value mentorship, collaborative team building, creative solutions, transparency, and personal growth. Pursuing Ph.D. in Computer Science and Engineering from Amity University, Noida.
Data Science | Machine Learning | Data Mining | Data Visualizations | Statistics | R Programming | R Shiny | Keras | Tensor Flow | Predictive Modelling | PCA | Clustering | Classification | Regression | Association Rules | UNIX | Shell scripting | Agile Methodology
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- Equipped Analytical IntelligenceSenior Analyst - Pricing & R Shiny (A&BI)BANKING AND INSURANCEJuly 2021 - Today (4 years and 11 months)Noida, Uttar Pradesh, IndiaProject: Portfolio Pricing | Data Science | R Programming- Pricing prospective investment opportunities and existing investments- Performing loans, non-performing loans, and securitisation pricing- Identify the probability of default along with future collections and prepayments in loans- Create models to identify the best price to purchase the portfolio- Preparation of risk and return analysis in the Investment Review Committee (IRC) document- Multiple successful portfolios purchased with a maximum of £150 million Project: Minerva Product Analytics | Data Science | R Programming- Perform competitive analysis of the products and services offered in the market by FinTech Organisations- Gap analysis on the identified products and services- Memorandum analytics based on NLP techniques- Channel mix model to predict the potential channel for the borrowers in Non Performing Loans- Database Health and audit tool for all the databases in the data warehouse Project: Delivery Engine | Data Science | R Programming- Develop a natural language system to predict the potential standardized value for a new categorical value found in the data warehouse- Create a pipeline for one-click automation of Quality Checks and workflow efficiencies- Create functions for the automation of certain activities performed by the team (Report Generation & QA)- Create an algorithm for the rationalisation of code across teams- Create data standardization mapping using NLP Project: Equipped Library | Data Science | R Programming & Python- Create an end-to-end R library from scratch- Create functions supporting Performing and Non-Performing Loans- Conduct Internal training to teach the team R concepts- Implement analytical concepts like Markov Chains in R- Create models for predicting the strength of the portfolio- Create data standardization mapping using NLP
- CBREData ScientistJanuary 2020 - July 2021 (1 year and 6 months)Gurugram, Haryana, IndiaProject: Portfolio Transformation Calculator Link: https://vantage-delivered.com/calculator/index.html- Predict potential savings due to reduced staff during COVID-19- Build a best-in-class dashboard for multiple stakeholders- Plot the complete output before and after COVID-19 and predict the expected reduction in cost- Enable sharing functionality for sharing the scenario with other users Project: EDA Automation- Automate the generation of EDA Documents so that anyone can run it- Creating and regular updates in the conditional library- Contribute to the documentation of the process to assist various team members Project: CBRE Pathfinder Link: https://cbre-client-solutions.shinyapps.io/Pathfinder_UI/_w_43db1e55/- Dashboard for executing and fetching results from various models/algorithms defined by CBRE experts- Implement supervised learning methods to assist in the property management decisions for the clients- The models created in Python and accessed using APIs in R- Flask app runs on AWS, and then APIs are hit using R to get the results after the execution of the algorithm- Leveraging the output of the model to create the dashboards in Tableau Project: CBRE Dimensions Link: https://maps.cbre.com/GC17- CBRE's Location Intelligence System- On the basis of city names, location names, etc., identify the complete address with location intelligence- Find the latitude and longitude using the location attributes using google maps API Project: Portfolio Sites Link: https://cbre-client-solutions.shinyapps.io/Apergy/_w_0e26f17b/- Dashboard to present the various types of sites/locations- Information regarding the sites, for example, size, annual rent, workforce, etc.- Filtering of locations on the basis of various factors Project: COVID-19 Datasets Link: https://rpubs.com/vishalsharma3003/covid-19-datasets- Web scrapping for COVID-19 Datasets- Research and gather various COVID-19 datasets for further use
- Sopra Banking SoftwareModule LeadAugust 2019 - January 2020 (5 months)Noida, Uttar Pradesh, India
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Education
- Master of TechnologyBirla Institute of Technology and Science, Pilani2020Master of Technology - MTech, Data Analytics
- Bachelor of TechnologyInderprastha Engineering College2015Bachelor of Technology - BTech, Computer Science